Minimize Your STS Maintenance Effort

  • by Andrey Bondarev, Senior BI Consultant, Bluefin Solutions Ltd.
  • June 1, 2008
Find out how to automate the maintenance of each user’s details in your Status and Tracking System implementation.
Key Concept

Many organizations use Status and Tracking System (STS) for central management of planning processes in SAP NetWeaver BI installations. STS provides features that help you manage the planning process in both SAP BW Business Planning and Simulation and SAP NetWeaver BI Integrated Planning.

Status and Tracking System (STS) implementations can suffer from increased and unnecessary maintenance effort, which grows proportionally to the number of users involved. As the number of users in your system grows, you must update the relevant URLs, dates, and email addresses for all hierarchy nodes (e.g., cost centers or customers) frequently. Not only is this time consuming, but typically this also requires an IT support person to create these changes.

I provide step-by-step instructions on how to apply logic to assign user IDs, URLs, and email addresses regardless of the InfoObject used in an STS hierarchy. The technique eliminates the need to revisit each hierarchy node and maintain the user IDs, email addresses, and Web addresses assigned to it.

Instead, you can perform all STS maintenance and updates with a single program run, rather than revising each hierarchy node — after you implement this method, you can update all changes to the STS hierarchy nodes with one click of a button. Users then maintain this information in a flat file that the system loads into a DataStore object (DSO) and updates in STS automatically.

I used SAP NetWeaver BI 7.0 for this article. Even though the method includes creating a Business Add-In (BAdI) implementation, no specific experience in BAdIs or ABAP objects is required.

Andrey Bondarev

Andrey Bondarev is a senior BI consultant for Bluefin Solutions, a UK-based SAP partner. Andrey has more than five years of experience in many areas of SAP BW, specializing in data modeling and performance optimization.

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