5 Dimensions and Attributes

Retail Analytics dimensions and attributes represent the structure and activities of a retail organization and make measurement possible. Data is stored at low levels to allow maximum flexibility in reporting. Dimensions and their attributes allow you to summarize this information at higher levels where it is needed to support business decision-making. For example, the Sales fact table holds data at the location, item, and day level. The time, product, and organization dimensions allow you to summarize this data at any level at which it is needed.

Note: This chapter contains selective lists of dimensions and attributes. See Appendix B, "Reporting on Oracle BI Repository Objects" for information about producing comprehensive listings of Oracle BI repository objects.

Business Calendar

The business calendar (fiscal calendar) is a dimension based on a retailer's calendar and is not aligned with the Gregorian/solar calendar. It is used in place of the Gregorian calendar to eliminate discrepancies in the number of days per month, as well as number of weekend days per month. The business calendar is sometimes just called the time calendar.

The business calendar can be based on a variation of the 4-5-4 calendar or the 13-period calendar. Both of these types of calendars allocate exactly seven days to every week, unlike the Gregorian calendar. Most facts are qualified by a calendar attribute.

The following is the hierarchy of the Business Calendar dimension.

Table 5-1 lists the attributes of the Business Calendar dimension.

Table 5-1 Business Calendar Dimension Attributes

Attribute	Definition
Fiscal Period	The period of time, generally a month, reflected in financial statements.
Fiscal Year Number	Represents the period of year which company uses for calculating its annual fiscal statement.
Fiscal Year	Represents the period of year which company uses for calculating its annual fiscal statement.
Fiscal Year Start Date	Represents the start date of fiscal year for the company.
Fiscal Year End Date	Represents the end date of fiscal year for the company
Fiscal Half Year	Fiscal half-year period name.
Fiscal Quarter	Represents the fiscal quarter for the company
Fiscal Period Start Date	Represents the start date of fiscal period for the company.
Fiscal Period End Date	Represents the end date of fiscal period for the company.
Fiscal Week	Represents the fiscal week for the company.
Fiscal Week Start Date	Represents the start date of fiscal week for the company.
Fiscal Week End Date	Represents the end date of fiscal week for the company.
Fiscal Day Name	Fiscal Day Name
Fiscal Date	Represents the fiscal date.

4-5-4 Calendar

The 4-5-4 calendar is the default calendar. The calendar can be implemented as 4-5-4, 4-4-5, or 5-4-4, depending upon your needs. In addition, you determine the day of the week on which each week begins and ends. Every quarter contains 13 full weeks. Quarters have two 4-week months and one 5-week month.

13-Period Calendar

A 13-period calendar year is divided into 13 periods of four weeks (28 days). Every fifth or sixth year, there are 53 weeks. The calendar has a 28-year cycle of 6 years, 5 years, 6 years, 6 years, and 5 years. The 13-period calendar hierarchy is as follows.

Gregorian Calendar

The Gregorian calendar is a solar calendar that is based on the length of the earth's revolution around the sun. The Gregorian calendar is divided into 11 months of 30 or 31 days, plus February. February has 28 or 29 days, depending on whether the year is a leap year (occurring every four years). Thus, the Gregorian year is either 365 or 366 days.

The following is the hierarchy of the Gregorian calendar.

Note: Only one type of business calendar (4-5-4 or 13-period) can be installed for Retail Analytics, in addition to the Gregorian calendar.

Table 5-2 Gregorian Calendar Dimension Attributes

Attribute	Definition
Year Number	This is the Gregorian Year Number
Year	This is the Gregorian Year
Year Start Date	This is the Gregorian Year Start Date
Year End Date	This is the Gregorian Year End Date
Half Year	This is the Gregorian Half Year
Quarter	This is the Gregorian Quarter
Month	Indicate the month.
Month Start Date	This is the start date of the gregorian month.
Month End Date	This is the end date of the gregorian month.
Week	This is the Gregorian Week
Week Start Date	This is the Gregorian Week Start Date
Week End Date	This is the Gregorian Week End Date
Day Name	This is the Gregorian Day Name
Date	This is the Gregorian Date

Time of Day

The Time of Day dimension permits analysis in the areas of loss prevention and employee productivity, where identifying problems and trends requires the use of hourly or smaller time increments. In addition, the Time of Day dimension allows analysis of sales and return transactions on an hourly basis.

The following is the hierarchy for the Time of Day dimension.

Table 5-3 lists the attributes of the Time of Day dimension.

Table 5-3 Time of Day Dimension Attributes

Attribute	Definition
Hour Number 24 Hour Format	Hour portion in 24-hour format.
Qtr Hour Interval	A quarter-hour time slice within the 24-hour period, starting at 0:00 - 0:15to 23:45 - 23:59, numbered from 1 to 4 to indicate the quarter of that hour.
Minute Number	Minute portion in 24-hour or 12-hour format, numbered from 1 to 60 to indicate the minute of that hour.

Employee

The Employee dimension stores data about the employees who work for a retailer. The Employee dimension is attached to sales transactions and is used for productivity and loss prevention reporting.

The employee data that is supplied by Oracle Retail Merchandising System (RMS) relates only to stores and warehouses and does not include headquarters employees. Other types of employee data that do not exist in RMS, but are desirable for reporting, pertain to employee hours worked and compensation.

Table 5-4 lists the attributes of the Employee dimension.

Table 5-4 Employee Dimension Attributes

Attribute	Definition
Cashier Flag	Indicator of whether if the employee is a cashier, with values of ”Y” for yes and ”N” for no. An employee can be both a cashier and a salesperson at the same time.
Sales Rep Flag	Indicator of whether the employee is a salesperson, with values of ”Y” for yes and ”N” for no. An employee can be both a cashier and a sales person at the same time.

Cluster

Understanding consumer shopping behavior is important to help retailers when planning assortment, pricing, promotions and other key merchandising decisions.

This includes understanding:

• Who shops (or is expected to shop) the merchandise area (Department or Class)

• How they would shop the merchandise area as well as other merchandise areas when in the store

This information helps retailers develop strategies and tactical execution plans that are tailored to meet specific customers needs, thus maximizing customer satisfaction while meeting retailers overall business objectives around increased profitability and growth.

Understanding the makeup of the local consumers shopping each individual store is important in developing assortment, pricing and promotion strategies that are tailored to the local consumer needs. However, given the number of stores at a typical retailer, it is not possible to manually plan these at the individual store level. Hence the need for the intelligent grouping of similar stores into clusters.

Clustering stores enables retailers to manage large chains (that is, greater than 500 locations) in an efficient manner. Effective clustering should involve a small number of clusters providing maximum differentiation among one another, while minimizing the difference between the locations within each cluster. In other words, stores in a single cluster should be fairly homogeneous, while the clusters themselves should be heterogeneous.

Stores can be clustered based on their similarity in attributes such as performance, size or format of store, weather, or based on similarity in customer make up based on their demographic attributes.

Clusters are organized into the following hierarchy: Cluster Group - Cluster - Location: below is an example hierarchy.

Cluster Attributes

Table 5-5 Cluster Attribute Dimensions

Attribute	Definition
Cluster Group Code	The cluster group code is a business code that is also a unique identifier for a cluster group
Cluster Group Label	The cluster group label is a short description of why the cluster group was built.
Cluster Group Type	Cluster groups are built for multiple reasons, the cluster group type states what the cluster group was built for. Valid cluster group types could be promo, price, markdown, assortment, inventory, replenishment, performance, etc. The cluster group type should be considered required, as it is the only attribute to make sure cluster groups are unique.
Cluster Code	The cluster code is a business code that is also a unique identifier for a cluster within a cluster group.
Cluster Name	The cluster name is a short description of the cluster.
Cluster Description	The cluster description is a long description of the cluster.
Primary Life-stage	Primary life-stage is the most prominent life-stage within a cluster - since clusters can be made up of multiple customer segments - there can be more than one life-stage present. Hence this attribute being the primary or most prominent life-stage attribute value.
Primary Ethnicity	Primary ethnicity is the most prominent ethnicity within a cluster - since clusters can be made up of multiple customer segments - there can be more than one ethnicity present. Hence this attribute being the primary or most prominent ethnicity attribute value.
Primary Education Level	Primary education level is the most prominent education level within a cluster - since clusters can be made up of multiple customer segments - there can be more than one education level present. Hence this attribute being the primary or most prominent education level attribute value.
Primary Typical Lifestyle	Primary typical lifestyle is the most prominent typical lifestyle within a cluster - since clusters can be made up of multiple customer segments - there can be more than one typical lifestyle present. Hence this attribute being the primary or most prominent typical lifestyle attribute value.
Primary Income Level	Primary income level is the most prominent income level within a cluster - since clusters can be made up of multiple customer segments - there can be more than one income level present. Hence this attribute being the primary or most prominent income level attribute value.
Primary Dwelling Type	Primary dwelling type is the most prominent dwelling type within a cluster - since clusters can be made up of multiple customer segments - there can be more than one dwelling type present. Hence this attribute being the primary or most prominent dwelling type attribute value.
Primary Age Class	Primary age class is the most prominent age class within a cluster - since clusters can be made up of multiple customer segments - there can be more than one age class present. Hence this attribute being the primary or most prominent age class attribute value.

Consumer Attributes

Growing retailers need to attract new customers, and the key to attracting customers is understanding them. Oracle Retail Analytics offers a means for retailers to understand and attract new customers and in so doing grow their businesses.

Retailers can use Oracle Retail Analytics' Consumer Analysis to develop a deep understanding of consumers (that is, those shoppers who are their potential customers). It helps retailers understand the types of purchases each consumer segment makes, where the most desirable consumers live and shop, and in which product categories they should be competing for consumers. Building on that knowledge, retailers can build effective strategies to induce consumers to buy their products, and convert them from out-of-reach, obscure consumers to familiar, loyal, and revenue-producing customers.

Table 5-6 Consumer Dimension Attributes

Attribute	Definition
Consumer Household Attributes
Head of Household Age	This attribute is the age of consumer who is designated head of the household.
Household Size	This attribute is the size of a consumer's household.
Income	This attribute lists the income of a household.
Number of Children	This attribute lists the number of children aged 0 to 12 residing in a household.
Number of Teens	This attribute lists the number of teenagers residing in a household.
Number of Adults	This attribute lists the number of adults residing in a household.
Number of Seniors	This attribute lists the number of seniors residing in a household.
Consumer Household Group
Household Size	This attribute lists the number of residents of a household.
Household Income	This attribute lists the income for a household.
Household Income Level	This attribute lists the income level for a household.
Male Age Range	This attribute lists the age range of the male who is designated as the head of the household.
Female Age Range	This attribute lists the age range of the female who is designated as the head of household.
Household Head Age Level	This attribute lists the age level of the person who is designated as the head of the household.
Female Head Education	This attribute lists the highest education level attained by a female head of household.
Male Head Education	This attribute lists the highest education level attained by a male head of household.
Presence of Children	This attribute indicates the presence of children in a consumer's household. Possible values are "Y"and "N".
Ethnicity	This attribute indicates the ethnicity of a household.
Hispanic Household	This attribute indicates whether the household is Hispanic. This is primarily used by US grocery retailers to drive assortment decisions.
Female Head Occupation	This attribute lists the occupation of the female identified as the head of household.
Male Head Occupation	This attribute lists the occupation of the male identified as the head of household.
Female Head Employment	This attribute indicates the time spent at work by the female head of household. 1 = under 30 hours; 2 = 30-34 hours; 3 = 35+ hours; 9 = not employed for pay; 0 = no female head
Male Head Employment	This attribute indicates the time spent at work by the male head of household. 1 = under 30 hours; 2 = 30-34 hours; 3 = 35+ hours; 9 = not employed for pay; 0 = no male head.
Household Composition Group	This attribute lists the household level characteristic that classifies the type of adults residing in each home. This provides insight into the likely household makeup. Examples of Composition Groups are Single, Married, 2 Person, Group
Composition Group Indicator	This attribute lists the household level characteristic that further classifies the makeup of Household. For Household with Composition Group of Single, Composition Group Indicator can be Adult Male or Adult female, for Composition Group Married, Composition Group Indicator can be 1 Male and 1 Female occupant with the same surname.
Tenure Class	This attribute describes whether a majority of households in a segment live in homes that are owned or homes that are rented. In order to do this analysis, household table in RA, should support Home owner and Renter attributes.
Consumer Attributes
Consumer Age Range	This attribute indicates the Age Range for a consumer. This demographic composition can indicate how consumers spend their money. Possible values for Age Range can be "Generation Y", "Generation X", "Younger Boomer", "Older Boomer", "Empty Nester", "Seniors".
Consumer Income Range	This attribute indicates a consumer's income range. This demographic composition can indicate the consumer's propensity to spend the money.
Consumer Gender	This attribute indicates a consumer's gender.
Consumer Ethnicity	This attribute indicates a consumer's ethnicity.
Consumer Nationality	This attribute indicates the nationality of a consumer.
Educational Background	This attribute indicates the educational background of a consumer.
Consumer Occupation	This attribute indicates the occupation of a consumer.
Consumer Region	This attribute indicates the region where a consumer lives.
Consumer Religion	This attribute indicates a consumer's religion.
Consumer Distribution
Allocation Type	This attribute indicates whether the distribution for a department and store is applicable for customer segment or consumer segment.
Consumer Segment
Family Size	This attribute indicates the family size for a demographics based segment.
Consumer Segment Name	This attribute indicates the name of the consumer segment.
Consumer Segment Type	This attribute indicates the type of the consumer segment.
Employment Class	Employment Class collapses a broad range of occupational classes to six categories: Management (Mgmt), Professional (Prof), White Collar, Blue Collar (BC), Service, and Mostly Retired. Employment is classified primarily using the distribution of occupational categories for each segment, supplemented by the index scores.

Organization

The Organization dimension mirrors the structure of the retail company, allowing analysis at every level of the organization. Assessing the contribution of a child attribute to its parent attributes (for example, location to region or chain) allows an analyst to identify the segments of the larger organization that are performing as planned, and those where performance is below expectations. In addition, the Organization hierarchy makes it possible to analyze sales by channel and perform comparable stores analysis.

The majority of business measurements in Retail Analytics reference data by attributes of the Organization dimension. Sales and profit, markdowns, stock position, and most other data is held by location, the lowest-level attribute in the Organization dimension hierarchy.

The following diagram illustrates an example organization hierarchy.

Organization starts at company level, with chain, area, region, district, and store at the lower levels of the hierarchy. A warehouse is a physical storage and distribution facility where inventory may be received, held, and transferred to other locations such as stores. A warehouse can be attached to any level of the organizational hierarchy for reporting purposes, but this is not a requirement.

Sets of Books

Multinational retailers need to maintain multiple sets of books in their financial systems. This need can be driven by a number of different factors such as the following:

• A company divided into different legal entities (such as brands)

• A company having operations in different countries (with different currencies and calendars)

When a company operates with multiple sets of books, they may have different physical instances of their business and accounting systems to support this segregation, or they may use a single physical instance of their systems to support the different sets of books. When operating with multiple sets of books in a single installation, a company partitions its general ledger according to the sets of books. Each set of books has its own chart of accounts and other identifying characteristics, such as the primary currency and accounting calendar. The company may also partition other data along these lines to help segregate data more efficiently. Sets of books can segregate structural data as well as the chart of accounts.

Wholesale

Wholesale functionality, that is, the selling and distribution of products to independently owned customers in a business-to-business transaction, is a market need for many retailers. In contrast to franchise locations, wholesale customers are not owned or licensed by the retailer. Oracle Retail Analytics allows retailers who do a significant amount of wholesale business to perform analysis separately from the rest of their regular retail business, with attributes and metrics that are specific to the wholesale business. This enables focused analysis by a retailer who has more than one distinct line of business (retail and wholesale) that have different performance indicators and metrics.

Wholesale Customer Attributes

Table 5-7 lists the attributes of the Wholesale Customer dimension.

Table 5-7 Wholesale Customer Dimension Attributes

Attribute	Definition
DUNS Number	The DUNS number is a nine-digit number assigned to each business location that has a unique, separate, and distinct operation.
Organization Size Code	This attribute is the organization size code.
Competitor Flag	This attribute indicates the organization is a competitor.
Partner Flag	This attribute indicates the organization is a partner.
Prospect Flag	This attribute indicates the organization is a prospect.
Supplier Flag	This attribute indicates the organization is a supplier.
Sales Account Flag	This attribute indicates the organization has a sales account with the retailer.
Sales Ref Flag	This attribute indicates that sales exist for this organization.
Existing Sales Account Flag	This attribute indicates the organization has an existing sales account.
Sales Account Type Code	This field indicates the type of sales account.
Internet home page	This is the URL for the organization's home page.
Customer Since Date	This is the date the organization became a customer.
Customer End Date	This is the date the organization's customer relationship ended. It could be something like the end of the latest sales contract that was not renewed.
Customer Category Code	This field indicates to which category the customer belongs.
Line of Business	Line of business.
SIC Code	This is the Standard Industry Classification code, a four-digit code used by the US government for classifying industries.
SIC Name	Standard Industry Classification name.
Govt ID Type	Government ID Type
Govt ID Value	Government ID Value
Service Provider Flag	This attribute indicates the organization is a service provider.
Potential Sales Volume	This is the potential sales volume of the organization. This should be a range of volume amounts. For example [0-500,000], [500,000-1,000,000] and [1,000,000+].
Annual Revenue	This is the organization's annual revenue amount.
Supplier ID	This is the supplier ID if the organization is a supplier.
Customer Number	This is the internal customer number assigned to the organization.
Primary Contact Name	This is the primary contact name for the organization.
Primary Contact Phone Number	This is the primary phone number for the organization.
Base Currency Code	This is the base currency code of the organization.

Stockholding Franchise Locations

Franchising is the sales and distribution of products to customers who license a retailer's trade name or services, or both, for a fee. Example services provided could include assortment planning, ordering, and store inventory management. A franchise leases the name of the operating retailer but is not owned by them; however in many situations a retailer manages its franchise stores very similarly to how it manages its own corporate stores, including managing its inventory. In such a situation retailers should create stockholding franchise locations as a way to manage their inventory. Because stockholding franchise locations and corporate locations function similarly, Oracle Retail Analytics enables retailers to analyze them similarly while retaining the ability to segregate sales at franchise locations from sales at corporate locations.

Non-Stockholding Franchise Locations

If a retailer does not wish to manage the inventory of its franchise locations, those locations can be set up as non stock holding franchise locations and analyzed accordingly. The retailer will retain the ability to analyze franchise sales separately from sales at corporate locations.

Organization Attributes

Table 5-8 lists the attributes of the Organization dimension.

Table 5-8 Organization Dimension Attributes

Attribute	Definition
Company	Name of a company. Company is the highest attribute within the Organization hierarchy. A company consists of one or more chains.
Company Number	Unique ID from the source system that identifies a company.
Chain	Name of a chain. A chain consists of one or more areas.
Chain Number	Unique ID from the source system that identifies a chain.
Chain Mgr	Name of a chain manager.
Area	Name of an area. An area consists of one or more regions.
Area Number	Unique ID from the source system that identifies an area.
Area Mgr	Name of an area manager.
Region	Name of a region.
Region Number	Unique ID from the source system that identifies a region.
Region Mgr	Name of a region manager.
District	Name of a district. A district consists of one or more locations.
District Number	Unique ID from the source system that identifies a district.
District Mgr	Name of a district manager.
Loc	Lowest attribute within the organization hierarchy. It identifies a warehouse, store, or partner within the company.
Loc Number	Unique ID from the source system that identifies a location.
Loc List	Name of a location list. A location list is an intentional grouping of locations for reporting purposes.
Loc List ID	Unique ID from the source system that identifies a location list. A location list is an intentional grouping of locations for reporting purposes.
Loc Trait	Name of a location trait. A location trait is an attribute of a location that is used to group locations with similar characteristics.
Loc Trait ID	Unique ID from the source system that identifies a location trait. A location trait is an attribute of a location that is used to group locations with similar characteristics.
Tsf Entity ID	Unique ID from the source system that identifies a transfer entity. A transfer entity is a group of locations that share legal requirements around product management. A location can belong to only one transfer entity, and a transfer entity can belong to multiple organization units.
Org Unit ID	Unique ID from the source system that identifies a financial organization unit. An organization unit can belong to only one set of books.
SOB ID	Unique ID from the source system that identifies a financial set of books. A set of books represents an organizational structure that groups locations based on how they are reported from an accounting perspective.
Tsf Entity Desc	Detailed description of a transfer entity. A transfer entity is a group of locations that share legal requirements around product management. A location can be associated with only one transfer entity, and a transfer entity can be associated with multiple organization units.
Comp Flag	Indicator of whether a location has been opened for configurable time, with values of ”Y” for yes and ”N” for no. Generally, comparable stores are locations that are in operation for at least 53 weeks.
Store Type	Indicator of the type of store, with values of ”Company,” ”Wholesale,” and ”Franchise.”
Address Type	Type of address. Values are as follows: 01 – Business 02 – Postal 03 – Returns 04 – Order 05 – Invoice 06 – Remittance
Loc Name3	Three-character abbreviation of a location name.
Loc Name10	Ten-character abbreviation of a location name.
Loc Name Secondary	Secondary name of a location.
Address Line 1	First line of street address.
Address Line 2	Second line of street address.
Address Line 3	Third line of street address.
City	City of a location.
Postal Code	Postal code of a location.
Phone Number	Primary phone number of a location.
Loc Type	Type of location, with values of ”Store,” ”Warehouse,” and ”External Finisher.”
Linear Distance	Total merchandisable space of a location. Feet is the unit of measure.
VAT Region ID	Unique ID from the source system that identifies the Value Added Tax (VAT) region in which a store is located.
VAT Included Flag	Indicator of whether Value Added Tax (VAT) is included in the retail price, with values of ”Y” for yes and ”N” for no.
Currency Code	Base currency code of the organization.
Break Pack Flag	Indicator of whether a warehouse is capable of distributing less than the supplier's case quantity, with values of ”Y” for yes and ”N” for no.
Stockholding Flag	Indicator of whether a location can hold stock, with values of ”Y” for yes and ”N” for no. In a non-multichannel environment, the value is always "Y".
Loc Mgr	Name of the manager of the organization.
Mall	Name of the mall in which a store is located.
Loc Open Date	Open date of a location.
Loc Close Date	Close date of a location.
Selling Area	Total square footage of a store's selling area.
Remodel Date	Date that a location was last remodeled.
Tsf Zone ID	Unique ID from the source system that identifies a transfer zone. A transfer zone is an intentional grouping of locations for transferring owned inventory from one location to another. A location can belong to only one transfer zone.
Promo Zone ID	Unique ID from the source system that identifies a promotion zone. A promotion zone is an intentional grouping of locations for promotion activity. A location can belong to only one promotion zone.
Total Area	Total square footage of a location.
Default WH ID	Warehouse that can be used as the default for creating cross-dock masks. This determines which stores may be sourced by a warehouse, and it only contains virtual warehouses in a multichannel environment.
Store Format Desc	Description of a store format. Examples are Conventional Store, Supermarket, Virtual Store, Catalog Store, and Hard Discount.
Store Format ID	Unique ID from the source system that identifies a store format.
State	State name of a location.
Country	Country name of a location.
Banner ID	Unique ID from the source system that identifies a banner. A banner is the name of a retailer's subsidiary.
Banner	Name of a banner. A banner is the name of a retailer's subsidiary.
Channel	Name of a channel. A channel is a method for a retailer to interact with a customer, and it is an outlet for sale and delivery of goods and services to the customer. A retailer can have multiple outlets, such as brick-and-mortar stores, Web sites, and catalogs.
Channel ID	Unique identifier associated with a channel.
Channel Type	Type of channel to interact with a customer. The values are ”Brick and Mortar,” ”Webstore,” and ”Catalog.”
Virtual WH Flag	Indicator of whether a location is a virtual warehouse, with values of ”Y” for yes and ”N” for no.
Physical WH ID	Unique ID from the source system that identifies a physical warehouse that is assigned to a virtual warehouse.
State Code	Code that identifies the state of the location.
Sister Store ID	Location that will be used to relate a current store to the historical data of an existing store.
Store Class	Type of store class, which retailers can use to group their stores. The best stores are typically considered ”A” stores, the next-best ”B” stores, and so on. Values can be ”A,” ”B,” ”C,” ”D,””E,” and ”X”.

Product

The Product dimension represents the product lines that the company sells. The Product dimension is essential to the department manager who needs to know which items turn the highest profit, or how an item performs within the market as a whole. Because of its importance for analysis in the retail environment, attributes from the Product dimension are present in nearly every data mart in Retail Analytics. In most cases, data is kept at the lowest level in the hierarchy (item), to allow maximum flexibility and detail in reporting.

The following diagram illustrates an example product hierarchy.

Product Differentiators

Differentiators are used to define the characteristics of an item. Characteristics such as size, color, flavor, scent, and pattern are attached to items as differentiators within Oracle Retail Merchandising System (RMS). Differentiators hold all item differentiator identifiers, along with their associated National Retail Federation (NRF) industry codes.

Oracle Retail Analytics comes with the following differentiators as an example for reference:

• Style (Color only)

• Color for Style

They are arranged in the following hierarchy: Style (Color only) > Color for Style > Item.

These are just an example and can be added to or modified as needed to make them relevant to a specific retail business.

Product Attributes

Table 5-9 lists the attributes of the Product dimension:

Table 5-9 Product Dimension Attributes

Attribute	Definition
Company Number	Unique ID from the source system that identifies a company.
Company	Name of a company. A company consists of one or more divisions.
Division Number	Unique ID from the source system that identifies a division.
Division	Name of a division. A division is the highest category of merchandise within an organization. Typically a division is used to signify the overall category of merchandise, such as hardlines or apparel.
Division Buyer Number	Unique ID from the source system that identifies a division buyer.
Division Buyer	Name of a division buyer, an executive responsible for purchasing merchandise to be sold in a store or retail channel for a particular division.
Division Merchant Number	Unique ID from the source system that identifies a division merchant.
Division Merchant	Name of a division merchant.
Group Number	Unique ID from the source system that identifies a group.
Group	Name of a group. A group is the next level of merchandise in a hierarchy below division. A group consists of one or more departments. A group can belong to only one division.
Group Buyer Number	Unique ID from the source system that identifies a group buyer.
Group Buyer	Name of a group buyer. A group buyer is an executive responsible for purchasing merchandise to be sold in a store or retail channel for a particular group.
Group Merchant Number	Unique ID from the source system that identifies a group merchant.
Group Merchant	Name of a group merchant.
Department Number	Unique ID from the source system that identifies a department.
Department	Name of a department. A department is the next level below group in the merchandise hierarchy. A group can have multiple departments. Key information about how inventory is tracked and reported is stored at the department level.
Department Buyer Number	Unique ID from the source system that identifies a department buyer.
Department Buyer	Name of a department buyer, an executive responsible for purchasing merchandise to be sold in a store or retail channel for a particular department.
Department Merchant Number	Unique ID from the source system that identifies a department merchant.
Department Merchant	Name of a department merchant.
Profit Calc Type	Indicator of the profit calculation type, with values of ”Direct Cost” and ”Retail Inventory”.
Purchase Type	Indicator of the purchase type of merchandise, with values of ”Owned”, ”Consignment”, and ”Concession.”
OTB Calc Type	Indicator of the open–to-buy calculation type, with values of ”Cost” and ”Retail.”
Class Number	ID within a department that uniquely identifies a class.
Class	Name of a class. A class is the next level below department in the merchandise hierarchy. A department can have multiple classes. A class provides the means to group products within a department. A class consists of one or more subclasses.
Class Buyer Number	Unique ID from the source system that identifies a class buyer.
Class Buyer	Name of a class buyer, an executive responsible for purchasing merchandise to be sold in a store or retail channel for a particular class.
Class Merchant Number	Unique ID from the source system that identifies a class merchant.
Class Merchant	Name of a class merchant.
Subclass Number	ID within a department number and class number that uniquely identifies a subclass. A class can have multiple subclasses.
Subclass	Name of a subclass. A subclass defines the type of merchandise sold in a department and class.
Subclass Buyer Number	Unique ID from the source system that identifies a subclass buyer.
Subclass Buyer	Name of a subclass buyer, an executive responsible for purchasing merchandise to be sold in a store or retail channel for a particular subclass.
Subclass Merchant Number	Unique ID from the source system that identifies a subclass merchant.
Subclass Merchant	Name of a subclass merchant.
Item Number	Unique ID from the source system that identifies an item.
Item	Detailed description of an item. Item is the lowest-level attribute within a product hierarchy. Sales and inventory facts are tracked at one of the predetermined levels within the Item attribute.
Pack Sellable Number	Unique code from the source system that identifies a sellable pack. A sellable pack is a collection of items that is sold as a single unit.
Pack Simple Number	Unique code from the source system that identifies a simple pack. A simple pack is a pack in which the component items are the same.
Pack Orderable Number	Unique code from the source system that identifies an orderable pack. An orderable pack is a collection of items that is ordered as a single unit.
Pack Flag	Indicator of whether an item is a pack. A pack item is a collection of items that can be ordered or sold as a single unit.
Package Size	Size of the product printed on packaging.
Package UOM	Unit of measurement in which a package size is measured.
Item Level	Indicator of the level within an item family, with values of 1, 2, and 3.
Transaction Level	Indicator of the level within an item family that inventory is tracked, with values of 1, 2, and 3.
Item Level 1 Number	Item number of the highest level in an item family.
Item Level 1 Desc	Item description of the highest level in an item family.
Item Level 2 Number	Item number of the second level in an item family.
Item Level 2 Desc	Item description of the second level in an item family.
Item Level 3 Number	Item number of the lowest level in an item family.
Item Level 3 Desc	Item description of the lowest level in an item family.
Original Retail	Original retail price of an item per unit and is stored in the primary currency.
Mfg Recommended Retail	Recommended manufacturer's retail price of an item per unit, stored in the primary currency.
Pack Number	Item number where PACK_FLG = Y. A pack item is a collection of items that can be ordered or sold as a single unit.
Pack Item Quantity	Quantity of a pack component item units that make up a pack.
Pack Desc	Item description where PACK_FLG = Y. A pack item is a collection of items that can be ordered or sold as a single unit.
Pack UOM	Standard unit of measurement for a pack item.
Item List ID	Unique ID from the source system that identifies an item list. An item list is an intentional grouping of items for operational purposes.
Item List Desc	Detailed description of an item list. An item list is an intentional grouping of items for operational purposes.
UDA Head ID	Unique ID from the source system that identifies a user-defined attribute of an item. A UDA head is a parent of a UDA detail.
UDA Head Desc	Detailed description of a user-defined attribute of an item. A UDA head is a parent of a UDA detail.
UDA Detail ID	Unique ID from the source system that identifies a user-defined attribute detail of an item. A UDA detail can be a child of only one UDA parent.
UDA Detail Desc	Detailed description of a user-defined attribute detail of an item. A UDA detail can be a child of only one UDA parent.
Diff Type	Indicator of the differentiator type, with example values of ”Size,” ”Color,” ”Flavor,” ”Scent," and ”Pattern.” A differentiator type is a parent of a differentiator.
Diff ID	Unique ID from the source system that identifies an item differentiator. Differentiators define the characteristics of an item. A differentiator can be a child of only one differentiator type.
Diff Desc	Description of an item differentiator. A differentiator can be a child of only one differentiator type.
UOM	Standard unit of measurement for an item.
Item Number Type Code	Indicator of the type of numbering system used to identify an item. Values are as follows: Oracle Retail Item Number UCC12 UCC12 with Supplement UCC8 UCC8 with Supplement EAN/UCC-8 EAN/UCC-13 EAN/UCC-13 with Supplement ISBN-10 ISBN-13 NDC/NHRIC – National Drug Code PLU Variable Weight PLU SSCC Shipper Carton EAN/UCC-14 Manual Custom Item Type
Item Input Flag	Indicator of whether an item holds inventory for an item transformation, with values of ”Y” for yes and ”N” for no.
Merchandise Flag	Indicator of whether an item is merchandise, with values of ”Y” for yes and ”N” for no.
Pack Retail Flag	Indicator of whether a pack has its own unique retail price, or if a pack retail price is the sum of its components' retail prices, with values of ”Y” for yes and ”N” for no.

Table 5-10 Product Split Dimension Attributes

Attribute	Definition
Style	This attribute displays the style of an item.
Color	This attribute displays the color of an item.
Size	This attribute displays the size of an item.
Fabric	This attribute displays the fabric of an item.
Flavor	This attribute displays the flavor of an item.
Scent	This attribute displays the scent of an item.

Promotion

A promotion is an attempt to stimulate the sale of particular merchandise. This can be accomplished by temporarily reducing its price, advertising it, or linking its sale to offers of other merchandise at reduced prices or free. A promotion can take place for many different reasons, such as the desire to attract a certain type of customer, increase sales of a particular class of merchandise, introduce new items, or gain competitive advantage. Tracking of sales and demand by promotion allows retailers to assess the success in attracting customers to purchase items that are placed on promotion.

A single promotion can be part of a larger effort or event. Several promotions can be associated with an event. For example, a summer sale event might consist of multiple promotions.

There are a number of formats in which a promotion can be offered. Some common examples of these formats are as follows:

• Get a specific percent off the price of an item

• Buy a certain quantity of an item and get a certain amount off the total purchase value

• Buy a certain item and get a discount on another item

• Get free shipping and handling

Every promotion has one of the following promotion formats:

• General: Get a percent or amount discount on an item.

• Threshold: Buy a certain quantity or amount of an item and get a percent or amount discount on the item.

• Mix and Match: Buy a certain quantity or amount of item A and get a percent or amount discount on item B.

• Service: Get a percent or amount discount on service charges. (If the promotion format is Service, there is a service type. A service type could be monogramming, gift wrap, personalization, or shipping and handling.)

Typically, a promotion on an item is not applied universally. It might be triggered only for certain stores, for certain media, for certain customer types, or for certain offer coupons. The type of circumstance that triggers a promotion is called the promotion trigger type. In a brick-and-mortal market, a promotion is always triggered by the store. In a direct-to-consumer market, there can be different trigger types such as Source Code, Media Code, Selling Item Code, or Customer Type. One promotion can be triggered by only one promotion trigger type.

Table 5-11 lists the attributes of the Promotion dimension.

Table 5-11 Promotion Dimension Attributes

Attribute	Definition
Promo Event ID	Unique ID from the source system that identifies a promotion event, an event for which one or more promotions are offered.
Promo Event Desc	Description of a promotion event, an intentional grouping of promotion parents.
Promo Event Start Date	Date from which the source record (in the source system) is effective. This represents the start date of a promotion event.
Promo Event End Date	Date until which the source record (in the source system) is effective. This represents the end date of a promotion event.
Promo Event Theme Desc	Description of a promotion event theme that is used to further identify and describe the promotion event.
Promo Parent ID	Unique ID from the source system that identifies a promotion parent. A promotion parent is an intentional grouping of promotion components within a promotion event. A promotion parent is only a child of a single promotion event. Multiple promotion parents within a promotion event can have overlapping timeframes within the promotion event.
Promo Parent Name	Name of a promotion parent. A promotion parent is an intentional grouping of promotion components within a promotion event. A promotion parent is only a child of a single promotion event. Multiple parents within a promotion event can have overlapping timeframes within the promotion event.
Promo Parent Desc	Description of a promotion parent. A promotion parent is an intentional grouping of promotion components within a promotion event. A promotion parent can only be a child of a single promotion event. Multiple parents within a promotion event can have overlapping timeframes within the promotion event.
Promo Parent Start Date	Date from which the source record (in the source system) is effective. This represents the start date of a promotion parent.
Promo Parent End Date	Date until which the source record (in the source system) is effective. The value is extracted from the source system whenever available. This represents the end date of a promotion parent.
Promo Component ID	Unique ID from the source system that identifies a promotion component. A promotion component is an intentional grouping of promotion details within a promotion parent. A promotion component is always a child of a single promotion parent, which is only a child of a single promotion event. Multiple promotion components within a promotion parent can have overlapping timeframes within the promotion parent.
Promo Component Name	Name of a promotion component. A promotion component is an intentional grouping of promotion details within a promotion parent. A promotion component is always a child of a single promotion parent, which is only a child of a single promotion event. Multiple components within a promotion parent can have overlapping timeframes within the promotion parent.
Promo Component Start Date	Date from which the record in the source system is effective. Start date of a promotion component.
Promo Component End Date	Date until which the record in the source system is effective. This represents the end date of a promotion component.
Promo Component Type	Promotion component type that is applied to a promotion component, with the following values: 0 - Multi-buy 1 – Simple 2 – Threshold 6 – Finance A promotion component type is the method to implement a price discount, reward, or credit/financing.

Customer

Knowledge of the customers' preferences and buying behavior allows the retailer to increase sales through up-selling efforts, target customers for promotions, and prevent defection to competitors. In Retail Analytics, customer information and transaction history can be used to segment the customer base by one of several methods. This analysis yields important information about who the best customers are, and the affinity of customer segments to particular products.

Oracle Retail Analytics has the ability to store customer addresses. It does not store sensitive information that could be used to indentify individual customers; however, the data warehouse can be customized to bring in this information if a retailer requires it. Customer address information will be sourced from an external customer management system. Oracle Retail Analytics will provide a Source Independent Load interface to feed customer address along with other customer attributes from the Oracle Retail Analytics staging tables to the customer dimension.

Table 5-12 lists the attributes of the Customer dimension.

Table 5-12 Customer Dimension Attributes

Attribute	Definition
Customer Individual Gender Code	Code for an individual's gender.
Customer Individual Gender	An individual's gender, for example: male, female, not declared.
Customer Individual Marital State Code	Code for an individual's marital state (marital status).
Customer Individual Marital State	An individual's marital state (marital status), for example: single, married, divorced, widowed.
Annual Income	Customer's annual income.
Education Background Code	Code for the education background code of the customer.
Recency Category	Recency category of the customer.
Customer Primary City	Customer primary city of residence.
Customer Primary State Code	Code for customer primary state.
Customer Primary State	Customer primary state.
Customer Primary Postal Code	Customer primary postal code.
Customer Primary Country	Customer primary country.
Address ID	Customer address ID.
Churn Score	Score indicating the likelihood of customer retention.
Customer Status Code	Status code for a customer.
Customer Status Code Description	Status of a customer, for example: potential, first-time, regular.
Education Background	Education background of a customer, for example: bachelor's degree, master's degree).
Ethnicity Code	Code for the ethnicity of the customer, for example: H = Hispanic, G = German, U = Unknown.
Nationality Code	Code for the nationality of the customer.
Customer Type	Type of customer
Nationality	Nationality of the customer.
Occupation Code	Code for the occupation of the customer.
Occupation	Occupation of the customer.
Prospect Flag	Flag to indicate someone who has visited or shopped online, but has not purchased. The retailer may have some information about such prospect customers.
Recency Category Code	Code indicating how recently the customer purchased.
Recency Category	Score indicating how recently the customer purchased.
Frequency Category Code	Code indicating how often a customer purchases.
Frequency Category	Score indicating how often a customer purchases.
Monetary Category Code	Code indicating the monetary value of a customer's purchase.
Monetary Category	Score indicating the monetary value of customer's purchase.
RFM Categories Code	Code indicating the customer's total RFM Score.
RFM Categories	Score indicating the combined recency, frequency, and monetary value of a customer.
Churn Score Range Sort	Sort range for churn score.
Churn Score Range	Range of churn score.
Customer Address Type Code	Code for the type of customer address.
Customer Address Type	Type of address, for example: billing address, delivery address.
Years at Address	Number of years for which the specific address has been in use.
Customer Address Class Code	Code indicating the class of the address.
Customer Address Class	Class of address, for example: residential address, commercial address.
Primary Address Flag	Flag that indicates if the address can be used for all customer communication and reporting purposes.
City	Indicates the City.
State Code	State code.
State	State.
Postal Code	Postal code.
Country	Indicates the Country.
Opt Out Flag	Flag indicating if the address or e-mail address may or may not be marketable.
Customer Birth Month	Customer month of birth.
Customer Birth Year	Customer year of birth.
Age	Indicates the age of customer based on year and month of birth.
Age Range	This demographic attribute for customer represent the range in which his age lies. This attribute will be typically configured by user based on their business needs.
Customer Income Band	Range in which customer's income falls.
Ethnicity Name	Ethnicity of the customer, for example: H = Hispanic, G = German, U = Unknown.
Dwelling Status	The dwelling status classifies all dwellings according to whether they are occupied, unoccupied, or under construction during the time period of the data collection.
Dwelling Size	This attribute lists the floor area for a dwelling unit expressed in the standard unit of measure.
Dwelling Type	This attribute lists the dwelling unit occupied by, or intended for occupancy by, one household. Examples include: detached house, flat, apartment, tenement, trailer park, etc.
Dwelling Tenure	The dwelling tenure attribute refers to the period of the occupancy of a private household in a dwelling. It is expressed in number of years.

Customer Segmentation

Customer segmentation is the process of identifying and classifying customers according to their current and future value to your business. Segmentation identifies your most and least valuable customers based on how frequently and recently customers have purchased, and the monetary value and profitability of their business. You can use this information to establish programs and policies that protect your most valued customers against defecting to a competitor. In addition, segmentation assists the marketing analyst in identifying customers whose purchasing history indicates the potential to become more profitable, as well as those who contribute little value to your business.

Your best customers are those who:

• Have purchased goods or services from you recently

• Purchase from you frequently

• Spend a large amount of money

Table 5-13 lists the attributes of the Customer Segment dimension.

Table 5-13 Customer Segment Dimension Attributes

Attribute	Definition
Customer Segment Name	Name of the customer segment.
Customer Segment Type	Indicates the type of customer segment.
Customer Segment Age Range	This attributes indicates the age group for customer segment. This attribute can be used by marketers devise, and endorse items specifically for the needs and perceptions of age groups.
Customer Segment Gender Code	The code indicating gender of customer segment.
Customer Segment Gender	This attributes defines the gender of customer segment. Gender drives marketing decisions for categories like clothing, hairdressing, magazines and toiletries and cosmetics, and so on.
Customer Segment Family Size	Indicates the Family Size for a demographics based segment.
Customer Segment Generation Code	Generation code for creating demographic segments.
Customer Segment Generation	Generation for creating demographic segments. Possible value can be Baby-boomers, Generation X ans so on.
Customer Segment Annual Income Range	The attribute defines target customer segment income range. Retailers will use this attribute to potentially target affluent customers with luxury goods and convenience services. Low Income range customers may be targeted with every day value or discounted items and services.
Customer Segment Occupation Code	Occupation code to classify customer into occupational categories.
Customer Segment Occupation	Occupation for purposes of segmenting into occupational categories.
Customer Segment Education Background Code	Educational background code to classify customer into different education categories.
Customer Segment Education Background	Educational background to classify customer into different education categories.
Customer Segment Ethnicity Code	The code to identify ethnic groups to find customers with special interests.
Customer Segment Ethnicity	This attribute identifies ethnic groups to find customers with special interests.
Customer Segment Nationality Code	Nationality code for the purpose of demographics based segmentation.
Customer Segment Nationality	This attribute identifies nationality to find customers with special interests.
Customer Segment Religion Code	Religious code for the purpose of demographics based segmentation.
Customer Segment Religion	This attribute identifies religious groups to find customers with special interests.
Customer Segment Social Class Code	Code indicating the status hierarchy by which customer are classified on the basis of esteem and prestige.
Customer Segment Social Class	Status hierarchy by which customer are classified on the basis of esteem and prestige. Values - Upper Class, Upper Middle class, Lower middle class, Upper lower class, lower class.
Customer Segment Family Lifecycle Code	Code indicating the family lifecycle of the segment.
Customer Segment Family Lifecycle	Indicates the family lifecycle of the segment, Examples include: bachelor, married with no children (DINKS: Double Income, No Kids), full-nest, empty-nest, or solitary survivor.
Customer Segment Region Code	Region code for the purpose of geographic based segmentation. Possible value can be continent, country, state, or even neighborhood.
Customer Segment Region	Region value for the purpose of geographic based segmentation. Possible value can be continent, country, state, or even neighborhood.
Customer Segment Metro Area Size	Size of population for creating geographic based customer segments.
Customer Segment Population Density	Population density for creating geographic customer segments, Possible values can be urban, suburban, or rural.
Customer Segment Climate Code	The code indicates the weather patterns.
Customer Segment Climate	This indicates the weather patterns for the purpose of geographic based segmentation.
Customer Segment Benefit Sought Code	Benefits sought code for purposes of segmentation based on benefits sought.
Customer Segment Benefit Sought	The main benefits consumers look for in a product. For example, health, taste, and so on.
Customer Segment Usage Rate	This indicates light, medium and heavy product usage segments.
Customer Segment Readiness To Buy Code	Code indicating the customer segment's buying mindset.
Customer Segment Readiness To Buy	This attribute indicates customer segment's buying mindset.
Customer Segment Occasion Code	Code indicating when segment tends to purchase or consume the product.
Customer Segment Occasion	This attribute indicates when segment tends to purchase or consume the product. It can be holidays and events that stimulate purchases
Customer Segment Activity Code	Activity code based on AIO survey.
Customer Segment Activity	Activity based on AIO survey. This attribute can be used to create Psychographic segments.
Customer Segment Interest Code	Code indicating customer segment's interests.
Customer Segment Interest	Indicates interest based on AIO survey. This attribute can be used to create Psychographic segments.
Customer Segment Opinion Code	Code indicating customer segment's opinions.
Customer Segment Opinion	This attribute indicates (but is not limited to) customer segments political opinions, environmental awareness, sports, arts and cultural issues.
Customer Segment Attitude Code	Code indicating customer segment's attitude.
Customer Segment Attitude	This attribute indicates the customer segment's attitude. This can be used to create Psychographic segments.
Customer Segment Value Code	Code indicating customer segment's value.
Customer Segment Value	This attribute indicates the customer segment's value. This can be used to create Psychographic segments.

Customer Segment Allocation

The customer segment allocation folder under Customer Analytics in Oracle Retail Analytics enables analysis of the association of a retailer's customer segments to its merchandise and organization hierarchies. That association enables the targeting of specific customer segments with promotions by indicating in what locations and what products a customer segment is most likely to purchase. Note that this is purely for dimensional reporting.

For example, if a merchant sees a strong association between customer segment: farmer; subclass: plows; locations: Midwest Region, she will want to ensure that she has an extended assortment of the plows subclass for that Region. That way she is driving sales as well as meeting or exceeding customer expectations.

The Customer Segment Allocation association itself is done by external systems and interfaced to Oracle Retail Analytics. The association level needs to be predefined in the configuration file to determine at what level of the merchandise and organization hierarchy customer segment allocation should be tracked. For example, a retailer could configure association at subclass and store level, or department and region level, or whatever levels are appropriate for their organization. Regardless of what level is chosen during configuration, it is not recommended to drill up or down on those merchandise or organization hierarchy levels during reporting, as that will provide incorrect results.

RFM Analysis

RFM analysis is a database marketing methodology that ranks your customers based on their purchase history. This method employs three criteria for ranking customers according to their value to your company. These criteria are described in the following subsections.

Recency

Recency indicates the amount of time that has elapsed since the customer's last purchase. It is an established principle of marketing that the more recently customers have purchased from you, the more likely they are to make another purchase. Recency is calculated as the number of elapsed days between the last day of the period being analyzed and the date of the last purchase. Customers with the fewest number of days rank in the highest group. Customers with the largest number of days rank in the lowest group.

Frequency

Frequency profiling measures the number of times that a customer has purchased from you since a specified date. The greater the frequency of purchases, the more likely a customer purchases from you in the future. The value is determined for each customer based on a count of the number of days on which transactions occurred for this customer. Customers are rated and placed in segments based on this value.

Monetary

Monetary profiling measures value according to the amount of money a customer has spent in the course of a specified time period. Customers are ranked according to the "total" monetary value of their purchases and assigned to a segment based on this value.

Customer Loyalty

Loyal customers are among the retailer's most precious assets. A loyal customer contributes to your business on a regular basis over an extended period of time and almost always ranks as one of your best customers.

When used in conjunction with RFM analysis, these metrics allow you to assess the importance of various items to your best customers.

In Retail Analytics, customer's loyalty scores are tracked at individual customer as well as customer segment level for various grains of promotion, calendar, style, brand and merchandising hierarchy.

Loyalty attributes indicate the likelihood of purchase of merchandise by a given customer or customer segment for the supported attributes.

Table 5-14 lists the attributes of the Customer Loyalty dimension.

Table 5-14 Customer Loyalty Dimension Attributes

Attribute	Definition
Seg Dept Loyalty Score	Customer Segment's loyalty scores for Department, Location and Day. This score is an indication of customer segment's experience of purchase of products or services.
Seg Dept Loyalty Score by Promo	Customer segment’s loyalty score for Department, Location and Day by Promotion Component Type. This score is an indication of customer segment's experience of purchase of products or services.
Seg Class Loyalty Score	Customer segment’s loyalty score for Class, Location and Day. This score is an indication of customer segment's experience of purchase of products or services.
Seg Class Loyalty Score by Promo	Customer segment’s loyalty score for Class, Location and Day by Promotion Component Type. This score is an indication of customer segment's experience of purchase of products or services.
Seg Subclass Loyalty Score	Customer segment ’s loyalty score for Subclass, Location and Day. This score is an indication of customer segment's experience of purchase of products or services.
Seg Subclass Loyalty Score by Promo	Customer segment’s loyalty score for Subclass, Location and Day by Promotion Component Type. This score is an indication of customer segment's experience of purchase of products or services.
Seg Style Brand Loyalty Score	Customer segment’s loyalty score for Style, Brand, Location and Day. This score is an indication of customer segment's experience of purchase of products or services.
Seg Style Brand Loyalty Score by Promo	Customer segment’s loyalty score for Style, Brand, Location and Day by Promotion Component Type. This score is an indication of customer segment's experience of purchase of products or services.
Cust Dept Business Month Loyalty Score	Customer's loyalty score for Department, Location and Business Month. This score is an indication of customer's experience of purchase of products or services.
Cust Dept Business Month Loyalty Score by Promo	Customer's loyalty score for Department, Location and Business Month by Promotion Component Type. This score is an indication of customer's experience of purchase of products or services.
Cust Class Business Month Loyalty Score	Customer's loyalty score for Class, Location and Business Month. This score is an indication of customer's experience of purchase of products or services.
Cust Class Business Month Loyalty Score by Promo	Customer's loyalty score for Class, Location and Business Month by Promotion Component Type. This score is an indication of customer's experience of purchase of products or services.
Cust Style Business Month Brand Loyalty Score	Customer's loyalty score for Style, Brand, Location and Business Month. This score is an indication of customer's experience of purchase of products or services.
Cust Style Business Month Brand Loyalty Score by Promo	Customer's loyalty score for Style, Brand, Location and Business Month by Promotion Component Type. This score is an indication of customer's experience of purchase of products or services.
Cust Dept Greg Month Loyalty Score	Customer's loyalty score for Department, Location and Gregorian Month. This score is an indication of customer's experience of purchase of products or services.
Cust Dept Greg Month Loyalty Score by Promo	Customer's loyalty score for Department, Location and Gregorian Month by Promotion Component Type. This score is an indication of customer's experience of purchase of products or services.
Cust Class Greg Month Loyalty Score	Customer's loyalty score for Class, Location and Gregorian Month. This score is an indication of customer's experience of purchase of products or services.
Cust Class Greg Month Loyalty Score by Promo	Customer's loyalty score for Class, Location and Gregorian Month by Promotion Component Type. This score is an indication of customer's experience of purchase of products or services.
Cust Style Greg Month Brand Loyalty Score	Customer's loyalty score for Style, Brand, Location and Gregorian Month. This score is an indication of customer's experience of purchase of products or services.
Cust Style Greg Month Brand Loyalty Score by Promo	Customer's loyalty score for Style, Brand, Location and Gregorian Month by Promotion Component Type. This score is an indication of customer's experience of purchase of products or services.

Household

Table 5-15 lists the Customer Household attributes supported by Retail Analytics.

Table 5-15 Customer Household Attributes

Attribute	Definition
Household Income	Indicates the household income.
Household Class Id	Code for household class.
Household Class	Household class for a customer. Possible values are Nuclear/Joint/Single Parent, Double Income/Single Income.

Supplier

A supplier is a company that supplies goods or a service to another company. In the retail industry, the supplier supplies the retailer with goods, and the retailer sells those goods to customers. The same item can be supplied by multiple suppliers. As a result, a primary supplier is assigned to an item. When reporting by supplier, all items that are sold are attributed to the primary supplier.

Retail Analytics supports multiple supplier sites for each supplier. A supplier site is the location from which the supplier ships merchandise. Terms and conditions can be defined at the supplier site level.

The attributes in the Supplier dimension allow the business analyst to rate supplier performance based on delivery history and the quality of products. This information can be used to identify suppliers whose performance is below standard, as well as those who are in compliance with expectations.

The following is the hierarchy of the Supplier dimension.

Table 5-16 lists the attributes of the Supplier dimension.

Table 5-16 Supplier Dimension Attributes

Attribute	Definition
Supplier Number	Unique ID from the source system that identifies a supplier.
Supplier	Trading name of a supplier.
Supplier Parent	Supplier level. For a supplier site, this value contains the parent supplier number. Sites represent physical locations from which suppliers ship. A null value indicates that this is a supplier.
QC Flag	Indicator of whether orders from a supplier require quality control, with values of ”Y” for yes (unless overridden by the user when the order is created) and ”N” for no, indicating that no quality control is required for this supplier unless indicated by the user during order creation. Quality control for suppliers involves checking the quality of the merchandise received (for example, damaged or over-ripened) and whether received shipments contain the quantity on the receiving label.
VMI Status	Status with which vendor-managed inventory (VMI) purchase orders are created, with values of ”A” for approved and ”W” for worksheet. A null value indicates that the supplier is not a VMI supplier. A VMI supplier does inventory planning for the retailer. A VMI supplier is also responsible for replenishing and reordering the retailer's supply.
Pre Mark Flag	Indicator of whether a supplier's premarked inventory is in separate containers for cross-dock shipping to stores, with values of ”Y” for yes and ”N” for no.
EDI Flag	Indicator of whether a supplier electronically sends advance shipping notices (ASN), with values of ”Y” for yes and ”N” for no.
Intl Currency Flag	Indicator of whether a supplier operates in the same currency as the retailer's primary currency, with values of ”Y” for yes and ”N” for no.
Currency Code	Code of the currency that a supplier uses for business transactions.
Supplier Status	Indicator of whether supplier is currently active, with values of ”A” for active and ”I” for inactive.
Supplier Start Date	Date the supplier record was first inserted into the data warehouse.
Supplier End Date	Date the supplier was deleted from the source system.
Currency Description	Description of the currency that a supplier uses for business transactions.
Supplier Name 2	Secondary name of a supplier.
Primary Flag	Indicator of whether the supplier is the primary supplier for the item, with values of ”Y” for yes and ”N” for no. Each item has only one primary supplier. This field does not apply to sub-transaction-level items.
Pack Size	Number of items in a pack. Orders for the item must be placed in multiples of this quantity.
In Order Qty	Minimum quantity of the item that can be ordered at one time.
Max Order Qty	Maximum quantity of the item that can be ordered at one time.
Lead Time	Number of days needed between the date an order for an item is written and the delivery from the supplier to the store or warehouse.
Pickup Lead Time	Number of days needed between the date an item leaves a supplier and the delivery to an initial receiving location.
Inner Pack Size	Break pack size for an item. A break pack is a pack within a larger container.
Supplier Trait ID	Unique ID from the source system that identifies a supplier trait. A supplier trait is an attribute of a supplier, used to group suppliers with similar characteristics.
Supplier Trait Desc	Description of a supplier trait. A supplier trait is an attribute of a supplier, used to group suppliers with similar characteristics.
VPN	Vendor product number (VPN) associated with this item.

Note: Supplier attributes are currently not supported in As-Is subject area in the Customer reporting area.

Retail Type

The Retail Type attribute represents the price type at which items were sold or held as inventory. There are four values for Retail Type:

• Regular

• Promotional

• Clearance

• Intercompany

This attribute segments a number of business measurements by price type, including sales and profit, stock position and value, markdowns, markups, and competitor pricing. This information is valuable when determining a pricing strategy, analyzing inventory value, or evaluating a competitor.

Table 5-17 describes the Retail Type attribute.

Table 5-17 Retail Type Attribute

Attribute	Definition
Retail Type	Price type of an item. Values are as follows: R - Regular P - Promotion C - Clearance I - Intercompany If an item is on promotion and clearance at the same time, the retail type is ”C”.

Product Season

Product season functionality allows you to categorize each item according to different seasons, and phases within seasons. For example, you can assign a season of "Spring" to a group of items, according to the supplier's deliveries of fashion items. Those relationships can be further broken down into the phases, such as "Spring I" and "Spring II." These item-season relationships are then loaded into Retail Analytics. You can query sales and inventory data, for example, based on all items in the spring season.

Note: On a given day, an item can belong to more than one season and more than one phase within a season. Seasonality is designed to group by item/location/day to avoid double-counting.

The following is the hierarchy of the Product Season dimension.

Table 5-18 lists the attributes of the Product Season dimension.

Table 5-18 Product Season Dimension Attributes

Attribute	Definition
Season ID	Unique ID from the source system that identifies a season. A season is a designated timeframe that may or may not correspond with the Gregorian or business/fiscal calendars.
Season Desc	Description of a season. A season is a designated timeframe that may or may not correspond with the Gregorian or business/fiscal calendars.
Season Start Date	Date from which the source record (in the source system) is effective. This represents the start date of a season.
Season End Date	Date until which the source record (in the source system) is effective. This represents the end date of a season.
Phase ID	Unique ID from the source system that identifies a phase. A phase is a designated timeframe that may or may not correspond with the Gregorian or business/fiscal calendars; however, it falls within a season and is always a child of a single season. Multiple phases within a season may have overlapping timeframes within the season.
Phase Desc	Description of a season phase. A phase is a designated timeframe that may or may not correspond with the Gregorian or business/fiscal calendars; however, it falls within a season and is always a child of a single season. Multiple phases within a season may have overlapping timeframes within the season.
Phase Start Date	Date from which the source record (in the source system) is effective. This represents the start date of a phase.
Phase End Date	Date until which the source record (in the source system) is effective. This represents the end date of a phase.

Trade Area

A trade area is the geographic area serviced by a retail store or proposed retail store. A trade area is defined by whether a consumer shops at the store, and a retailer may have multiple trade areas for the site (primary, secondary, tertiary). Trade areas should be defined in such a way that retailers can determine the demographic, psychographic, or population data for the geography served by the store. This data is pulled from market area data, which is usually based on census blocks in the U.S. The trade area provides a mechanism to map market area data to a specific store because the census blocks (or other method used to store market area data) do not correlate directly to the geographic area served by a store. Examples of ways to define a trade area include using traffic flow studies, a retail gravity model, a zip code method, or commuting data.

Table 5-19 Trade Area Dimension Attributes

Attribute	Definition
Trade Area Name	Indicates the name of the trade area
Trade Area Description	This attribute provides a description of the trade area.
Trade Area Type	This attribute describes the type of trade area. Valid values could include Urban, Suburban, Rural, and others.
Pull factor	Pull factors are ratios that estimate the proportion of local sales that occurs in a town.
Commuter population	Number of people who commute in this trade area.
Peak Season Population	The number of people in the Trade Area during peak 'population' season. This is common in Trade Areas with high tourist population ebb and flow.
Tourist Population	The number of people that are tourists in a Trade Area.
State Population	The number of people in the state that the Trade Area resides.
Number of Households	The number of households within a trade area.
Average Family Size	The average number of people within a household that reside in a trade area.
Per Capita Income	The income divided by the total population of a Trade Area.
Avg Num of Vehicles	Average number of vehicles per household in this trade area.
Average Drive Time	This attribute indicates the average time in minutes consumers must drive from their homes to shop.

Reclassification

Reclassification occurs when any entity in a dimension changes its place in the dimension hierarchy, or when one or more attributes of an entity are changed. Reclassification affects Retail Analytics reporting, whether you are using as-is, as-was, or point in time analysis. See "Analysis Methods" in Chapter 4, "Creating and Modifying Reports" for more information.

Major Reclassification and Lower-Level Dimensions

A major change occurs whenever an entity changes its place in the product hierarchy (group, department, and item can be reclassified) or in the organization hierarchy (area, region, district, and location can be reclassified). This type of reclassification alters the relationship among entities in a hierarchy.

For example, a single item (white shirt) might be reclassified from the Dress to the Casual subclass.

Only the Product and Organization dimensions can undergo major changes, and they are referred to as lower-level dimensions. They are dimensions with major changeable lower levels. Because Product and Organization are aggregating dimensions, a major change results in an altered data aggregation within their hierarchies.

The history of an entity before and after the major change can be tracked and compared. For example, an item can be moved from one subclass to another within its product hierarchy of department and class. While there are many good reasons for a retailer to move, or reclassify, an item in this way, Retail Analytics still needs to track sales for that item from its new location in the product hierarchy, both before and after the change.

Retail Analytics handles major changes by assigning the reclassified item (to use the same example) a new surrogate key. The surrogate key, along with the dimension's identifier, allow a means to track the dimension, and all transactions related to it, at any point in time.

Minor Changes and Top-Level Dimensions

A minor change means that an attribute of an entity is changed, but its position in the hierarchy remains the same. The dimensions that can only undergo minor changes are known as top level dimensions and consist of every dimension except organization and product. The levels of the top level dimensions cannot be reclassified; they are static.

Product and organization dimensions can undergo minor changes, but minor changes are not significant enough to alter their hierarchies.

For example, a description of a subclass might be changed from ”Humorous Cards” to ”Funny Cards.”

This type of change does not alter the relationship of a subclass to any other level of the hierarchy above or below it. The record is simply updated to reflect the description change; a new surrogate key does not need to be inserted. Minor change dimension processing in Retail Analytics is less complex than major change processing.

Customer Order

Oracle Retail Analytics' customer order functionality allows retailers to analyze transactions that cross multiple channels, and enables analysis of Oracle's Commerce Anywhere capabilities. It has two dimensions: customer order demand and customer order fulfillment.

For most retailers, effective customer order management has become critical as customers no longer shop only in brick and mortar stores, but expect the ability to interact with retailers across a variety of channels. A customer order is an agreement between the retailer and the customer in which the customer pays for an item and the retailer agrees to make the item available for pickup or delivery at a later date. It consists of two parts, demand and fulfillment. Demand involves facilitating the capturing of customer orders via an e-commerce site, a mobile device, an in-store kiosk or any other similar method. The order fulfillment process, in which the customer takes possession of the product, must be properly managed across those channels to avoid jeopardizing relationships with valued customers who want a seamless experience. An order management system, such as DOO (Distributed Order Orchestration) and GOP (Global Order Promising), is used to manage the order throughout its lifecycle. When an order is initially taken, this application will determine where the order should be sourced based on customer preferences and rules related to fulfillment options set by a retailer (e.g. cost, lead times). Oracle Retail Analytics provides a comprehensive set of metrics to help retailers achieve customer satisfaction. Included are key performance measurements for customer order demand and customer order fulfillment.

Oracle Retail Analytics' customer order dimension supports a number of different attributes of a customer order to allow performance analysis of retailer's business across all channels. A complete list of these attributes and their descriptions is in the following sections. These attributes allow a user to slice and dice customer order data for analyses by order delivery information, order status, and other customer order details.

For example, if an item in an order line is sold as a substitute for another item (perhaps the original item is unavailable), then both the original item and the substitute item will be identified as such. These attributes can be used to analyze the demand for the original item the customer wanted and the alternative items that were actually ordered and delivered.

Order status is also captured so that retailers can track the order lifecycle and analyze orders based on whether they are backordered, complete, canceled, etc. to discover potential issues involved with customer satisfaction that excessive backorders or cancellations might indicate. A large amount of canceled orders, for instance, could mean there is a group of upset customers who are returning items with which they are unsatisfied or for which delivery time was too late to be acceptable.

Finally, a retailer can identify how an order was shipped, through the requested shipment type and requested shipment method attributes, which identify the carrier and the service type being used to fulfill the order. This could be used in conjunction with the order status analysis to determine if customer dissatisfaction correlates to a specific shipment type or method.

Note: When using Customer Order Promotion Transaction, Customer Order Transaction, Customer Order Status, and Customer Order Fulfillment dimensions, Salesperson and/or Cashier attributes should be used to represent an employee. Employee Name should not be used with these facts.

Table 5-20 Customer Order Demand Attributes

Attribute	Definition
CO Header Demand Status	This attribute provides the status of the customer order header, which could be unique to the retailer's order management system. Using this attribute a user can identify the status of customer order. Some of the statuses could be "Order Initiate", "Back-ordered", "Partial Picked", "Picked", "Partial Shipped", "Shipped", "Completed" and "Cancelled".
CO Line Demand Status	This attribute provides the status of the customer order line, which could be unique to the retailer's order management system.
Sales Person	This attribute lists the retailer's sales person who was responsible for the transaction and was credited with originating the sale.
Cashier	This attribute lists the employee who processed the sales transaction by receiving the tender from customer.
Customer Service Representative	This attribute lists the employee who helped the customer with any questions or sold them value-added services (re-packaging, gift packing, gift cards, etc).
Origin Demand Channel	This attribute lists the location deemed the point of origin for the customer order. There are several channels, such as call center, website, SMS advertisement, store cashier, and sales person that could be considered the Origin Demand Channel.
Submit Demand Channel	The location deemed the generation of demand or point of submission for the customer order. There are several channels, such as customer service center, website, kiosk at store, and store POS system that could be considered the submit demand channel. The origin demand channel and submit demand channel may or may not be the same for a customer order.
CO Header Number	Each customer order has header information that is primarily customer-related, pertains to the entire order, and is uniquely identified by a Customer Order header number. Header information also contains information about the conditions that affect how the system processes an order, such as fulfillment type, fulfillment method and delivery dates. Most of the remaining header information consists of default values from the Address Book, Customer Billing Instructions, and Customer Master, such as tax code and area, and shipping address information.
CO Line Number	The customer order line number is used to uniquely identify the customer order line information, which includes detailed information about the items on the order, such as quantities, prices, status, and shipped quantities. It also contains the customer order header number to identify the order to which the line belongs.
Requested Shipment Type	This attribute provides the type of requested shipment for the customer order line. Some shipment types could be "Direct Ship to Customer", "Store Pickup", etc.
Requested Shipment Method	Requested Shipment Method is more granular information about the Requested Shipment Type attribute. It defines the method of shipping to the customer. If the shipment type is "direct ship to cust" the method might be "overnight" or "ground". If the shipment type is "Store Pickup" the method would refer to how the goods were made available at the store, such as "WH-to-Store transfer", or "Stock from Store", etc.
CO Line Original Item	If an item is not available it may be replaced with a substitute item. In that case Oracle Retail Analytics stores the original item as the CO Line Original Item attribute.
CO Line Substitute Item	If a customer orders an item that is not available, a retailer may decide to substitute a similar item that is available to be shipped immediately. This attribute displays the substitute item.
CO Retail Type	This attribute displays the price type that was recorded for the line item. The possible values could be R-Regular, P-Promotion, and C-Clearance.
CO Cancel Reason	This attribute is the reason given by the customer for canceling an order. Examples could be "Backorder Abandon," "Late Delivery," etc.

Table 5-21 Customer Order Fulfillment Organization Dimension Attributes

Attribute	Definition
Fulfillment Company Number	This attribute displays the unique ID from the source system that identifies a fulfillment company.
Fulfillment Company	Name of a fulfillment company. Fulfillment Company is the highest attribute within the fulfillment Organization hierarchy. A fulfillment company consists of one or more fulfillment chains.
Fulfillment Chain Number	This attribute displays the unique ID from the source system that identifies a fulfillment chain.
Fulfillment Chain	This attribute displays the name of a fulfillment chain. A fulfillment chain consists of one or more areas.
Fulfillment Area Number	This attribute displays the unique ID from the source system that identifies a fulfillment area.
Fulfillment Area	This attribute displays the name of a fulfillment area. A fulfillment area consists of one or more regions.
Fulfillment Region Number	This attribute displays the unique ID from the source system that identifies a fulfillment region.
Fulfillment Region	This attribute displays the name of a fulfillment region. A fulfillment region consists of one or more districts.
Fulfillment District Number	This attribute displays the name of the unique ID from the source system that identifies a fulfillment district.
Fulfillment District	This attribute displays the name of a fulfillment district. A fulfillment district consists of one or more locations.
Fulfillment Location Number	This attribute displays the unique ID from the source system that identifies a fulfillment location.
Fulfillment Location	This attribute displays the lowest level within the fulfillment organization hierarchy. It identifies a fulfillment warehouse, fulfillment store, or partner within the fulfillment company.
Fulfillment Channel ID	The ID of channel in which a customer order is fulfilled.
Fulfillment Channel	The channel in which a customer order is fulfilled.

Table 5-22 Customer Order Tender Attributes

Attribute	Definition
Sales Transaction Number	This attribute displays a unique number through which the sales transaction can be identified. The transaction number is used to add detailed information about the item sales on the transaction, such as quantities, prices, discounts and tender amounts.
Tender Type	The form of payment made for a customer order sales transaction. Examples of tender types include cash, credit card, or gift card.
Transaction Type	This attribute differentiates cross channel liability transactions from normal sales, return transactions, and wholesale sales and return transactions. This is an internally generated attribute used by Oracle Retail Analytics.

Reason

The Reason dimension makes it possible to track why a particular action was taken in the areas of inventory adjustment and sales. Return reasons such as "wrong item shipped" or "defective" are tracked by Return Reason. Inventory adjustments are tracked by Inv Adjustment Reason. The Reason attributes do not form a drillable hierarchy.

Table 5-23 Reason Attributes

Attribute	Definition
Reason Code	To identify the reason why a particular action had performed depending on the subject area used (For example: Inv Adjustments, Return to Vendor, cost change, price change etc.)
Reason Description	A detailed description of the reason why a particular action had performed depending on the subject area used (For example: Inv Adjustments, Return to Vendor, cost change, price change etc.)
Status Code	To identify the status of the element depending on the subject area used. (For example: Inv Status, Customer order status etc.)
Status Description	A detailed description of the status depending on the subject area used. (For example: Inv Status, Customer order status etc.)
Status Class	This Attribute can be used to identify the different functional areas that status is used for. (For example: Inv Status, Customer order status etc.)
Reason Category	This attribute gives the category of reason for different functionalities (For example: Inventory Adjustment, RTV etc.)

Inventory Transfer

Inventory Transfers are stock movements between a retailer's locations. Inventory Transfers analysis will enable retailers to improve sales and avoid out of stocks by moving stock to locations where it is most needed. Depending on the transaction codes used in creating Inventory Transfers the transfer type is captured in Retail Analytics as Normal, Book and Inter Company transfer types. Retail Analytics will not support Transfers functionality for Transformable items. Retail Analytics holds the inventory Transfers at item, to location, from location, transfer type and day level.

Table 5-24 Inventory Transfer Attributes

Attribute	Definition
Transfer Type Code	Indicates the code for Transfer Type. This is based on the origin of the transfer request and determines how transfer behaves.
Transfer Type Description	Indicates the description for Transfer Type. This is based on the origin of the transfer request and determines how transfer behaves. Different Transfer Types that are supported are - Normal Transfer, Book Transfer, Inter Company.
Tsf Zone ID	Unique ID from the source system that identifies a transfer zone. A transfer zone is an intentional grouping of locations for transferring owned inventory from one location to another. A location can belong to only one transfer zone.
Tsf Zone Desc	Detailed description of a transfer zone. A transfer zone is an intentional grouping of locations for transferring owned inventory from one location to another. A location can belong to only one transfer zone.
Tsf Entity ID	Unique ID from the source system that identifies a transfer entity. A transfer entity is a group of locations that share legal requirements around product management. A location can belong to only one transfer entity, and a transfer entity can belong to multiple organization units.
Tsf Entity Desc	Detailed description of a transfer entity. A transfer entity is a group of locations that share legal requirements around product management. A location can belong to only one transfer entity, and a transfer entity can belong to multiple organization units.

Transfer from Organization

The Transfer from Organization dimension allows tracking of inventory transfers from a location or other organizational attribute. This permits analysis of the number of units transferred and the retail and cost value of the transfer in the organization.

Table 5-25 Transfer From Organization Attributes

Attribute	Definition
From Chain Number	Chain in the company from which a transfer originates
From Chain	Name of the chain from where the transfer originated.
From Area Number	Area in the chain from which a transfer originates.
From Area	Name of the Area under the chain from which a transfer originates.
From Region Number	Region in the area from which a transfer originates.
From Region	Name of the Region under the area from which a transfer originates.
From District Number	District Number from which a transfer originates.
From District	Name of the District under the region from which a transfer originates.
From Loc Number	Warehouse, store, or partner location number from which a transfer originates.
From Loc	Warehouse, store, or partner location name from which a transfer originates.
From Tsf Entity ID	Transfer entity ID from which a transfer originates.
From Tsf Entity Desc	Transfer entity description from which a transfer originates.
From Tsf Zone ID	Transfer Zone ID from which a transfer originates.
From Tsf Zone Desc	Transfer Zone description from which a transfer originates.

Retail Analytics Attribute Metadata

The following chart provides information about Retail Analytics attribute metadata. Users please be aware that you cannot mix facts across as-is, as-was, and point-in-time subject areas.

Table 5-26 Retail Analytics Attribute Metadata

Merchandising Analytics	Customer Analytics	Attributes	As-Is	As-Was	Point in Time
X		Business Calendar	X	X	X
X		Employee	X	X	X
	X	Cluster	X	X
	X	Consumer Group	X	X
	X	Consumer Household Group	X	X
X		Organization	X	X	X
X		Stockholding Franchise	X	X	X
X		Non-Stockholding Franchise	X	X	X
X		Product	X	X	X
X		Promotion	X	X
	X	Customer	X	X	X
	X	Customer Segment	X	X	X
	X	Customer Segment Allocation	X	X
	X	Household	X	X	X
	X	Customer Segment Loyalty		X
X		Supplier	X	X	X
X		Retail Type	X	X	X
X		Product Season Phase	X	X	X
	X	Trade Area	X
	X	Market Item	X
X		Customer Order	X	X
X		Customer Order Origin Channel	X	X
X		Customer Order Submit Channel	X	X
X		Customer Order Tender Type	X	X
X		Fulfillment Organization	X	X
X		Gregorian Calendar	X	X	X
X		Customer Order Fulfillment	X	X
X		Customer Order Status	X	X
X		Reason	X	X
X		Shipment Method	X	X
X		Shipment Type	X	X
X		Tender Type	X	X
X		Time of the day	X	X	X
X		Return to Vendor	X	X
X		Inventory Adjustments	X	X
X		Inventory Transfers	X	X

Market Item

One of the critical components available with Oracle Retail Analytics reporting is the ability for a retailer to compare its own performance to that of the market. Market Item attributes allow the retailer to make assortment, promotional and space allocation decisions within a wider context. By comparing its own trends to that of the market it is possible to identify and respond to opportunities and problems quickly and effectively.

Table 5-27 Market Item Dimension Attributes

Attribute	Definition
All Store	Represents the highest level of Market Item hierarchy.
Market Dept	Indicates the second level of Market Item hierarchy.
Market Category	The range of products purchased by a business organization or sold by a retailer is broken down into discrete groups of similar or related products; these groups are known as product categories (examples of grocery categories might be: tinned fish, washing detergent, toothpastes).
Market Subcategory	Each market category divides into sub-categories. A pre requisite to defining the sub-categories is that trends behind the categories are known. Subcategory is defined as grouping of common differentiating characteristics within a larger category.
Market Segment	The next level below Market subcategory. Key information about how inventory is tracked and reported is stored at the Market Segment level.
Market Sub-segment	The next level below Market Segment. This is equivalent to Subclass level of Retailer's merchandising hierarchy.
Market Item Description	Description of the item including characteristics of the market item.
Market Item Brand	Displays the brand associated with the market item. This is level 10 of Market Item hierarchy.
Market Sub Brand	A subcomponent of a brand. For example, if a brand were "Super Cola", the subbrand might be "Super Cola Light".
Market Brand Owner	Brand owner for the Item.
Market Brand Owner Number	Brand owner for the Item.
Market Item Flavor	Indicates the flavor of Market Item.
Market Item Pattern	Indicates the pattern of Market Item.
Market Item Scent	Indicates the scent of Market Item.
Market Item Size	Indicates the size of market item.
Market Package Type	The package type defines as the packaging method chosen by the market item. After choosing the packaging type, retailer should specify the dimensions of the item. The following types of packaging types are available Case Pallet Each.
Market Parent Company	The next level below Market Sub-segment. It Indicate the parent company for the given market item hierarchy.
Vendor Name	The name of the vendor who supplies the market item.
Multi Pack	The multi-pack is defined as package of several individual pack items sold as a unit. This can be broken into multiple pack items.
Universal Product Code	Twelve-digit barcode printed or affixed on virtually everything sold in supermarkets or retail stores, including books, magazines, candy, etc., for automatic checking-out at the cashier counter. UPC not only identifies an item, it also provides real time information on quantity sold, and inventory and ordering information.