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Data Governance - Critical Success Factors

I recently read Marino's paper (2004) which addressed the critical success factors for data governance by addressing the the 10 corporate oversights, I summarize & explain some of the important points that I found useful:

  • Accountability & Strategic Accountability: The executive leadership has a clear mandate to drive data governance process.  This means roles and responsibilities for various people in the organization that are involved in the data governance process be accurately defined. 
  • Standards: Data standards needs to be established. Corporate Data is a valuable asset that needs caring & defining which means it made for a purpose and that purpose determines and drives value.
  • Embracing Complexity: Data stakeholders are the producers and consumers of data hence the data stakeholder management is a complex process as data itself. Processes need to be implemented taht collects, churns and distributes this data to the right stakeholders.
  • Choosing Strategic points of control: Controls need to be put in place to determine where and when the quality of data is to be assessed and addressed. 
  • Compliance monitoring: Data management policies and procedures need to be assessed periodically in order to ensure that the policies and procedures are being followed.
  • Metrics: Definition of outcome specific data quality metrics is important for measuring data governance success.
  • Cross Divisional Issue: The data governance structure must be designed so that it includes participation from all levels of the organization to reconcile priorities, expedite conflict resolution, and encourage the support of data quality
  • Senior Management follows suit: Leadership should not be excluded and should follow the rules of engagement laid out by the data governance model/framework or DG team
  • Training & Awareness: Data stakeholders need to be aware of the value of data governance. The importance of data quality, its benefits, values need to be communicated regularly. 
I added the last two in the list because from the political and perception standpoint these points are considered lightly and eventually become primary reasons for the failure of implementation of Data Governance in organizations. From personal experience I have seen small as well as big organizations becoming comfortable on the last two points during the implementation of a data governance framework.

Thoughts @ night,

Sam Kurien

Marinos, G 2004. We're Not Doing What? The Top 10 Corporate Oversights in Data Governance, DM Review, September, viewed 12 August 2010


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