Case Study

Data Management Capability Assessment Model



U.S. Bank Cooperative


Data Management & Governance

Project Overview

The Client’s senior leadership sought a framework to provide an industry benchmark for the maturity of the bank’s Data Management Program. Reference Point conducted a Data Management Capability Assessment Model (DCAM) across the Bank to document and evaluate the maturity of data capabilities against industry best practice. The assessment evaluated a range of data components that define what is necessary to develop, implement, and sustain a Data Management Program. It also provided a baseline for assessing the client’s data management maturity level relative to industry competitors. 


  • •Reference Point deployed a team of subject matter experts and experienced consultants, with targeted expertise in data management, to develop and administer a Data Management Capability Assessment Model (DCAM). DCAM allowed for the evaluation of the bank across a broad range of industry best practices and for a gap analysis across capabilities necessary to successfully drive Data Management (DM).
  • Reference Point's administration of the model addressed core components including DM Strategy & Business Case, DM Program & Funding Model, Business & Data Architecture, Data & Technology Architecture, Data Quality Management, Data Governance, and Data Control Environment.
  • By completing the assessment, Reference Point identified critical gaps in the Data Management Program and developed targeted work packages, aligned to a Data Management Roadmap, to help the Data Office prioritize initiatives.


  • Baselining the bank's Data Management maturity streamlined the Client's processes to identify and prioritize areas that needed focused work to improve Data Management practices.
  • Reference Point assisted the bank in developing a Data Management improvement roadmap with prioritized work-packages which showcased the incremental value of each transition state along the capability spectrum as the Data Management program matured via the DCAM framework.
  • DCAM provides a benchmark for the bank to compare progress against industry best practices as the program matures through the completion of initiatives outlined in the Data Management Roadmap.
  • Based on the benefits realized by conducting the DCAM assessment, the bank decided to conduct a yearly DCAM maturity assessment, and the bank incorporated maturity Key Performance Indicators to track progress as part of their metrics framework.

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