Title :
BIIIG: Enabling business intelligence with integrated instance graphs
Author :
Petermann, Andre ; Junghanns, Martin ; Muller, Rudolf ; Rahm, Erhard
Author_Institution :
Dept. of Comput. Sci., Univ. of Leipzig, Leipzig, Germany
fDate :
March 31 2014-April 4 2014
Abstract :
We propose a new graph-based framework for business intelligence called BIIIG supporting the flexible evaluation of relationships between data instances. It builds on the broad availability of interconnected objects in existing business information systems. Our approach extracts such interconnected data from multiple sources and integrates them into an integrated instance graph. To support specific analytic goals, we extract subgraphs from this integrated instance graph representing executed business activities with all their data traces and involved master data. We provide an overview of the BIIIG approach and describe its main steps. We also present initial results from an evaluation with real ERP data.
Keywords :
business data processing; competitive intelligence; graph theory; information systems; BIIIG approach; ERP data; business information systems; business intelligence; data instances; data traces; graph-based framework; integrated instance graph; integrated instance graphs; interconnected data; interconnected objects; subgraph extraction; Business; Data integration; Data mining; Data models; Data warehouses; Databases;
Conference_Titel :
Data Engineering Workshops (ICDEW), 2014 IEEE 30th International Conference on
Conference_Location :
Chicago, IL
DOI :
10.1109/ICDEW.2014.6818294
