Data governance is the formulation of policy to optimize, secure, and leverage information as an enterprise asset by aligning the objectives of multiple functions. In this white paper, we will discuss an end-to-end approach to operationalize data governance using IBM InfoSphere.

  • Overall Approach
  • Develop your Data Governance
  • Establish Data Categories
  • Appoint Data Stewards
  • Identify Critical Data Elements
  • Build Data Standards
  • Create Data Quality Dashboards
  • Remediate Data Issues
  • Govern Analytical Models
  • Manage End User Computing
  • Stich Data Lineage
  • Implement Security and Privacy Standards
  • Govern the Lifecycle of Information
  • Set Up Data Sharing Agreements
  • Support Data Attestations
  • Create Data Governance Dashboards
  • Conduct Data Audits

Sunil Soares is the Founder and Managing Partner of Information Asset, a consulting firm focused on Data Governance, Big Data Governance, and Enterprise Data Management. He is the author of several books, including Selling Information Governance to the Business, Big Data Governance, and Data Governance Tools. For more information, please visit

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