| Demantra Description | Translates to DM Cloud |
|---|---|
| Business Modeler | Planning Analytics |
| Levels | Dimensions |
| Series | Measures |
| Worksheets | Tables |
| EP Load Main | Demand Plan (Refresh with Current Data) |
| Analytical Engine | Demand Plan (Forecasing Profile) |
| Criterion | Cloud Improvement Score | Cloud Applications (Release 13 - 21D) | Demantra Applications (Release 12.2.4 & above) | Cloud Improvement Metrics | Rationale for score |
|---|---|---|---|---|---|
| Functionalities : Gaining efficiencies by having efficient business processes supported by Cloud | |||||
| Statistical Forecasting |  |
15 forecasting models (Bayesian framework) with unlimited causal factors (called Decomposition groups) are available | 9 forecasting models (Bayesian framework) with 20 causal factors are avaiable. However, with AFDM (Advanced Forecasting and Demand Modeling - additional component, licensed separately) 6 additional models (Bayesian framework) and unlimited causal factors become available |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
With out of the box access to all the 15 forecasting models, DM Cloud provides an extra edge with no additional component |
| Forecast Tuning |  |
Tuning can be done by SuperUser, however nodal tuning is not available | Oracle/ IT support needed for tuning. Nodal tuning is available |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
Nodal tuning (provides capability to influence the forecasting models used for individual part-org combinations) is sparingly used in Demantra. Ease of tuning is more important in this context. Hence, our comparison keeps the cloud improvement score higher |
| Simulation | |
Demand Planners can simulate the demand easily from worksheet UI. Simulation is also possible for a subset of data | Business users require IT involvement before simulating demand to trigger Demantra engine in simulation mode |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
Ease of running simulations and comparing results. Less time to make decisions and take action |
| Planning Flexibility | |
Multiple plans can be configured and run with different options. Plans can be compared using standard UI | Single demand plan due to architectural limitations. Comparison of demand plans is cumbersome and needs to be done outside the system |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
Results from multiple plan can be compared for quick decision making and action |
| Performance | |
The dataload and forecast generation is grouped into one process, making it an accelerated process on the Cloud hosted infrastructure of Demand Management Cloud | The dataload and forecast generation is a separate process in Demantra and the performance depends on the infrastructure used during installation |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
Quick turnaround |
| New Product Introduction (NPI) | |
New Products cannot be created directly in DM Cloud (need to be interfaced) | New Products can be created directly in Demantra |
Improves Efficiency Process Improvement Improves Data Integrity Eliminate Extension/ Workarounds Improves Compliance |
|
| Member Management and Chaining |  |
|
Robust and flexible member management and Chaining (copy data from existing part-org-customer combination to new combination) |
Improves Efficiency Process Improvement Improves Data Integrity Eliminate Extension/ Workarounds Improves Compliance |
|
| Product Lifecycle Management | |
Launch Date and Discontinuation Date can be maintained at product level to manage the life cycles and forecasts of the products | Only binary control available - 'Forecast' or 'Do not forecast' |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
Prevalent use case for most customers |
| Forecast Data for Past Periods | |
Forecasts are not editable at an aggregate level if the time bucket contains past periods | Can be achieved using configuration changes in the forecasting series |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
System prevents unintentional data updates in the past periods |
| Data Review Before Load | |
Preview plan input data and associated error messages
|
Basic data review available. Can be further enhanced using PL/ SQL scripts |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
Easy review of input data resulting in faster detection and resolution of data issues |
| Workflows |  |
"Job Sets" can be defined to sequentially execute tasks (limited to ESS jobs ONLY) | Configurable workflows to implement comprehensive business processes (including components such as Wait, Email notifications et al) |
Improves Efficiency Process Improvement Improves Data Integrity Eliminate Extension/ Workarounds Improves Compliance |
"Job Sets" in cloud has limited use |
| Exporting and Archiving | |
Out-of-the-box data extraction (measures and hierarchy) capablity using 'Publish Data' and 'Extract Planning Data' features to feed data lake of your choice for multidimensional analysis | Basic data extraction capablities which can be enhanced using custom PL/ SQL programs |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
Flexibilty for customers to use their own Datawarehouse / Data Lakes for advance analytics and insights | Reporting and Analytics : Easy, advanced visualizations |
| Dashboards | |
Easy to configure modular dashboards with advanced visual components (graphs, infotiles, tiles, tileset, heatmap, sunburst, gauge, funnel, bubble, combination graphs, treemap etc.) | Basic dashboarding capability (line chart, bar chart, plot chart, pie chart, stackend bar chart etc.) |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
User-friendly GUI with advanced filtering, drill-down, and aggregation/ disaggregation makes Demand Planners more efficient |
| Reports (Tables/ Worksheets) | |
Intutive, interactive, and actionable tables with drill-down functionality
|
Worksheets with basic drilldown capability (embeded worksheets)
|
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
|
| Slice and Dice | |
Advanced UI capabilities for filtering and aggregating/ disaggregating data using 'Analysis Sets' (reusable filters across dimensions) and 'Segment Groups' (custom grouping criteria) | Basic filtering capability (specific level values) |
Improves Efficiency Process Improvement Improves Data Integrity Eliminates Extension/ Workarounds Improves Compliance |
|
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