Abstract
This teaching case documents the digitization and data analytic maturity journey of a financial conglomerate of five distinct companies. Each with its own data needs, data priorities, data silos, governance requirements, and enterprise systems. The protagonist is charged with the task of aligning the companies to a single data strategy and fostering a data-driven culture. Progress is made as evidenced by the implementation of a rule-based engine system to address fraud, a data warehouse to improve business intelligence as well as improvement in the Gartner data analytic maturity level. Despite these technical successes the journey continues as the group seeks to address data quality and governance issues, increase data literacy, entrench a data-driven culture as well as move to the next Gartner data analytic maturity level.
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