data governance

The initial step in the implementation of a data governance program involves defining the owners or custodians of the data assets in the enterprise. A policy must be developed that specifies who is accountable for various portions or aspects of the data, including its accuracy, accessibility, consistency, completeness, and updating. Processes must be defined concerning how the data is to be stored, archived, backed up, and protected from mishaps, theft, or attack. A set of standards and procedures must be developed that defines how the data is to be used by authorized personnel. Finally, a set of controls and audit procedures must be put into place that ensures ongoing compliance with government regulations.

Getting started with data governance

To explore how data governance is used in the enterprise, here are some additional resources:

Data quality management and governance tutorial: This is a complete guide to data quality management concepts, strategies and technologies. Get best practices and technology considerations for maintaining accurate, current and concise data.

Master data management must start with data governance: An effective MDM project starts with managing people and processes, including data governance. The technology is secondary.

Data governance: How to get started and find success: Data governance, or lack thereof, can make or break enterprise programs. Learn data governance program success factors and get advice in this podcast with expert Jill Dyché.

Why data governance projects fail: Expert Rick Sherman discloses the top reasons why 90% of data governance projects are doomed for failure.

Read more about data governance: - Duffie Brunson writes about "Data Quality and Data Governance: The Basics." - Dennis Wenk and Christophe Bertrand discuss data governance. - The Data Governance Blog covers issues related to running a successful data governance program.

Do you have something to add to this definition? Let us know. Send your comments to techterms@whatis.com

Digg This!     StumbleUpon     Del.icio.us

RELATED CONTENT Data quality buoys U.S. Naval Institute Data quality software helped the U.S. Naval Institute clean up customer data, improve member services, reduce wasted time and save money. Best practices for designing and implementing sustainable, long-term data quality programs Learn best practices for designing and implementing data quality management programs. Effective data quality program management: Tips and advice Learn how to structure data quality management programs, how to deal with data quality program challenges and more.

RELATED GLOSSARY TERMS Terms from Whatis.com − the technology online dictionary data  (SearchDataManagement.com) In computing, data is information that has been translated into a form that is more convenient to move or process. In other contexts, data has... data quality  (SearchDataManagement.com) In computing, data quality is the reliability and application efficiency of data, particularly when kept in a data warehouse. Data quality assurance...