Data Governance

Data Governance is a critical component of Enterprise Information Management. The implementation of effective Data Governance provides long term value to business stakeholders through data visibility, ownership, common understanding, rapid issue escalation / resolution, improved data quality, knowledge capture, process efficiency, and enhanced reporting. Our goal is to facilitate a common understanding of Data Governance objectives, and enable a successful Data Governance transition program. Once the desired level of Data Governance process maturity is achieved, we disengage. Data Governance is not something that an organization can outsource, it must be part of the organization’s "business DNA." Data Governance Best Practices:

  • The business team should be responsible for data ownership
  • The IT team should act as data enablers and provide tools and processes to the data stewards on the Business Team
  • Data standards and compliance are important, but ease of use and program adoption are more important; i.e. standards for data definition, issue management, change management, project approval, etc., should be easy to adopt and encourage compliance
  • Minimize the number of tools involved, and “keep it simple”
  • Spot checking for data quality often is better than heavyweight, complete audits that occur infrequently
  • Establish an Enterprise Data Governance Maturity Model, and identify the current level of maturity, as well as a reasonable roadmap for improvements
  • Promote a lightweight Information Portal strategy