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Graph-based data integration and business intelligence with BIIIG by André Petermann; Martin Junghanns; Robert Müller; Erhard Rahm is a Computer Science article available to read on EtoBox.

What is Graph-based data integration and business intelligence with BIIIG about?

We demonstrate BIIIG (Business Intelligence with Integrated Instance Graphs), a new system for graph-based data integration and analysis. It aims at improving business analytics compared to traditional OLAP approaches by comprehensively tracking relationships between entities and making them available for analysis. BIIIG supports a largely automatic data integration pipeline for metadata and instance data. Metadata from heterogeneous sources are integrated in a so-called Unified Metadata Graph (UMG) while instance data is combined in a single integrated instance graph (IIG). A unique feature of BIIIG is the concept of business transaction graphs, which are derived from the IIG and which reflect all steps involved in a specific business process. Queries and analysis tasks can refer to the entire instance graph or sets of business transaction graphs. In the demonstration, we perform all data integration steps and present analytic queries including pattern matching and graph-based aggregation of business measures.

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Author

André Petermann; Martin Junghanns; Robert Müller; Erhard Rahm

Publisher

ACM

Published

2014

Language

EN

Field

Computer Science (Physical Sciences)