A Continuous Delivery Framework for Business Intelligence

  • Mikko Puonti
  • , Juha Järvi
  • , Tommi Mikkonen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

In the context of business intelligence, data warehousing is often perceived as an integral component of concrete business intelligence solutions. Since the nature of a traditional data warehouse is accumulative – data from operational systems is fed in to the system when it is ready for inclusion – and as the data from different component systems is interrelated, operations involving data warehouses have been traditionally considered tedious and delicate. Distinct steps take place one after another in a predefined, next to unalterable sequence. In this paper, we present an alternative model for dealing with data warehouses, where the goal is to apply principles of continuous software engineering in the domain of business intelligence. To validate the methodology, we present a tool chain that has been used in a real-life implementation of a business intelligence solution, together with experiences from its operations.
Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXIX
PublisherIOS Press
Pages248-262
Number of pages15
Volume301
ISBN (Electronic)978-1-61499-834-1
ISBN (Print)978-1-61499-833-4
DOIs
Publication statusPublished - Jan 2018
Externally publishedYes
Publication typeA4 Article in conference proceedings

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume301
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Keywords

  • business intelligence
  • continuous delivery
  • data warehouse
  • process framework

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