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Critical Success Factors of Enterprise Data Analytics and Visualization Ecosystem: An Interview Study

Critical Success Factors of Enterprise Data Analytics and Visualization Ecosystem: An Interview Study

Mohammad Daradkeh
Copyright: © 2019 |Volume: 10 |Issue: 3 |Pages: 22
ISSN: 1938-0232|EISSN: 1938-0240|EISBN13: 9781522564881|DOI: 10.4018/IJITPM.2019070103
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MLA

Daradkeh, Mohammad. "Critical Success Factors of Enterprise Data Analytics and Visualization Ecosystem: An Interview Study." IJITPM vol.10, no.3 2019: pp.34-55. http://doi.org/10.4018/IJITPM.2019070103

APA

Daradkeh, M. (2019). Critical Success Factors of Enterprise Data Analytics and Visualization Ecosystem: An Interview Study. International Journal of Information Technology Project Management (IJITPM), 10(3), 34-55. http://doi.org/10.4018/IJITPM.2019070103

Chicago

Daradkeh, Mohammad. "Critical Success Factors of Enterprise Data Analytics and Visualization Ecosystem: An Interview Study," International Journal of Information Technology Project Management (IJITPM) 10, no.3: 34-55. http://doi.org/10.4018/IJITPM.2019070103

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Abstract

With the huge proliferation of Big Data, combined with the increasing demand for analytics-driven decision-making, the data analytics and visualization (DAV) ecosystem is increasingly becoming a trending practice that many enterprises are adopting to gain actionable insights from corporate data for effective decision-making. Although DAV platforms have tremendous benefits, extant research has paid insufficient attention to the investigation of the critical success factors (CSFs) underpinning their successful implementation in enterprises. In order to bridge this knowledge gap, this study presents an integrative framework synthesizing a set of CSFs for implementing DAV platforms in enterprises. A qualitative research methodology, comprising semi-structured interviews with IT and business analysts, was conducted to collect and analyze the interview data. Analysis of results revealed that the CSFs of DAV implementation exist in various dimensions composed of organizational, technological, process, and people perspectives. This study provides several theoretical and practical implications.

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