Paper Info
Title
BIIIG: Enabling business intelligence with integrated instance graphs
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.
Year
DOI
Venue
2014
10.1109/ICDEW.2014.6818294
Data Engineering Workshops
Keywords
Field
DocType
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
Artifact-centric business process model,Management information systems,Data mining,Graph,Computer science,Business activities,Master data,Business intelligence,Business rule,Database,Graph (abstract data type)
Conference
Citations 
PageRank 
References 
10
0.54
14
Authors
4
Name
Order
Citations
PageRank
André Petermann1516.17
Martin Junghanns2505.48
Robert Müller38229.66
Erhard Rahm47415655.09