Explanation of exceptional values in multi-dimensional business databases

Research output: ThesisDoctoral Thesis

Abstract

Multidimensional databases or OnLine Analytical Processing (OLAP) databases are a popular business intelligence technique in the fieeld of business information systems for analytics and decision support. Multi-dimensional databases are capable of capturing the structure of business data in the form of multi-dimensional tables which are also known as data cubes. Manipulation and presentation of information through interactive multi-dimensional tables and graphical displays provide important support for the business decision-maker. The main goal of this dissertation is to extend the functionality of multi-dimensional business databases with diagnostic capabilities
to support managerial decision-making". In this dissertation, the OLAP database
is indeed extended with novel functionality for the detection of exceptional values, explanation generation, and sensitivity analysis. The purpose of the methods and algorithms presented here, is to provide OLAP databases with more powerful explanatory analytics and reporting functions.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Rotterdam School of Management (RSM)
Supervisors/Advisors
  • Daniels, Hennie, Promotor
  • Hendrikse, G.W.J., Promotor, External person
Award date14 Nov 2013
Place of PublicationRotterdam
Publisher
Print ISBNs978-90-5892-345-5
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Business Intelligence
  • Business Analytics

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