Multiple Forecast Streams in Demantra

Hey,
I've noticed release note for 7.2 includes the following enhancement:
"You may want to create statistical forecasts from multiple demand streams.
You can generate a forecast from any data stream, for example, booking history and shipment history. Each data stream has a unique engine profile and version."
I haven't been able to find much documentation about this option.
Has anyone implemented a solution using that ? Know any HOW-TO documents available?
I'm thinking of using it for forecasting - item sales, and item returns from customers.
How should SALES_DATA be loaded for that scenario? How should engine be run?
Thanks alot for any reply,
Aaron

Hi All,
Forecasting with multiple demand stream means that you can generate multiple forecasts based on different demand stream. By demand stream, i mean the historical data stream on which you want to generate the forecast.
There can be situations where you may require to generate forecast for different purpose.Like Aaron mentioned, you may want to generate a forecast based on the order/booking history and/or you may want to generate a forecast based on the returns history. For this purpose you need to create different engine profiles.Engine profile is nothing but a set of engine parameters with specific values. Oracle Demantra provides some predefined profiles for different purposes, and you can define additional engine profiles, as needed. When you run the Analytical Engine, you specify the engine profile to use.
Now coming to the HOW-TO part:
1) The quantity_form (system parameter) contains an expression that is used by the engine to retrieve and aggregate demand stream data from the SALES_DATA table. Make sure that the quantity_form expression for a specific engine profile points to database columns containing the historical demand stream desired for the profile. Meaning, if you want to generate a forecast based on booking history then the quantity_form should point to the booking history stream in the sales_data table. Likewise for returns history, point the quantity_form to returns history stream in sales_data table.
2) Create a series to view the forecast generated by the engine profile.
3) The newly created engine profiles gets added to the list of engine profiles in the system parameters.You can select the required engine profile and generate the forecast.
4) View, Edit or compare the forecast created in step 4 by creating a worksheet with all the forecast generated.
I hope this brings more clarity to the queries/replies posted earlier.
Regards,
Shekhar
Edited by: Shekhar on Feb 18, 2009 10:02 AM

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