wiki:public/20121014

Project: Adaptive Realtime KPI Analysis of ERP transaction data using In-Memory technology

Team: Prof. Dr. Rainer Thome, Dipl.-Kff. Patricia Kraft, Dr. Andreas Hufgard, Dipl.-Kfm. Fabian Krüger, Dipl.-Kfm. Ralf Knauer

Research institution: Julius Maximilian University Wuerzburg

Project Description:

The adaptable real-time analysis provides an answer to the greater complexity and size of advanced ERP systems (big data), and increased market demands for speed and quality of decision-related data. In-memory storage enables direct access to document or change data, and allows greater flexibility when selecting by date, organization and many other characteristics.

https://www.hpi.uni-potsdam.de/future_soc_lab/wiki/raw-attachment/wiki/public/20121014/639fc1545b.png

The project aim is to create a fully functional prototype of a realtime, interactive analysis environment for ERP data. This App, consisting out of views, procedures and reports, could then made available to interested industry partners running SAP HANA.

Last modified 6 years ago Last modified on Nov 30, 2012 9:26:15 AM

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