Chapter 7. Data Governance
This chapter introduces the primary components of data governance and provides program guidance and framework examples to help you implement a data governance initiative. The content will enable you to use the frameworks as a starting pointâyou will need to adjust and amend the program to your organizationâs culture and important data-oriented business objectives. Consult Data Governance: The Definitive Guide by Evren Eryurek et al. (OâReilly) for detailed and comprehensive coverage of data governance.
This chapter is intended to provide basic data governance awareness and foundational concepts that will help you understand the role data governance plays in data quality engineering.
Do any of the following data issues sound familiar?
Bad data is feeding applications.
Inaccurate analytics, trade failures, and cash flow errors.
Too many databases and data sources, prompting questions such as: Which should we use? Where is the right data? Where is our data inventory? Where did this data come from?
Inconsistent data is presented to clients.
Which data is approved for your use? When is the right data ready for you to use?
Historical data does not link together over time.
Development environments contain data that is easier to use, even though it is stale. You need the data, so you guess it is good enough.
The number looks too high, too low, or wrong. You need to manually investigate, research, and verify.
Are you getting good data from vendors? ...
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