6 core things to look for when defining Data Governance Capabilities.
Not all data platforms are created equal. When determining where to start with a Data Governance initiative there is a logical and practical way to determine where you need to focus your attention.
Great article from phData that summarises the core tenants of any Data Governance framework.
As data platforms mature, the impact of not having specific components of a Data Governance program becomes more and more important. On the other hand, over-engineering a Data Governance program can slow down progress and limit business value. The key is balance.
Authentication & Authorization: Ensuring the right users have the right access to the
right data.
Information Architecture: Focuses on organizing, structuring, and labeling data
effectively and sustainably.
Provisioning and Rights Management (Data Stewards & Data Asset Definitions):
Supplying data to users to ensure high data quality and a clear understanding of
data assets.
Data Catalogue and Classification: Providing data summaries and metadata for easy
access and understanding.
Data Lineage: Understanding the impacts of changing source systems and the
downstream effects
Data Mastering: Set of defined activities to specify a single source of truth across the
enterprise for all data required to run the business.
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