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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/10687
Title: Dimensions influencing business intelligence and analytics maturity: a critical analysis
Authors: Tikoria, Jyoti
Keywords: Management
Business Intelligence
Business analytics
Maturity
Big Data
Capability maturity
Issue Date: May-2021
Publisher: Inder Science
Abstract: The importance of business intelligence and analytics (BI&A) as a capability in an organisation has grown over the years. In order to assess the state of BI&A, managers today need to identify the critical dimensions which influence the maturity of BI&A capability. A wide range of maturity models (MMs) have been developed, for the purpose of assessment of BI&A capability maturity. Managers may find it difficult to select the appropriate MM to use especially with the changing characteristics of data over time and advent of big data. Each of these models has multiple dimensions which are not necessarily exhaustive and distinct. This study consolidates the large number of dimensions found across 29 BI&A MMs in extant literature. With help of an expert panel, a set of six distinct and critical dimensions needed for assessing BI&A capability in organisations have been identified. Qualitative research tool NVIVO is used for analysis of the research articles.
URI: https://www.inderscienceonline.com/doi/abs/10.1504/IJBIS.2021.115375
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10687
Appears in Collections:Department of Management

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