Design, Management, and Customization of Data Analysis Reference Models Using Indyco Builder and XQuery

Activity: Talk or presentationContributed talkunknown

Description

The design and implementation of analytical information systems requires both technical expertise and domain knowledge, the complexity of which often deters small and medium-sized enterprises from adopting business intelligence (BI) technology. Reference models for data analysis consist of domain-specific best-practice multidimensional models and greatly facilitate the development of analytical information systems. Definitions of business ratios, business terms, and frequent analysis situations are valuable additions to data analysis reference models which further lower the barriers that inhibit non-experts from using BI technology. Companies may then customize reference models to their specific needs. We demonstrate an approach which allows BI consultants, in collaboration with non-experts in BI technology, to employ off-the-shelf software for the design, management, and customization of data analysis reference models. We adopt Indyco Builder, a visual editor for dimensional fact models, for multidimensional reference modeling and provide a set of XQuery modules for the management and customization of the authored reference models.
Period08 Sept 2016
Event title20th IEEE International Enterprise Distributed Object Computing Conference - Workshops and Demonstrations, September 5-9, 2016, Vienna, Austria
Event typeConference
LocationAustriaShow on map

Fields of science

  • 102028 Knowledge engineering
  • 102016 IT security
  • 102027 Web engineering
  • 502050 Business informatics
  • 503008 E-learning
  • 102 Computer Sciences
  • 102030 Semantic technologies
  • 102033 Data mining
  • 102010 Database systems
  • 102015 Information systems
  • 102025 Distributed systems

JKU Focus areas

  • Management and Innovation
  • Computation in Informatics and Mathematics