10 data governance

Data Governance

Rules & Processes to build trust in data

Data Governance

Rules & Processes to build trust in data

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What is Data Governance?

Data governance is controlling the data and the rules that define control

On the very least this entails defining the following:

  • What is the purpose of the data?
  • Who (person of system) will use it?
  • What does this data enable?
  • Where did the data come from (manual entry, selection from control values, or data transfer)?
  • Where data transfer is anticipated, what are the data clean-up requirements?
  • Are there control values for this data? if not, why not?
  • What is an acceptable entry?
  • What is not an acceptable entry?
  • What format standardization is possible for this data?
  • Who enters data into this field?
  • W needs to approve the data entry?
  • When does this data get added and why is that timing important?
  • Who is responsible, accountable, for this quality of this data?
  • Who is authorized to change this data?
  • How is the change done?
  • Who will approve the change?
Why Data Governance matters?

Data governance enables confidence in the data and consequently confidence in the reports and analytics.  This impact is a confidence in the decisions made and the opportunities enabled because of this confidence.

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