A review and future direction of agile, business intelligence, analytics and data science

Deanne Larson*, Victor Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

309 Citations (Scopus)

Abstract

Agile methodologies were introduced in 2001. Since this time, practitioners have applied Agile methodologies to many delivery disciplines. This article explores the application of Agile methodologies and principles to business intelligence delivery and how Agile has changed with the evolution of business intelligence. Business intelligence has evolved because the amount of data generated through the internet and smart devices has grown exponentially altering how organizations and individuals use information. The practice of business intelligence delivery with an Agile methodology has matured; however, business intelligence has evolved altering the use of Agile principles and practices. The Big Data phenomenon, the volume, variety, and velocity of data, has impacted business intelligence and the use of information. New trends such as fast analytics and data science have emerged as part of business intelligence. This paper addresses how Agile principles and practices have evolved with business intelligence, as well as its challenges and future directions.

Original languageEnglish
Pages (from-to)700-710
Number of pages11
JournalInternational Journal of Information Management
Volume36
Issue number5
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • Agile methodologies
  • Analytics and big data
  • Business intelligence (BI)
  • Lifecycle for BI and Big Data

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