Understanding the Harmony of Data Governance and Data Management

In my previous writings, we explored the importance of valuing data as a business asset and crafting a smart data strategy aligned with overall business goals. Now, let's explore into the key aspects of data governance and differentiate it from data management.

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It's important to note that data governance and data management collaborate. Starting with Data Management, it handles day-to-day data tasks like storage, security, quality, and metadata management. On the flip side, data governance focuses on planning, monitoring, and ensuring proper data management. It guides how people and processes should interact with data, with oversight through various activities like committees and tools, checking if desired outcomes from data initiatives have been achieved.

?A significant difference is that data governance is a strategic approach, while data management is a practical, day-to-day practice.

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Summing it up:

Data Governance vs. Data Management:

While closely linked, they differ in scope. Data governance looks at the big picture – the why, what, and who of data. Data management is more hands-on, focusing on the how, when, and where of data. Data governance provides direction, while data management delivers practical results.

In simpler terms, data governance involves owning and caring for data, ensuring it's treated as a valuable asset. Data management includes daily activities defining, controlling, supervising, and improving how data is handled. Together, they are crucial for organizations to use data effectively and succeed strategically.

In conclusion, my experience taught me that understanding how data governance and management work together is crucial. Your journey might differ, and that's the beauty of data governance in my opinion ??.