Meet the Three Challenges of Extracting Financial Data: High Volume, Content Modifications, and Satisfying User Needs

  • by Gilles Jaegy, Project Manager, HP Finance and Administration IT, Hewlett-Packard
  • July 1, 2003
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.


I offer a series of tips and techniques to address some of the challenges posed by line-item data extractions out of the R/3 FI modules—General Ledger (G/L), Accounts Payable (A/P), and Accounts Receivable (A/R)—to BW. They might allow you to learn and obtain results faster if you’re a beginner. Or, they might help you make better design choices or improve performance if you’re already acquainted with BW. You’ll then be able to exercise a number of techniques to practice and optimize your financial extracts. I will cover the following processes:

1. Loading financial data to meet a range of user needs

2. Enhancing your extraction process to modify content

3. Defining delta management to effectively manage high volumes of data

Gilles Jaegy

Gilles Jaegy began his career at Hewlett-Packard in 1990 in Evry, France, as a software engineer. During his 13-year career at HP, Gilles has held multiple positions in IT including project lead in logistics and finance data warehousing, SAP BW development and implementation, technology services, software configuration management, and IT management. Gilles is currently responsible for the BW IT projects that benefit the Finance and Administration organization. Gilles attended the Institut d’Informatique d’Entreprise, Evry, France, and received a B.S. degree in computer science. He also attended the University of Santa Clara, California, where he earned an MBA with distinction.

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