This document provides a checklist of best practices for data governance. It recommends building a business case to identify benefits of data quality, tracking progress through metrics like data quality scores and adoption rates, ensuring the IT infrastructure and tools that underlie the data governance framework are well-managed, identifying data stewards early on to effectively control data assets, communicating effectively with stakeholders about the program's goals and benefits, and creating a detailed roadmap to establish data governance as an ongoing practice rather than a one-time project.

1. Data Governance
C H E C K L I S T
Best Practices of
01
Build a business case to identify the
benefits and opportunities that data
quality will bring to the organization such
as increased revenue, better customer
experience & efficiency.
02
Track progress of your data governance
framework through some commonly used
metrices like- Data quality scores,
adoption rates, data rectification costs.
03
Ensure your organization’s IT
infrastructure, tools & architecture are
well-managed as they are the backbone of
any data governance framework, lack of it
can be the underlying cause of various
issues.
04
Identify data stewardship during early
stages to ensure effective control and use
of data assets.
05
Effective communication is critical for
data governance program as it involves
people in it and they should be well
communicated prior that what’s in it for
them and why it’s important to govern
data, this will make them understand
better and will help them support.
06
Create a practice mindset of data
governance by having a detail roadmap as
it is very important to understand that it is
a fundamental change and not a one-time
project.
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