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Data Governance Strategy

Improve roadmap planning process with David Bowman’s information management guidelines for data governance strategy

This site is designed for Information Technology professionals who need to improve roadmap planning process and require guidance and direction to help teams consistently produce error free results.

It provides a checklist of information management guidelines for data data governance assessment.

What is Data Governance?


Data Governance is a key element of an information management strategy and is based on the principle that data should be managed as a corporate asset. 

Data stewards play a pivotal role in building and managing data governance and for ensuring the effective use of information.

Data Governance Assessment Process

Should determine the organizational readiness for data governance strategy by comparing the current situation with the following checklist of information management guidelines.

Stewardship Role and Process
  • Should have a well defined data stewardship organization;
  • Should have clearly defined roles and responsibilities within Information Technology and business areas; and
  • Should have a well understood process established.
Data Quality Approach
  • Should have a mechanism to measure data quality;
  • Should have defined data quality service levels;
  • Should have an established process for error detection and periodic data quality reviews; and
  • Should have a process to ensure referential integrity.
Business Rule Management
  • Should have a clear understanding and differentiation between business rules and Information Technology focused data transformation rules;
  • Should ensure that users participate in maintaining the business rules;
  • Should have a central repository for business rules;
  • Should provide a mechanism to integrate business rules; and
  • Should have a data dictionary with up-to-date business rules.
Data Quality Issues
  • Should have tools to track and manage the data quality process;
  • Should track and share knowledge about historical data quality issues; and
  • Should have an automated mechanism to track and share data quality issues.
Data Profiling, De-Duping, Matching

Should have technology to automate de-duplication and matching
Data Standardization

Should utilize technology for data standardization and validation function where appropriate

Data Steward Roles and Responsibilities
  • Should be responsible for defining, integrating, cleansing and synchronizing data from multiple sources;
  • Should monitor data quality and takes corrective action when necessary; and
  • Should be responsible for intervening in, and facilitating the resolution of customer data management issues, such as conflicting data definitions, ownership, usage, etc.
Summary...

Data Governance is a key element of an information management strategy and is based on the principle that data should be managed as a corporate asset. 

This site provided a checklist of information management guidelines for data data governance assessment.