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A framework for evaluating the analytic maturity of an organization

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  • Grossman, Robert L.

Abstract

We introduce a framework called the Analytic Processes Maturity Model (APMM) for evaluating the analytic maturity of an organization. The APMM identifies analytic-related processes in six key process areas: i) building analytic models; ii) deploying analytic models; iii) managing and operating analytic infrastructure; iv) protecting analytic assets through appropriate policies and procedures; v) operating an analytic governance structure; and vi) identifying analytic opportunities, making decisions, and allocating resources based upon an analytic strategy. Based upon the maturity of these processes, the APMM divides organizations into five maturity levels: 1) organizations that can build reports; 2) organizations that can build and deploy models; 3) organizations that have repeatable processes for building and deploying analytics; 4) organizations that have consistent enterprise-wide processes for analytics; and 5) enterprises whose analytics is strategy driven. The APMM is broadly based upon the Capability Maturity Model that is the basis for measuring the maturity of processes for developing software.

Suggested Citation

  • Grossman, Robert L., 2018. "A framework for evaluating the analytic maturity of an organization," International Journal of Information Management, Elsevier, vol. 38(1), pages 45-51.
    • Handle: RePEc:eee:ininma:v:38:y:2018:i:1:p:45-51
    DOI: 10.1016/j.ijinfomgt.2017.08.005
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    Cited by:

    1. Rajesh Chidananda Reddy & Biplab Bhattacharjee & Debasisha Mishra & Anandadeep Mandal, 2022. "A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy," Information Systems and e-Business Management, Springer, vol. 20(1), pages 223-255, March.
    2. Calvard, Thomas Stephen & Jeske, Debora, 2018. "Developing human resource data risk management in the age of big data," International Journal of Information Management, Elsevier, vol. 43(C), pages 159-164.
    3. Tursunbayeva, Aizhan & Di Lauro, Stefano & Pagliari, Claudia, 2018. "People analytics—A scoping review of conceptual boundaries and value propositions," International Journal of Information Management, Elsevier, vol. 43(C), pages 224-247.

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