Date

9-2020

Department

Graduate School of Business

Degree

Doctor of Business Administration (DBA)

Chair

Melissa Connell

Keywords

Business Intelligence, Culture, Decision-making, Big Data, Machine Learning

Disciplines

Business | Computer Sciences

Abstract

Researchers have consistently shown that a supportive culture is one of the most crucial success factors in the implementation of any big data solution. Creating a culture that supports data-driven decision-making is a difficult but ultimately required step in transforming an organization into one that can readily and successfully adopt business intelligence technologies. The purpose of this qualitative case study was to understand the ways in which organizations can foster a culture of smarter decision-making and accountability so that businesses can improve operational metrics and ultimately profitability. Participants identified three major themes that drive the adoption of a data-driven culture. These themes included building trust between decision-makers and their data, developing a team-driven culture, and instituting data governance and standard work processes to maintain quality of systems.

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