The Value of Data Doctrines for Data Lake Governance

Organizations own a greater volume and variety of data today than ever before, and successful organizations use data to drive business decisions and maximize performance. Data Lakes have become an increasingly popular tool for harnessing immense amounts of available data due to their low data storage cost and their ability to adapt and grow with an organization. Research projects the global market value of data lakes, valued at almost $12 Billion USD in 2023, will grow to $90 Billion by 2033 at a compound Annual Growth Rate (CAGR) of 22% (1).

As the data lake market grows, so does the risk of data theft, misuse, and privacy concerns. The potential value of a data lake relies heavily on the quality of data governance practices, which organizations must carefully select to ensure secure, reliable and readily accessible data for users. A data doctrine documents these decisions to facilitate effective, ongoing data governance that is responsive to user and business needs.

Read more here: Jordan Brinkman on Medium.

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About the Authors

Jordan Brinkman is a Consultant within DayBlink Consulting’s Applied Automation Group.

Michael Morgenstern is a Partner and Practice Lead for DayBlink Consulting’s Applied Automation Group.