Maximizing the Economic-Performance of Data Repositories: Configuring the Optimal Time-Span

Adir Even, G. Shankaranarayanan

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

Abstract

Corporate data-repositories within data-warehousing environments are extensively used for decision making and business intelligence applications. Managing the growing repositories involves high implementation and maintenance costs that are largely quantifiable. Conversely, the value-contribution of such repositories has rarely been quantified and organizations often debate whether the value-gained justifies the costs incurred. Building upon an optimization model proposed earlier, this study furthers our understanding of the value of data-repositories. Based on the premise that design choices associated with a data-repository affect its value-contribution and costs, this study explores formulations that model these effects. Such models are powerful tools for cost-benefit assessment of data-repositories and can direct economically-optimal design in data management environments. The model is demonstrated for configuring the optimal time-span for a data-repository.

Original languageEnglish
Title of host publicationAssociation for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006
Pages1371-1381
Number of pages11
StatePublished - 1 Dec 2006
Externally publishedYes
Event12th Americas Conference on Information Systems, AMCIS 2006 - Acapulco, Mexico
Duration: 4 Aug 20066 Aug 2006

Publication series

NameAMCIS 2006 Proceedings
Volume179

Conference

Conference12th Americas Conference on Information Systems, AMCIS 2006
Country/TerritoryMexico
CityAcapulco
Period4/08/066/08/06

Keywords

  • Business intelligence
  • Data management
  • Data-warehousing
  • Design
  • Information value
  • Optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Library and Information Sciences
  • Information Systems

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