Paper Info
Title
Graph-based data integration and business intelligence with BIIIG
Abstract
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.
Year
DOI
Venue
2014
10.14778/2733004.2733034
PVLDB
Field
DocType
Volume
Artifact-centric business process model,Data mining,Metadata,Graph database,Business analytics,Computer science,Online analytical processing,Business intelligence,Graph (abstract data type),Database,Business rule
Journal
7
Issue
ISSN
Citations 
13
2150-8097
7
PageRank 
References 
Authors
0.62
9
4
Name
Order
Citations
PageRank
André Petermann1516.17
Martin Junghanns2505.48
Robert Müller38229.66
Erhard Rahm47415655.09