What Is So Special about Statistical Conditions in SD?

  • by Mitresh Kundalia, Director — SAP Practice, Quality Systems & Software
  • April 1, 2004
Most businesses that use the pricing procedure in the SD module realize its value, yet few are aware of its full potential. In this article, the author uncovers the best secrets offered by the pricing procedure. Specifically, he describes how to optimize statistical conditions, alternative calculation types, and subtotals.

The pricing procedure, which calculates the price of an item being sold, is one of the most powerful configurations in the R/3 Sales and Distribution (SD) module. What makes the pricing procedure so powerful is that it is flexible and provides numerous options to meet complex pricing requirements.

This is no secret to businesses that use SD, but even so, the pricing procedure has a few hidden strengths that SAP's documentation does not adequately cover. In particular, the pricing procedure has features that use statistical conditions and alternative ways of calculating the condition values that you might not be aware of. With a business case, I will demonstrate how you can exploit these capabilities to satisfy complex business requirements. The biggest advantage of using this method is that you can enrich your pricing procedure and add information without changing the existing calculations or postings. You can then use this information for further analysis without writing custom code or user exits.

Mitresh Kundalia

Mitresh Kundalia heads the SAP practice at Quality Systems & Software (www.QSandS.com), a consulting firm specializing in SAP S/4HANA, SAP General Ledger, and complex System Landscape Optimization (SLO)-type reorganizations. Mitresh is widely acknowledged as a leading SAP expert, with multiple publications and an SAP-PRESS book to his credit. He has published more than 50 peer-reviewed articles and white papers, and he has given presentations at various SAP conferences and events. Mitresh is the chief solutions architect of General Ledger Migration Optimizer (GLMO), a leading product to accelerate and jump-start the SAP S/4HANA and SAP General Ledger initiatives; SAP Data Reorganization Optimizer (SDRO), an SLO-type product for managing complex system landscape reorganizations; and Group Currency Activation and Conversion (GCAC), a product suite to manage introduction of parallel currencies and conversion of data in a live SAP system.

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