The document discusses the distinction between data governance and data management, with governance focusing on the enterprise's structures, policies, and processes while management involves technical implementations. Key benefits of data governance include enhancing data value, promoting transparency, and increasing organizational returns, while data management improves productivity and enables effective data reuse. The document also highlights essential processes and tools in master data management, such as cleansing, standardization, and data archiving.

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Data Management Vs.
Data Governance

2. INTRODUCTION
Data governance can be described as the
enterprise’s structures, rules, policies,
business terms, processes for an end to end
lifecycle of the data created starting from its
group to its storage and from its use to
protection. Data Management deals with the
technical implementation of data governance.
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3. Data Governance
Here are some of the important aspects that describe the job of a data
governance approach:
● People
● Policies and Rules
● Metrics
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4. Key Benefits of Data Governance
● Growing the worth of your enterprise data
● Endorsing transparency
● Increasing organization return
● Normalization procedures, data systems, and actions.
● Creating teaching and training about data
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5. Master Data Management
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Let's have a look at some of the processes and
tools of Master Data Management.
● Cleansing and Standardization
● Making and encryption
● Archiving and Deletion

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Key Benefits of Data
Management
● Improve your business productivity
● Reuse data management techniques
● Share important and valuable skills
● Minimum data movement

7. Conclusion
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Data governance needed for the
application is just only documentation.
organization data management allows the
administration and implementation of
procedures and guidelines.

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