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Oracle Demantra Demand Management User Guide
Release 7.3
Part Number E05179-08
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Demand Management Worksheets

This chapter covers the following topics:

Worksheets Overview

To manage or view forecasts and demand, you start in the Collaborator Workbench and launch any of the relevant Demand Management worksheets. Worksheets with the necessary series for analysis and modification of the forecast are available for the analyst at the beginning of each cycle.

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Worksheet Description
Waterfall Analysis: Product Category and Organization Compare actual versus forecast demand, aggregated by product category and organization, to determine prior periods forecast accuracy.
Waterfall Analysis: Product Category and Zone Compare actual versus forecast demand, aggregated by product category and zone, to determine prior periods forecast accuracy.
Demand Analysis: Product Category and Organization Compare history and demand data in weekly time buckets, aggregated by product category and organization. Use this worksheet to manage and approve the forecast.
Demand Analysis: Product Category and Zone Compare history and demand data in weekly time buckets, aggregated by product category and zone. Use this worksheet to manage and approve the forecast.
Demand Analysis: Item and Organization Compare history and demand detailed data in weekly time buckets, by item and organization. Use this worksheet to manage and approve the forecast.
Demand Analysis: Item and Zone Compare history and demand detailed data in weekly time buckets, by item and zone. Use this worksheet to manage and approve the forecast.

Waterfall Analysis Worksheet

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The first step in the Demand Management process is to look at your previous cycle and determine how accurate your forecasts were. Using the Waterfall Analysis worksheets you can compare actual versus forecast demand for individual product categories, organizations, and regions (zones). By comparing actuals to forecast, demand planners can identify problem areas, and deduce why forecast demand did better (or worse) than planned.

For example, a retailer notices that some of their seasonal product categories did not perform well during December. Using this data, your demand analyst deduces that an unseasonably mild winter was to blame. Since this anomaly was restricted to December, the demand analyst decides to not make any changes in future demand for those products. Based on the results in the Forecast Accuracy worksheet, demand analysts can make the required adjustments and take those lessons learned and apply them to the next forecast.

The Waterfall Analysis worksheet is aggregated to the following levels, which allows you to view and slice data depending on the details in which you’re interested:

The following archived forecasts are used in these worksheets:

About the Forecast and Metrics View

The Forecast and Metrics view displays a table showing demand and forecast values for individual products, broken down by weekly time buckets.

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About the Absolute Deviation View

The Absolute Deviation view graphically represents the amount of deviation that exists in your forecast at the four, eight and 13 week level, represented as total units. Use the Absolute Deviation view to determine how much real demand differs from the forecast.

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About the Forecast Percentage Error View

The Forecast Percentage view graphically represents the amount of deviation that exists in your forecast at the four, eight and 13 week level, represented as a percentage of the demand. Use the Forecast Percentage view to determine how much real demand differs from the forecast.

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Reference

Basics:

Accessing this Worksheet Do one of the following:
  1. In My Worksheets (in Collaborator Workbench), click either DM: Waterfall Analysis Product Category and Org or DM: Waterfall Analysis Product Category and Zone.

  2. If a worksheet is currently open, click either DM: Waterfall Analysis Product Category and Org or DM: Waterfall Analysis Product Category and Zone and then click Open.

Levels you can select Either:
  • Product Category and Zone

  • Product Category and Organization

Time Aggregation Weekly

Business Data:

Series Group Series Description
Forecast Accuracy 4 Week Lag Forecast Forecast for the four weeks prior to the current time bucket.
  8 Week Lag Forecast Forecast for the eight weeks prior to the current time bucket.
  13 Week Lag Forecast Forecast for the 13 weeks prior to the current time bucket.
  4 Week Lag Absolute Deviation Absolute Deviation for the four weeks prior to the current time bucket.
  4 Week Lag Absolute % Error Absolute percentage error for the four weeks prior to the current time bucket.
  4 Week Lag % Error Percentage error for the four weeks prior to the current time bucket.
  8 Week Lag % Error Percentage error for the eight weeks prior to the current time bucket.
  13 Week Lag % Error Percentage error for the 13 weeks prior to the current time bucket.
  8 Week Lag Absolute % Error Absolute percentage error for the eight weeks prior to the current time bucket.
  8 Week Lag Absolute Deviation Absolute Deviation for the eight weeks prior to the current time bucket.
  13 Week Lag Absolute Deviation Absolute Deviation for the 13 weeks prior to the current time bucket.
  13 Week Lag Absolute % Error Absolute percentage error for the 13 weeks prior to the current time bucket.
Historical Demand Demand Unconstrained demand. Purple if out of stock.
Sales Demand Unconstrained demand. Purple if out of stock.

Demand Analysis Worksheet

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Once you have reviewed your forecast from previous cycles to determine how accurate it was, the next step is to review the forecast for the current planning cycle. The Demand Analysis worksheets are available at the start of the planning cycle, and display historical data, forecasted demand accuracy statistics and demand priority at various levels of aggregation.

You can use the Demand Analysis worksheets to view, edit, and approve the forecast for individual weekly time buckets. The Demand Analysis worksheet is aggregated to the following levels, which allows you to view and slice data depending on the details in which you’re interested:

About the Demand Tracking Table

The Demand Tracking table compares sales and demand figures, at your chosen aggregation level, in weekly time buckets. It gives analysts a side-by-side view of their actual sales, demand and forecasted sales, along with Absolute Deviation and Absolute Percentage Error for comparison.

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This table tracks the following on a weekly basis:

This table also enables users to track final approval for each line in the forecast. For more information, see Approving the Forecast.

About the Demand Tracking Graph

The Demand Tracking graph displays the Sales, Demand, Sales Forecast, Simulation, and Final Forecast values for the chosen product category over time.

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About the Detail Demand Analysis Embedded Worksheet

The Detail Demand Analysis table is an embedded worksheet that compares sales and demand figures for your chosen aggregation level, in weekly time buckets. It gives analysts a side-by-side view of their historical sales, and forecasted sales, along with Absolute Deviation and Absolute Percentage Error for easy comparisons.

Use this worksheet to look at the item level detail for the category. Analysts often look at a higher level first and if the data is not what they expect, they drill down to lower levels to see the detail. As you click on different categories, the detail level worksheet reflects the items for the category, allowing you to review details for that particular item.

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Modifying Sales Override Values

  1. In My Worksheets (in Collaborator Workbench), click Demand Analysis. Or if a worksheet is currently open, click File > Open. Click Demand Analysis and then click Open.

  2. If the worksheet does not show data immediately, click Data > Rerun. Or click the Run button.

    This launches the Demand Analysis worksheet.

  3. Enters data in the History Override field for history or base override and/or the % Chg to Base field for the Forecast.

    The results are shown in the Adjusted History and Final Forecast columns.

    Note: You can select and edit multiple cells.

  4. From the Data menu, choose Save Data. Or click the Save Data button.

  5. From the Data menu, choose Rerun.

    The worksheet updates to display the edited values.

Setting the Demand Priority

Note: This setting is only applicable for Demantra integrations with EBS.

  1. In My Worksheets (in Collaborator Workbench), click Demand Analysis. Or if a worksheet is currently open, click File > Open. Click Demand Analysis and then click Open.

  2. If the worksheet does not show data immediately, click Data > Rerun. Or click the Run button.

    This launches the DM: Demand Analysis worksheet.

  3. In the Demand Priority field, double-click the cell for which you want to set a demand priority.

  4. Enter the desired (numerical) priority.

  5. From the File menu, choose Save Worksheet.

Approving the Forecast

Approvers are notified in the My Tasks window that a new forecast is available for the current planning cycle.

  1. In My Tasks (in Collaborator Workbench), click Demand Analysis. Or if a worksheet is currently open, click File > Open. Click Demand Analysis and then click Open.

  2. If the worksheet does not show data immediately, click Data > Rerun. Or click the Run button.

    This launches the Demand Analysis worksheet.

  3. Do one of the following:

  4. From the File menu, choose Save Worksheet.

  5. In My Tasks (in Collaborator Workbench), select the Demand Analysis worksheet and then click Done.

    Demand Management notifies the final approver when all analysts have approved the current forecast.

Reference

Basics:

Accessing this Worksheet Do one of the following:
  1. In My Worksheets (in Collaborator Workbench), click the relevant worksheet.

  2. If a worksheet is currently open, click File >Open. Click on the relevant worksheet.

Levels you can select One of:
  • Product Category and Zone

  • Product Category and Organization

  • Item and Organization

  • Item and Zone

Time Aggregation Weekly unless Oracle Demantra was implemented with a monthly or daily time period.

Business Data:

Series Group Series Description
EBS Input Demand Priority The allocated demand priority (note that this is series is only applicable for EBS integrations).
Forecast % Change to Base Factor override on sales forecast.
  Base Override Manual override on sales forecast.
  Final Forecast Final forecast (this appears in yellow if the difference between final forecast and final partner forecast does not meet the requirements of sales forecast tolerance).
  Baseline Forecast Analytical sales forecast including user simulations.
  Simulation Analytical re-forecast triggered by a user simulation.
Forecast Accuracy Abs Deviation Absolute deviation for the fit forecast.
  Abs % Error Absolute percentage error for the fit forecast.
  Final Approval When checked indicates that the forecast has received final approval.
  Final Approved By User who final approved the forecast.
Historical Demand Adjusted History Shipment History – Request Date is the default.
  History Historical actual sales/shipments. Shipment History – Request Date is the default.
  History Override Manual override of historical actual sales/shipments.
Sales Adjusted History Unconstrained demand. Purple if out of stock.
  History Historical actual sales/shipments.
  History Override Manual override of historical actual sales/shipments.

Configure to Order Worksheets

Predefined Worksheets

Worksheets with the necessary series for analysis and modification of the forecast and historical data will be available for the planner at the beginning of each cycle. These are the same worksheets available in Oracle Demantra Demand Management. For each set, there are four predefined high level worksheets and one base level worksheet that is launched from the high level worksheet. The worksheets are:

Worksheets for Demand by Base Model, Option, and Item

There are configure to order seeded worksheets for the review of the bill of material dependent demand. The purpose of these worksheets is to support the demand planning process by analyzing the dependent demand for all the options and items that belong to a base model. This analysis can be accomplished either across all the location dimensions such as organization and site or for a specific organization and site. Some worksheets display the information an indented bill of material layout.

This table shows information about worksheet CTO: Item Demand by BOM by Week (Crosstab). This worksheet is similar to worksheet CTO: Item Demand by BOM by Month (Crosstab). However, it is at the week time level.

Selected series:

Worksheets for Demand Forecast for All Items of an Option and Base Model

These seeded worksheets are for the dependent demand review of all the items for an option-model combination. The purpose of these worksheets is to support the demand planning process by analyzing the dependent demand for all the dependent items for an option and base model. This analysis can be accomplished either across all the location dimensions such as organization and site or for a specific organization and site. There are two seeded worksheets--one across all the organizations and sites and the other by organization and site. If the worksheet display is across all organizations, Final Planning Percentage is not in the display.

This table shows information about worksheet CTO: Demand for All Items of an Option & Base Model. This worksheet is similar to worksheet CTO: Demand for All Items of an Option & Base Mode across Org and Site. However, it does not have Organization and Site selected for Levels in the page section and does not display Final Planning Percentage.

Selected series:

Worksheet CTO: Demand for All Items of an Option & Base Model across Org and Site is similar to worksheet CTO: Demand for All Items of an Option & Base Model. However, this worksheet has Organization and Site selected for Levels in the page section and displays Final Planning Percentage.

Worksheets for Total Demand and Amount by Option Across All Models

These seeded worksheets are for the review of option demand across all base models. The purpose of these worksheets is to support the demand planning process by analyzing the demand generated for the options across base models. This analysis can be accomplished either across all the location dimensions such as organization and site or for a specific organization and site. There are two seeded worksheets--one across all the organizations and sites and another by organization and site.

This table shows information about worksheet CTO: Total Demand & Amount by Option Across All Models. This worksheet is similar to worksheet CTO: Total Demand & Amount for Options by Base Model. However, it does not have Base Model selected for Levels in the page section.

Selected series:

Worksheet CTO: Total Demand & Amount for Options by Base Model is similar to worksheet CTO: Total Demand & Amount by Option Across All Models. However, this worksheet has Base Model selected for Levels in the Page section.

This table shows information about worksheet CTO: Item Demand by BOM by Month (Crosstab). This worksheet is similar to worksheet CTO: Item Demand by BOM by Week (Crosstab). However, it is at the month time level.

Selected series:

This table shows information about worksheet CTO: Total Demand and Amount by Item and Week

Selected series:

Filtering Data on CTO Worksheets

By default, CTO worksheets are filtered to only display items with CTO data. This includes items that are CTO-only, as well as items with both CTO and sales data. CTO worksheets can be configured to also display general sales data through the Advanced Worksheets Options dialog box.

To see the Advanced Worksheet Options dialog box, go to Worksheet Designer, navigate to section Aggregation, and click button Advanced. You can click button Advanced if either:

These are the settings:

Caution: Overriding the Base Override series for the Option and Option Classes series may cause unexpected results when viewing worksheet data and creates extraneous combinations in the SALES_DATA table. To prevent this, Oracle strongly recommends adding an Edit-Lock expression to the Base Override series and any other SALES_DATA series that are not relevant to Options and Option Classes.

For more information, see Creating an Edit-Lock Expression in the Oracle Demantra Implementation Guide.

Service Parts Forecasting (SPF) Worksheets

The following Demantra Service Parts Forecasting worksheets are available:

SPF: Analyze Forecast Organization Latest Revision Worksheet

Use this worksheet to review and modify the forecast for a specific Latest Revision/Organization. You can view the inputs used for both forecasting methods (statistical and calculated) and review both the forecasts and MAPE values for each.

You can then modify the historical demand and analytical settings and run simulations. Reject a simulation to roll back the changes and start over. Accept a simulation if you prefer the results over the original values.

You can also toggle between different forecast methods or override the forecast manually. The series SPF Final Forecast displays results of any changes.

The SPF: Analyze Forecast Organization Latest Revision worksheet uses the following series:

For details about these series, see Service Parts Forecasting Series.

SPF: Analyze Forecast Latest Revision Worksheet

This worksheet provides an aggregated view of item usage, statistical and calculated forecasts, and accuracy metrics for a Latest Revision consisting of one or more spares across all organizations. You can easily modify the worksheet to display specific spares, organizations, or tiers. When more detailed analysis of Latest Revision is necessary, use the SPF: Analyze Forecast Spare/Organizations worksheet.

This worksheet does not provide the SPF Forecast Override series by default, but you can add it if desired.

The SPF: Analyze Forecast Latest Revision worksheet includes the following series:

For details about these series, see Service Parts Forecasting Series.

SPF: Analyze Organization Base Model Spare Worksheet

This worksheet displays the Base Model, Spare, and the Latest Revisions servicing the Base Model at the Organization level. This view allows you to carefully examine historical install base and the projected install base. In this view you can override or simulate changes to install base and see how it will affect the forecast across spares that are associated with the base model.

The worksheet uses the BOM tree with Base Model displayed followed by all spares that are part of the base model. Modifications which result in changes of values shown in the SPF Install Base Final or SPF Failure Rate % Final series are propagated to the SPF Calculated Forecast series.

The SPF: Analyze Organization Base Model Spare worksheet includes the following series:

For details about these series, see Service Parts Forecasting Series.