In the world of “data everywhere”, Data Governance is becoming even more important. Organizations that develop a data warehouse ‘single source of truth’ need data governance to ensure that a Standard Business Language (SBL) is developed and agreed to, and the various sources of data are integrated with consistent and reliable definitions and business rules. Decisions around who can use what data and validations that the data being used and how it’s used meets regulatory and compliance requirements are important.
As the enterprise data management solutions grow and broaden, incorporating Enterprise Application Integration (EAI), Master Data Management (MDM), increasing use of external data, real time data solutions, data lakes, cloud, etc. Data Governance is even more important. While there may be value in having data, if it’s not accurate, no-one can use it and it isn’t managed, then the value of the data, wherever it resides, diminishes greatly.
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