What is data governance?

 

Data governance is nothing but controlling how data is created, transferred, accessed while ensuring data completeness, consistency, integrity and security.

Data governance board will have different roles who work with predefined industry standard policies and procedures.

Some companies makes it mandatory to get the data governance broad approvals every time

·        New data elements/attributes created (To ensure, metadata standards are followed and these new attributes actually new not duplicates some other attributes , new data access is restricted only to people who need it etc.)

·        New data exchange or new interface to be implemented (to ensure data transfer is in compliance with regulatory and company policies)

·        New application development (all the data models should be approved by data governance board)

·        Decommission of existing application (To ensure, important information is not lost)

·        Using production data for testing (to ensure, personal information attributes are properly masked)

Data Governance board will have following roles

·        DBAs

o   Provide guidance on creating new data, data access control, data modeling, metadata creation etc.

·        Data Stewards (data owners)

o   Ensures data creating and management is in accordance to the business needs. Highlights critical attributes where more attention required. Creates business glossary, reviews the data quality score cards produced by data quality analysts, etc..

·        Data Quality Analysts

o   Do the data profiling, highlight data quality issues and record DQs in the backlog and work with data stewards to priorities the DQs.. Create data quality score cards, data cleansing rules and business transformation rules etc..

·        Data integration Lead

o   Data Integration lead works with Data Quality Analysts, DBAs and sometimes  with data stewards in order to translate the data integration, data interfacing and data validation business requirements to technical specification

o   Investigate and resolve cross application/cross functional data integration issues

o   Develop solutions based on data analysis to increase business efficiency.

o   Develop integration strategy (ex. ELT or ETL)

o   Normally an application/solution architect or a technical lead will play as data integration lead role in data governance board and is responsible for implementing the business requirement with scalability, portability, security, reusability as basis for technical solution.

·        Leads managing the  Data Governance board

o   Organize frequent meetings with team and monitor the work