Enterprise Command Centers

Overview of Enterprise Command Centers

Enterprise Command Centers (ECC) provide information discovery along with visualization and exploration capabilities embedded within Oracle E-Business Suite user interfaces. Oracle Enterprise Command Center Framework enables the creation of business dashboards in different functional areas. Oracle E-Business Suite users navigate transactional information using interactive visual components and guided discovery capabilities allowing exploratory data analysis. Mobility and responsive design are built into the Oracle Enterprise Command Center Framework, and all dashboards automatically adjust the layout to better fit a desktop or mobile device form factor. Oracle Enterprise Command Center Framework automatically adheres to existing Oracle E-Business Suite security. The dashboard content a user sees is completely consistent with the Oracle E-Business Suite context and security.

Each Oracle Enterprise Command Center extends the owning Oracle E-Business Suite application with discovery-oriented dashboards that bring together diverse operational data from across the Oracle E-Business Suite. ECC dashboard users identify and act on top priorities without the need for custom operational reporting, and use information-driven navigation. With tools and visualizations such as actionable indicators, tag clouds, interactive charts, and consumer-like search and filters, users can browse and drill on whatever engages their attention. With each drill-down or search refinement, the data engine recalculates indicators, tag clouds, charts, and search choices to provide the user with new information on which to base the next discovery steps. Through this "conversation with the data", users narrow in on today's most important business challenges, all without predefined navigation paths, structured queries, or operational reports.

Having identified the most pressing business challenges, users seamlessly transition to detailed transaction screens to take immediate and informed action. Transaction screens are pre-populated with the results of information discovery; no re-querying of data is required. Users can switch between information discovery and transaction screens as they work their way through a set of identified problems, retaining the current discovery context.

Oracle Enterprise Command Center Framework is built on scalable architecture comprising the following three main layers:

Using Oracle Enterprise Command Centers, you can:

For more information, see: Using Enterprise Command Centers and Highlights of an Enterprise Command Center.

Using Enterprise Command Centers

Example of an Enterprise Command Center Dashboard

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Each Enterprise Command Center has a set of features that allows users to answer essential questions, uncover business insights, and drill down to take the relevant action. It helps users quickly and intuitively analyze data so they can make confident decisions driven by data.

Oracle Enterprise Command Center Framework brings an interaction paradigm between business users and data in their system of records. Oracle Enterprise Command Center Framework helps create an interactive engagement rather than using simply operational reporting, whether custom or out of the box, or traditional search-and-results interfaces.

Oracle Enterprise Command Center Framework relies on the concept of guided navigation through data to achieve information discovery. This approach presents a high level overview of the data to users, based on their roles and access levels. Users then take whatever path they want through the data to explore different aspects. Oracle Enterprise Command Center Framework guides users through their interactions with multi-faceted search, cascaded drill-downs, type-ahead suggestions, highlighted keywords, and more.

For information on administering or extending Enterprise Command Centers, refer to the separate documentation on the Oracle E-Business Suite Documentation Library.

Highlights of an Enterprise Command Center

Oracle Enterprise Command Center Framework provides a flexible toolset for creating dashboards in different functional areas. The following are some features that enable you to handle diverse scenarios and obtain several types of insights.

Oracle Enterprise Command Center Dashboard

Data Load Details

Every dashboard shows the last data load date and time for all the data sets associated with the application. You can access the data load details by clicking on the Information icon.

Example of Data Load Details

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Page Layout

Oracle Enterprise Command Center Framework provides the following page layouts:

Side Navigation

Search

Oracle Enterprise Command Center Framework comes with search capabilities that allow users to search for a term within a particular string of data. To do a basic search, type your search term into the search box. A list of attribute values containing the search terms is displayed, and you can select a value from the list to search for it or click on the magnifying glass (search icon) to retrieve all records containing this value.

Search Box Example

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The Search box supports the following capabilities:

Search Example using 'AND'

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Oracle Enterprise Command Center Framework also has advanced search capabilities in the search box as wildcard, phrase, and Boolean search with complex expressions.

Value Search

You can search across attributes for values with matching names. The search returns single values that match all your search terms organized. by attribute.

A value search must include three or more characters.

Record Search

You can perform a keyword search against specific attribute values assigned to records.

Phrase Search

Phrase Search allows you to search for an exact sequence of terms using quotation marks (" "). For example, searching for "phillip taylor" returns only records with phillip taylor (case-insensitive).

Phrase Search Example

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Wildcard Search

Wildcard or partial search used when you are searching for a term where you only know a few letters. By default when you start typing your search term in the search box, a trailing wildcard (*) is implicitly added at the end of the word. For example, a search for work returns all values with terms that start with work; for example, PC WORKSTATION, and WORKSTATIONS.

Example of a Wildcard Search

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Also, you can use (*) or (%) at the beginning and end of the search term, and the results will match any text that contain the characters between the search operators, even if the text occurs in the middle of a word. For example, with a search for *work* or %work%, all values that have 'work' are returned in the search results. (*) or (%) perform a multiple character wildcard search that looks for 0 or more characters. For example, a search for *work* returns values such as PC WORKSTATION, NETWORK, and WORKSTATIONS.

Example of a Search using '*'

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To perform a single (one and only one) character wildcard search use the "?" symbol. For example, a search for ?and returns LAND, and a search for ??and returns STAND.

Example of a Search using '?'

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Boolean Search

You can include logical operators in the search to set more precise search logic based on the operators listed below:

Note: Boolean operators must be in capital letters only: AND, OR, and NOT.

Boolean Search Operators
Boolean Search Operator Purpose Example Usage and Results
AND Returns results with all specified terms. cip AND addition
Returns results with both 'cip' and 'addition'
OR Returns results with any specified terms. desktop OR laptop
Returns results with either 'desktop' or 'laptop'
NOT Negates the following term (Will not retrieve records that have the unwanted keyword). desktop NOT monitor
Returns results with 'desktop' but not 'monitor'

Operator precedence is determined in the following order:

  1. Any sub-expressions in parentheses are evaluated first

  2. NOT is evaluated before other operators

  3. AND is evaluated after NOT

  4. OR is evaluated after AND

Expressions

An expression is used to build a more complex search query. You can combine keywords with AND, OR, or NOT. Use parentheses () to determine the relationship between operators when more than one operator is used. For example, a search for (computer OR desktop) NOT monitor returns records that contain both the words 'computer' and 'desktop' but do not contain 'monitor'.

Selected Refinements

The Selected Refinements region allows you to view and understand how the applied filters are displayed and grouped based on refinement operator.

In the Selected Refinements region, filters are grouped as described below:

LOV Support

You can access the meaning of the filters applied from the metric refinements in the selected refinements component. Hover over the applied filters codes to see the descriptions of the codes.

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Breadcrumbs

The Breadcrumbs feature is an intuitive representation of the selected refinements as a trail of filters.

The Breadcrumbs feature is configured along with the search box on the page. It places emphasis on the sequence, or path, that the user has chosen to arrive at the current state of the dashboard.

Filters in the sequence are separated by their corresponding data set names with controls to remove individual values. Filters of the same attribute are placed next to one another, and hierarchical filters are separated by '>'.

Example of Selected Refinements as Breadcrumbs

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If there are more than three filters of the same attribute, all the filters are grouped and collapsed with an icon. Clicking on the icon displays all the filters of the attribute. You can also remove all the filters of this attribute at once.

You can replace or apply additional filters from the selected refinement.

If you click on the attribute name, then you can select another value and apply it as a filter on top of the existing one from the same attribute. If you click on the attribute value, then you can select another value and replace it with the existing one from the same attribute.

Note that this usage applies to multiple assigned attributes with 'OR' and 'AND'.

If you filter by one of the context attributes (single assign) in the dashboard, such as an operating unit, and then click on the attribute name or value, the applied filter will be replaced by the new value.

If you applied a date range filter, you can click on the attribute name or attribute value and replace the existing filter with the same attribute. Also, with a date range filter, if you click on the attribute name or value and switch from range to list or from relative range to list, then filtered by one value or more from the list, then these filters will be applied on top of the existing range filter applied from the same attribute.

If you applied a numeric range filter, you can click on the attribute name or attribute value and replace the existing filter.

Example of More than Three Refinements in Breadcrumbs

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Saved Search

Oracle Enterprise Command Center Framework provides an option to save frequently-applied filters or preferred filters as saved searches, allowing users to reuse them. All saved searches are context-sensitive to the page and are part of the search suggestions. The list of saved searches appears when the focus is on the search component. Saved searches are searchable by their titles, filter attributes, and filter values.

Three types of saved searches are available for users: seeded, public, and private. Seeded saved searches are published along with the product. Administrators can create public saved searches. Users can create their own private saved searches. Private saved searches are accessible only by the users who created them whereas public saved searches are accessible by all the dashboard users.

To create a saved search:

  1. Add refinements to the dashboard.

  2. Click the star icon in Selected Refinements header.

  3. To create a public saved search, check the Public Saved Search check box.

  4. Enter a title for the saved search and click Save.

  5. Once a saved search is created, the star icon is highlighted.

Example of Creating a Saved Search

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Saved Search Example

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To search and apply a saved search:

  1. Place your cursor inside the search box to get a list of saved searches.

  2. All seeded searches are grouped separately, and public saved searches are marked.

  3. Enter a search query to refine the list.

  4. Click on a saved search.

Example of Applying a Saved Search

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To delete a saved search:

  1. Apply a saved search.

  2. Click the star (highlighted) icon.

  3. Click Delete.

To edit the name of a saved search:

  1. Apply a saved search.

  2. Click the star icon.

  3. Update the name.

  4. Click Save.

To edit the filter state:

  1. Delete the saved search.

  2. Update filter state.

  3. Click the star (highlighted) icon.

  4. Enter the previous saved search's name.

  5. Click Save.

To copy or modify a public saved search:

  1. Apply a public saved search.

  2. Add or delete filters, if necessary.

  3. Click the star icon.

  4. Update the name.

  5. Click Save to create a private saved search.

You can create a private saved search and make it your default search for applied refinements when you navigate to a dashboard.

Available Refinements Overview

Available Refinements

The Available Refinements region allows interactive navigation of the data without your having prior knowledge of its spread and characteristics. Available Refinements presents you with all available possible values of an attribute through facets, date ranges, and number ranges.

As you interact with available refinement components or perform filtering operations from other components on the page, Available Refinements will dynamically update its list to display relevant attributes and attribute refinements. This navigation is data driven and supports progressive disclosure of additional options as appropriate, according to your navigation path through the data.

You can search for a specific attribute value using the search box embedded in the Available Refinements region. The minimum number of search characters is 2 to help you to find some search terms like 'IT'.

The Available Refinements feature includes an option to perform a 'Like' search. This type of search supports pattern matching when you enter a search string with wildcards or a Boolean expression. Click the magnifying glass icon displayed next to the attribute for the search to take effect on all page components.

Example of a Date Range in Available Refinements

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The Available Refinements feature also supports categorizing the attributes in a logical grouping using attribute groups.

Negative Refinements

Negative Refinements allows you to refine the data by filtering out the selected values. Such refinements are displayed in selected refinements with an "Exclude" icon indicating them as negative refinements. To apply a negative refinement, you click the "Exclude" icon. The icon is visible only when hovered on the attribute value or navigated using the keyboard.

Example of Selecting a Negative Refinement

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Example of a Negative Refinement

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You can also exclude more than one attribute by clicking the icon for all the required exclusions.

Also, if a search is done, the Exclude All button excludes all the search results.

Negative refinements change the refinement behavior of multi-select AND attribute to multi-select OR as well as conversely.

Behavior Matrix for Refinement Selections
Negative Refinement Selection Single Assignment, Positive Single Assignment, Negative Multiple Assignment, Positive Multiple Assignment, Negative
Single Selection = < > N/A N/A
Multiple Selection OR N/A N/A OR NOT X AND NOT Y
Multiple Selection AND N/A N/A AND NOT X OR NOT Y

Range Filter

You can switch between the range and list for date and numeric attributes in the available refinements and breadcrumbs features.

Relative Date Filter

A Relative Date Filter allows you to filter the dashboard based on a sliding window of time and take advantage of the default saved search with the relative date.

You can apply time-based filters to any date and date-time column in the dashboard using the relative date icon.. For example, users can use the relative date filter to show only sales data that's happened within the last 30 days (calendar months).

The default filter is "Today". You can specify a relative date period as either an explicit number of past or future time units (for example, 2 years) or specify a previous period.

Multi-Data Set

The Available Refinements feature also allows you to apply the appropriate filters from multiple data sets. When two or more data sets are configured under Available Refinements, you can switch among the data sets to find and apply your desired refinements. The name of the data set selected appears in the component header as a title.

The Available Refinements feature allows you to select and apply filters from multiple data sets. You can switch among the data sets to find and apply selected refinements.

ulti data set list enhanced to reflect the business meaning of the data set in a visual look and feel

Example of a Multi-Data Set

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Attribute Group

An attribute group is a logical grouping of attributes for display purposes. Attribute groups provide ease of navigation through Available Refinements.

For example, in an Assets application, the attributes could be grouped into the following: Asset Details, Category, Financial Details, Sources, and Assignments. The Asset Details attribute group contains the attributes Manufacturer Name, Model Number, Serial Number, and so on.

Attributes are then displayed in a hierarchical order based on the attribute groups.

Oracle Enterprise Command Center Framework supports advanced scrolling functionality by limiting the height of refinements section by the height of the dashboard.

Dashboard Components

Oracle Enterprise Command Center Framework has a set of graphs and charts that provide a powerful way of summarizing and presenting data that are critical in decision making in an easily comprehended manner. You can find insights, detect outliers, filter the data directly from the charts, and drill down to a deeper level of details. This section describes how charts and graphs are used to detect and solve problems or highlight bottlenecks and exceptions.

Summarization Bar

As the name implies, metrics, flags and dimensions in the bar summarize important aspects of the data displayed. All values are updated with new calculation results when you change the focus as you filter the data.

The summarization bar supports conditional formatting. With conditional formatting, a metric item can be displayed in a specific color based on a specific value or range of values, so that the color changes depending on the value of the metric.

Summarization Bar Example

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You can apply a filter from a metric item in the summarization bar; this filter can be based on a static condition. For example, "Draft Orders" could be based on static conditions (open flag = Y AND booked flag = N). Also, the filter can be based on a variable condition. For example, the "My SRs" metric is based on service requests assigned to the logged-in user. In this case, the condition changes based on the logged-in user.

Numbers may be abbreviated for improved readability. The actual value is displayed in the tooltip.

Example of Abbreviation in Summarization Bar

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Values in the summarization bar are displayed according to the number formatting specified for the Oracle E-Business Suite instance and are translatable.

Example 1 of Number Formatting in Summarization Bar

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Example 2 of Number Formatting in Summarization Bar

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Tag Cloud

A tag cloud highlights keywords in the system based on a configured importance metric. For example, a tag cloud could show top (or bottom) suppliers by invoice count, invoice amounts, and so on.

Example of a Tag Cloud

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You can change the attributes of the Tag Cloud by using the Options icon.

Charts

Charts depict data trends, distributions, anomalies, and more. You can drill down through different levels of hierarchy and allow the system to expose different levels of details dynamically. You can control which options to slice the data by and affect the whole navigation path by picking filters directly from the charts.

Charts are effective when there is numerical data that splits nicely into different categories so you can quickly see trends within the data, compare related information, and gain immediate insight.

Example of a Horizontal Bar Chart

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Example of a Bar-Line Chart

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Example of a Vertical Bar Chart

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You can refine the displayed data by clicking the data point on the chart. Also, by hovering the mouse over a chart, you can display the dimension and metric value for a data point.

Also, you can make the following refinements:

Multi-metric Chart

Example of a Multi-Metric Chart

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A multi-metric chart supports the display of multiple metrics. Each metric shares the same axis. In a multi-metric chart, the bars are grouped by a series dimension.

With this chart, you can visually compare metrics against a shared dimension. For example, an organization could have a number of projects. A multi-metric chart could be used to compare the planned versus the actual quantity of a resource per project, or it could be used in a comparison of cost and revenue per project.

Multi-metric Bar-Line Chart

A multi-metric bar-line chart supports the display of multiple bar metrics and line metrics. Bar metrics and line metrics have their own axes, respectively. A series of dimension groups the metrics. With this chart, you can visually compare metrics against a shared dimension.

Example of a Multi-Metric Bar/Line Chart

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Multi-metric bar and bar/line charts can be designed to span across data in different data sets. For a business user, the experience is the same as with a typical bar or bar/line chart, respectively. However, when a filter is applied from a chart with a multi-data set, then the selected refinements include filters from all the data sets.

Stacked Bar-Line Chart

A stacked bar-line chart supports the display of bar metrics aggregated over a series dimension and grouped by a group dimension. Line metrics are aggregated over a group dimension. Bar metrics and line metrics have their own axes, respectively.

Example of a Stacked Bar/Line Chart

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Line Chart (With Group Dimension)

A stacked bar chart can be converted to a line chart at runtime, which then displays the aggregations as lines.

Example of a Line Chart (With Group Dimension)

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Line Chart with Data Points

Line chart and Bar/Line charts include a line series with data points, giving a clear indicator of the values. From the runtime options, you can control the display of data points.

Example of a Line Chart with Data Points

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Line Smoothing

Line charts and Bar/Line charts can be displayed with smoothed line series. The representation of a smoother line is well-suited for continuous data with minimal variation and can give a clear visualization of trends. You can control the display of data points on the smoothed line through runtime options.

Example of a Line Chart with Line Smoothing

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Waterfall Chart

A waterfall chart is useful for visualizing the changes of an attribute over a timeline or over categories. A waterfall chart can also represent the significant contributors to the changes of a value. A waterfall chart connects ends of each bars illustrating the starting values and ending values. You can also choose to display the beginning and final values for understanding the changes from initial state to final state.

Example of a Waterfall Chart

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Color Pinning in Charts

Color pinning is the display of context-specific colors on charts to reflect the true meaning of what the chart represents. It thereby enables users to focus on the important attributes of the charts and then take appropriate actions.

Top N in Charts

The Top N feature in charts can be used to include just the essential information by rendering the chart with a subset of dimensions to display only the first N dimensions in the chart. Top N takes the Sort definition into account for considering the first N dimensions. The number of dimensions displayed can be controlled from runtime options, if configured.

Top N is applicable for all chart types apart from pie and donut chart types, if the group dimension is configured.

In Bar and Bar/Line chart types, if the chart has a group dimension, then Top N uses the group dimension; otherwise, it uses the series dimension.

In Bubble, Scatter chart types, Top N always uses the group dimension.

Example of Top N in a Chart

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When configured, the order of display is also controlled from runtime options to display the N dimensions from first or last. This is valid for charts with a timeline or a rolling window where the chart renders data for a rolling window of last N days/times.

Example of Top N Chart with Order of Display

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Pie and Donut Charts

Pie charts show a single metric aggregated across a group dimension.

Example of a Donut Chart

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You can hover the mouse over a wedge or segment to display the corresponding metric value as well as its percent of the total.

"Other" in Pie/Donut Charts

The readability of the pie chart is improved by grouping dimensions with lower metric values based on a threshold percentage, thereby reducing UI clutter. All the dimensions corresponding to a percentage lower than the threshold are grouped into the "Other" group. If configured, the threshold limit is also controlled from runtime options.

"Other" is always displayed last in the legend. "Other" considers sorting based on the metric -- when sorted in ascending order, "Other" is the first group and when sorted in descending order, "Other" is the last group. "Other" always displayed at the end of the legend regardless of the sorting option on the dimension.

The user can filter by "Other" from the chart to drill down to data grouped in Other. However, the user can't filter by "Other" from chart legend.

Example of "Other" in a Pie Chart

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Scatter Chart

A scatter chart is used to plot two metrics against each other. Scatter charts are used to find clusters of data points, to show gaps, and to identify sub-populations. Example use cases include cause and effect analysis (a driving factor and a dependent one), or analysis of the correlation of two variables, for example, the analysis of the relationship between cash inflow and outflow per project.

You can define the dimensions of the data used in the scatter chart. The group dimension (for example, location) controls the shapes of the data point display. The series dimension controls the number of data points with a particular shape. A data point is displayed at the intersection between the x and y metrics.

Scatter Chart Example

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Bubble Chart

A bubble chart is used to plot two metrics against each other with an additional metric represented as the bubble size. Bubble charts are used to show concentrations of data along two axes with magnitude. For example, they could be used to illustrate performance review ratings or customer profitability.

You can define the dimensions of the data used in the bubble chart. The group dimension controls the bubble color. The series dimension controls the number of bubbles with the same color. A data point is displayed at the intersection between the x and y metrics.

Bubble Chart Example

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Reference Line

A reference line in a chart can be used to identify a specific value on a chart axis. The value can be based on a function, such as the average, maximum, or minimum. It is a constant value. The reference line is available only for a defined metric; for example, Invoice Amount (sum).

You can add more than one reference line to a chart. You can add a separate line for each metric defined, or you can add several reference lines for the same metric, using different functions associated with each one.

Reference lines are supported in all types of charts except pie and donut charts.

Example of a Reference Line in a Chart

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Chart Maximization

The Chart Maximization feature improves the readability of the chart by providing visibility to more dimensions in the chart. You can maximize a chart and increase its height by dragging the right bottom corner of the chart. Change in height scales the axis dynamically and displays the chart height as a tooltip.

Example of Chart Maximization

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Chart Runtime Options

The Chart component supports a variety of runtime options:

Aggregated Table

An aggregated table displays aggregated metrics in tabular format. The aggregation level is controlled by all dimensions displayed in the table. Examples of aggregated tables include comparing financial information of multiple assets or comparing account balances.

The aggregated table also displays 50 records per page when maximized.

Example of an Aggregated Table

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The granularity of data can be adjusted in an aggregated table by controlling the display of columns from runtime options.

Results Table

A results table displays 10 records per page by default, and when expanded, it displays 50 records per page.

A results table can include the display of attributes as visual indicators or images.

You can switch among groups to display data corresponding to a group.

A results table supports row-level actions for a single record and menu actions for more than one record.

Example of a Results Table

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Runtime Action with a Postback Enhancement

Users can invoke Oracle E-Business Suite actions directly from the dashboard using a subset of records or all the records in the results table. This capability is subject to the configuration in the component. Actions configured with this functionality become active even when no records are selected. Also, users are warned if the number of records used by the menu actions exceed the limit set in the configuration.

Example of a Runtime Action with a Postback Enhancement

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Results Table with a Function Call

JavaScript functions can be invoked corresponding to each record in the results table.

Example of Results Table with Function Call

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Grid

Oracle Enterprise Command Centers can offer detailed insights into the data through grids. You can then act on the information by taking the necessary action to resolve a process bottleneck or address an exception, for example.

A grid offers a display of records in a flexible layout.

Example of a Grid

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Grid functionality includes:

Some grids allow you to change the default sort attribute and order.

The Grid feature also supports the display of aggregated metrics. All dimensions in the grid control the aggregation level. Aggregation leverages all the visible grid items driven by attributes, including images and indicators.

An aggregated grid has all the flexible layout and formatting options available for a grid. The grid does not allow filtering based on the aggregated value.

Aggregated grids do not have options for comparison and record details. The aggregated grid can be controlled to display data when a specific condition is met.

The aggregated grid also supports number abbreviations to improve readability in grid.

Example of an Aggregated Grid

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ECC Pop-up

The ECC Pop-up feature allows users to access additional content and take action outside the dashboard without leaving the dashboard. The ECC Pop-up can display actionable content from Oracle E-Business Suite HTML-based pages or other websites.

The Results Table and Grid components support the ECC Pop-up feature.

Example of an ECC Pop-up

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Diagram

A diagram provides a visualization of a business process. You can track and trace an entire business activity while getting your required insights in one page. For example, you can trace a damaged lot number to track the customer recipient of this lot while also understanding the manufacturing process and suppliers responsible for the damage.

Note: The Diagram feature is not supported in Internet Explorer.

Example of a Diagram

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You can zoom in to focus on an intermediate process or zoom out to get a perspective of the entire process.

Example of Zooming In on a Specific Process in a Diagram

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Any filter in selected refinements such as Work Order Number, for example, is considered as an anchor node in the diagram and is highlighted in yellow. The entire diagram shows the business process flows with the anchor node in context. That is, the diagram displays operations that can be related to the anchor node.

You can choose any node in the diagram to be the anchor node using the Diagram Context menu and selecting Make Anchor Node. The diagram immediately shifts the context to the selected node and shows processes related to it.

For example, if the diagram shows transactions from a particular purchase order and finds a work order of interest in between the transactions, then you can select that work order as the anchor node, and the diagram then shows all the entities related to that work order.

A diagram has an upper limit for the number of nodes that can be displayed based on the limit set on the diagram.

You can add filters and the diagram component automatically organizes itself to show the related processes in a page. Pagination allows you to switch among the pages to view other related process flows. Use the pagination control below the diagram to navigate between pages.

For example, if you apply three purchase order numbers as filters, then the first two purchase order processes are represented in the first page, because the diagram understood there are subsequent transactions common to these purchase orders. The remaining purchase order is shown in a different page.

You can also expand any node to display upstream and downstream processes related to that node. You can expand a node by either by clicking the icons on the node or clicking "Show adjacent nodes" in Options.

To view the entire details related to a particular node in a tabular form, click "Show Details". You can export a snapshot of the diagram component for collaboration with other stakeholders. This exported snapshot is saved in PNG or SVG format.

The "Find Similar" feature helps you filter the diagram by a specific value and displays matching flows (diagrams); for example, review other Lots with similar characteristics. This feature is embedded in the Show Details and Compare pop-up windows.

The Multi Select Node allows you to select more than one node from the same business entity (from the same or different rank), compare between these nodes to spot differences, and find similarities or filter directly by the selected node by making them anchor nodes.

Note: "Show Adjacent Node" and "Show Details" are not supported in multi-select nodes.

Note: If you select multiple nodes from a different business entity, then all previous nodes will be deselected.

Diagram pagination uses Film Strip Thumbnails to help you explore multiple distinct business processes in a single view per process with an overview of each business process. Pagination Film Strip Thumbnails displays an active image of the current business process flow, page number, and business entity (node) identifiers.

Pagination Tracking Analysis History helps you visualize history. You can keep track of the previous filter applied on the diagram by clicking on the History tab in the pagination film strip. You can click on the history thumbnails to display the previous business flow without replacing the existing one.

You can click on the current tab to see the applied filters or return to the current view of the business process flow at any time while reviewing the history.

You can click on the arrow on the history tab to apply the previous filters from the history.

Use the Highlight Path option to highlight the paths in a different color. This feature also highlights the selected and common nodes in a different color other than the color used for queried nodes. You can deselect a highlighted path using the "Unhighlight Path" option in the context menu.

Note: Highlighted paths are preserved when navigating between diagram pages.

Nodes can be grouped to display aspects of the diagram nodes at another level of detail. Redundant nodes can be grouped together. Grouped nodes are displayed with (+) sign at the corner of the node, and you can click on the (+) sign to expand the detailed nodes.

The Diagram context menu includes visual icons reflecting the business functionality for each option in the menu. The context menu can also include hyperlink actions.

Note: The context menu is not supported on iPads.

Tab Layout

Different dashboard components can be grouped into separate tabs based on functionality.

Example of a Tab Layout

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Administrators can delete or reorder tabs.

Common Features

Oracle Enterprise Command Centers can offer detailed insights into the data through results tables and grids which help you gain insight as quickly as possible. You can then act on it by taking the necessary action to resolve a process bottleneck or address an exception.

On some results tables and grids you can use the Options icon to compare records or perform other functions.

For record search only, you can control the order of the search results based on the record score in the data set. Data is sorted by "Score" by default. You can override this default order or add more sort options when you configure a dashboard. This ranking is supported only in results tables and grids.

Default Value

You can specify a context-sensitive default value for a data set instead of a NULL value. The default values behave like any other attribute value and can be used for display in the UI components. This capability allows you to refine the dashboard using these values.

For example, for a list of assets, any asset that has not been assigned to an employee could be given the value "Unassigned" for the Employee Name. You can then refine the results of this data set on your dashboard by the value "Unassigned".

Example of a Default Value in a Results Table Column

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Support for Time Stamps and Time Zones

You can include the time along with the date in a date/time stamp. This capability improves precision in the data displayed and enables you to accurately filter data for the right period. The time stamp is available for all the components. You can use a time range in available refinements to filter the data on the dashboard.

You can leverage the dashboard to view information detail on the level of seconds. Enterprise Command Center dashboards can display the time difference from the current time on the seconds level.

Oracle Enterprise Command Center Framework considers a user's time zone for displaying time-sensitive data. This capability improves information accuracy and reliability.

Example of Time Stamps in Available Refinements

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Page Display Preferences

Your changes to the runtime options of components are saved as Page Display Preferences. You can log in again or navigate back to the dashboard to see your changes. These changes persist until you explicitly reset either at the component level or page level.

Resetting options done on the component-level resets the changes done to the component. Resetting page-level changes affects the entire dashboard. The following table lists changes that are maintained across the components:

Components and Retained Changes
Component Changes Retained
Available Refinements Data set selected
Search Component Data set selected
Category value
Chart Component Runtime selection of dimensions and metrics
Runtime sorting changes
Changes to chart orientation and stacking
Show as line
Show multi-metric
Split Y-axis for bar/line
Number of dimensions displayed, order of display
Show connecting lines (Waterfall chart)
Show totals (Waterfall chart)
Tag Cloud Runtime selection of dimensions and metrics
Tab Component Selected Tab will be stored in session but not as a preference
Aggregated Table Selected Attributes and Metrics from Runtime
Runtime Sorting
Results Table Runtime Sorting
Grid Runtime Sorting

When you change the preferences, a Reset icon is provided for resetting the display. At component level, the Reset icon is in runtime options of the component. At the page level, the component is in the side navigation panel or on the top left of the dashboard.

Cascading Breadcrumbs

Cascading Breadcrumbs display the trail of cascading dimension values that give you an understanding of the drill-downs that display the current dimension. In Chart and Tag Cloud components, cascading breadcrumbs are displayed in the top right corner when the components are cascaded. Cascading breadcrumbs are displayed when you drill down from the component itself or if the component is auto-cascaded due to any filter.

Example of Cascading Breadcrumbs in a Chart

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Lookahead Visualization

Charts serve as a powerful visualization tool for information discovery and analysis. The chart tool-tip enables you to look ahead to the next level of detailed available on a chart . For all charts that have cascading enabled, you can hover over the chart series and see the next level of details shown in a similar chart type. This lookahead visualization honors the chart sorting option, user preferences, and cascading breadcrumbs, and is available for all types of charts.

Note: The chart tool-tip is displayed at the last level of cascading.

Export

Export in Results Table and Grid

Records in results table and grid can be exported in a CSV file format. The exported file contains records organized in a tabular structure with attribute keys and attributes names as table headers. The exported file contains selected refinements on the page and timestamp of export.

To Export:

  1. Click Export in runtime options to open a window with export options. The title of the new window is the component title or data set name when there is no component title, followed by the number of records.

  2. Rename the default file name. The default file name is component title or data set name appended by timestamp.

  3. Choose standard or custom delimiter.

  4. Choose the Attributes to export.

  5. Choose the number of records.

  6. Choose if hidden attributes and primary key needs to be included.

  7. Choose if the file needs to be compressed.

Example of an Export Window

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Exporting Records from an Aggregated Table or an Aggregated Grid

Records in an aggregated table or an aggregated grid can be exported in a CSV file format. The exported file contains records organized in a tabular structure with attribute keys and attributes names as table headers.

The exported file honors all the runtime changes and contains selected refinements on the dashboard and timestamp.

Unlike with results tables and grids, Export pop-ups in aggregated tables and aggregated grids do not display the number of records in the pop-up header and pagination range.

To Export:

  1. Click Export in runtime options to open a window with export options. The title of this window is the component title, or data set name when there is no component title.

  2. Rename the default file name. The default file name is component title or data set name appended with a timestamp.

  3. Choose standard or custom delimiter.

  4. Choose the number of records (Only for aggregated grid).

  5. Choose if the file needs to be compressed.

Example of an Export Window for Aggregated Grid

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Export in Chart

The Chart component can be exported as a PNG image that contains a snapshot of the chart. The snapshot contains the chart as-is seen on the dashboard to honor runtime changes and any change in size with chart maximization.

To export the chart image, click on the camera icon in runtime options.

Note: Chart Export Image is not supported in Internet Explorer.

Underlying data of the chart component can also be exported in a CSV file. Exported data also honors all the runtime changes. As the underlying data needs to be holistic, exported data of chart contains all the data even if Top N is configured.

  1. Click Export in runtime options to open a window with export options. The title of this window is the component title.

  2. Rename the default file name. The default file name is component title or data set name appended with a timestamp.

  3. Choose standard or custom delimiter.

  4. Choose if the file needs to be compressed.

Export in Tag Cloud

The underlying data of the Tag Cloud component can be exported in a CSV file. Exported data also honors all the runtime changes. As the underlying data needs to be holistic, the exported data of a tag cloud will contain all the data irrespective of how many dimensions are displayed.

To Export:

  1. Click Export in runtime options to open a window with export options. The title of this window is the component title.

  2. Rename the default file name. The default file name is component title or data set name appended with a timestamp.

  3. Choose standard or custom delimiter.

  4. Choose if the file needs to be compressed.

Example of Exporting a Tag Cloud

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Example of Export Window for a Tag Cloud

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Export Dashboard to PDF

Some solutions require team collaboration, which requires users to share the insights from the dashboard after drilling down to additional details. Sharing the entire dashboard at once improves collaboration between users and allow other users to view the same perspective of the dashboard. The Export Dashboard to PDF feature provides this capability.

To share a dashboard, you can click on the Share icon and export the dashboard to PDF.

Note: This feature is disabled by default. An administrator can enable it.

The export process is initiated immediately after clicking Export to PDF.

Considerations of the Export to PDF feature are:

Limitations of the Export to PDF feature are:

Compare Window

You can compare records in a results table or grid. The Compare window also allows you to compare among the records view information of attribute values. Attributes are organized into corresponding groups if configured.

The Compare window can also have dynamic titles as column headers. The column headers in the Compare window can include tokens to display a dynamic title for each record based on an attribute value.

Grid actions can also be accessible from the column headers of the window.

The Compare window includes the "Find Similar" feature for improved information discovery. The "Find Similar" feature is supported only in non-group based attributes in Results Tables and Grids.

Example of a Compare Window

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Record Details Window

The Record Details window allows you to view all the significant information of a record in a results table or grid in a tabular format. Attributes in a Record Details window can also be organized into respective groups if configured. Similar to the Compare window, the Record Details window also supports dynamic titles and column header grid actions.

The Record Details window includes the "Find Similar" feature for improved information discovery. The "Find Similar" feature is supported only in non-group based attributes in Results Tables and Grids.

Example of a Record Details Window

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Number Abbreviation

Numbers can be abbreviated for improved readability in summarization bars and aggregated grids.

Number abbreviation is available in the Flags and Metrics of the summarization bar. The actual value is displayed in the tooltip. Any additional tooltip is displayed beneath the value.

Numbers in summarization bars can also use number formatting as defined in Oracle E-Business Suite, and are translatable.