Abstract: Measures of analytics maturity in companies and organizations often include a reference to culture, but do not go further than a surface-level examination. The relationship between occupational cultures—that is, the work styles of various divisions within an organization—and analytics maturity is not known. The purpose of this quantitative correlational study was to examine the relationship between occupational culture and data analytics maturity. The problem addressed in the study is that the relationship between occupational culture and data analytics maturity has not been identified. Quantitative methods were used to identify occupational cultures within organizations using the Competing Values Framework (CVF) quadrants, rank priorities and challenges, and quantify data analytics maturity. Enough significant relationships were found within the companies that participated in the study to suggest that the differences within occupational groups impact a company’s data strategy, analytics maturity, and adoption readiness. These results demonstrate the need to consider occupational cultures when assessing an organization’s data analytics maturity. Simply declaring a company’s overall culture is not sufficient. Companies are not monolithic cultures, and any assessment of analytics maturity must take these differences into account.
Download this article: JISAR - V16 N2 Page 28.pdf
Recommended Citation: Fowler, J., Sambasivam, S., (2023). Measuring Analytics Maturity and Culture: The LDIS+™ Analytics Impact Framework. Journal of Information Systems Applied Research16(2) pp 28-41. http://JISAR.org/2023-2/ ISSN : 1946 - 1836. A preliminary version appears in The Proceedings of CONISAR 2022