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282 results
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SAP General Ledger Extractors at a Glance: How to Avoid Costly Mistakes
Learn how to choose the right SAP General Ledger extractor for your business needs among the different options provided by SAP. Key Concept The basic purpose of general ledger accounting is to provide a comprehensive view for external reporting. Until now, companies had to use multiple ledgers to meet reporting requirements for both external and...…
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How to Replay Results of Your CO Allocations and Enhance CO Reporting with Extract Management
This quick tip shows you how to use extract management to replay the results of your Controlling (CO) period-end allocations such as assesment and distribution cycles and how to improve execution performance of CO reports. Key Concept Extract management refers to the creation, change, and deletion of extracts created in an SAP system. An extract...…
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How to Replay the Results of Your CO Allocations and Enhance CO Reporting with Extract Management
This quick tip shows you how to use extract management to replay the results of your Controlling (CO) period-end allocations such as assesment and distribution cycles and how to improve execution performance of CO reports. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here
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Simplify Complicated Extractions with Function Modules
While you can handle most custom extraction needs with a generic extractor over a table or view, it’s handy to have another method for a more complicated extraction. This example shows how to create a generic extractor that uses a function module to gather and deliver data to BW. Key Concept A generic extractor using...…
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Identify Data Errors Early with the Extractor Checker
The extractor checker can test extracted data at the source, allowing you to find data errors/inconsistencies at an early stage. Key Concept The extractor checker comes packaged in Service API (SAPI), which enables you to create generic DataSources via transaction RSO2. The extractor checker has been available since very early SAP releases (both SAP_APPL including...…
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Speed Up the Subscription Extract Process from CRM to the Mobile Client
/MobileLearn how you can reduce the amount of time to process subscription data from mySAP CRM to the mobile clients by re-extracting it. Key Concept Publications are data repositories in which the system gathers and organizes data. A particular condition record table (e.g., price condition table A032) is an example of a publication. Subscriptions contain...…
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Run Setup Jobs in Parallel and Minimize Production Downtime When Using the Logistics Extraction Cockpit
Running a setup job through the Logistics Extraction Cockpit requires that you to turn off your logistics application. It is therefore important that the job run as quickly as possible. The fastest way to complete the setup job is to break it up into parts and run those parts in parallel. The authors show how...…
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Meet the Three Challenges of Extracting Financial Data: High Volume, Content Modifications, and Satisfying User Needs
Learn how to optimize three key processes to help meet the demands of extracting line-item financial data from R/3: loading financial data, enhancing the extraction process to modify content, and defining delta management to deal with high volume. Extracting FI line-item data presents a number of challenges. Because of the large volume of detailed...…
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Develop a Custom DataSource Using the Generic Extractor
Most R/3 sites have custom-developed tables for which no standard SAP Business Content DataSource exists. You have to build one yourself using BW’s generic extractor. SAP’s online documentation does not completely cover the topic, but this article will walk you through the steps. Several SAP-delivered Business Content items do not completely model all the...…
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Demystify the Concept of Package Size for Data Extraction
Setting the optimal package size for your data loads from your SAP source system to your BW system is important for improved system performance and troubleshooting. Gain a better understanding of the consequences of improper sizing and the considerations for setting sizing parameters. Key Concept Data is transferred into BW not as individual records but...…
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