Survey on agile implementation of the BI systems

Research output: Contribution to journalArticlepeer-review

Abstract

Business intelligence (BI) is a technique that helps organisations to effectively analyse, manipulate and store data. It takes historical and present data from various sources and presents the data to the users anytime, anywhere to help them make smart and effective decisions. However, the cross functional nature of BI systems that covers the length and breadth of the organization, pose an issue with effective implementation. Various Traditional methodologies have been used to implement BI systems however have encountered countless failures leading the practitioners to look up to Agile methodologies to overcome the shortcomings. Since different companies have different requirements, out of the box Agile solutions do not address the requirements effectively. As a result, use of Agile methodologies for BI implementation also face lot of issues. To justify this claim we conducted a survey of agile practitioners doing BI implementation. This paper aims at presenting the findings of the study focused on identifying the gaps in implementing BI systems using Agile methodologies. It also presents the results for the survey conducted to capture the methodologies used by the organisations and practitioners and issues in BI implementation. In future, this captured information would be utilised into formulating a framework that can work along with Agile methodology to help address the issues faced with Agile methodologies for BI Implementations.
Original languageEnglish
Pages (from-to)898-903
Number of pages6
JournalInternational Journal of Engineering & Technology
Volume7
Issue number4.38
Publication statusPublished - 2018

Open Access - Access Right Statement

© 2018 Authors. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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