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Data governance

Posted on July 22nd, 2016 by Sanjit Anand ||Email This Post Email This Post

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Data governance is not a technology or a system but a set of processes and the organizational structure that governs the usage of all data assets of an enterprise.

Data governance represents the convergence of data quality, data management, data policies,business process management, and risk management surrounding the handling of information as an asset within the enterprise. Through data governance, organizations can exercise positive control over the processes and methods used by their data stewards and data custodians to handle
data.

A data governance framework has the following characteristics around the data:

  • Includes definitions of term, metrics, items, customers and related elements (Structure)
  • Distinguishes dimension values from the analytics of hierarchy definition (Structure)
  • Makes/collects/aligns rules (Process)
  • Assigns accountabilities to resolve issues (Process)
  • Organizes data stewards and governance bodies (People)
  • Monitors/enforces compliance while providing ongoing support to and change management for broad stakeholders (Architecture)

A Data Governance program does the following:

  • Provide a framework for definition of enterprise business entities that must be shared across various business units.
  • Define the process and workflow for identification, reporting, escalation, and resolution of data related issues.
  • Providing a forum for all communication related to data across the enterprise
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