A review and future direction of agile, business intelligence, analytics and data science
A review and future direction of agile, business intelligence, analytics and data science
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.
agile methodologies, business intelligence (BI), analytics and big data, lifecycle for BI and big data
700-710
Larson, Deanne
0769a4bf-0088-43c8-b0ca-f0b9a49d3579
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
October 2016
Larson, Deanne
0769a4bf-0088-43c8-b0ca-f0b9a49d3579
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Larson, Deanne and Chang, Victor
(2016)
A review and future direction of agile, business intelligence, analytics and data science.
International Journal of Information Management, 36 (5), .
(doi:10.1016/j.ijinfomgt.2016.04.013).
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.
Text
direction_of_agile_BI_analytics_big_data.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 16 April 2016
e-pub ahead of print date: 6 May 2016
Published date: October 2016
Keywords:
agile methodologies, business intelligence (BI), analytics and big data, lifecycle for BI and big data
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 392806
URI: http://eprints.soton.ac.uk/id/eprint/392806
ISSN: 0268-4012
PURE UUID: b35018e4-d3d0-45b4-9c26-a61ee4b54cc1
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Date deposited: 16 Apr 2016 19:15
Last modified: 15 Mar 2024 05:29
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Contributors
Author:
Deanne Larson
Author:
Victor Chang
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