Data governance can be difficult to get right: Many governance initiatives aimed at creating consistent data-related policies and processes within organizations fail to meet the expectations of their proponents and executive sponsors alike. Effective data governance typically requires a mix of business and IT participation, led by a governance council with representatives from across an enterprise. That creates the potential for a variety of mistakes and missteps if organizations aren’t prepared for the challenges.
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
To help you avoid the pitfalls and increase your governance IQ, TechTarget’s Business Applications and Architecture Media Group has put together this “data governance school,” with practical advice from IT professionals and industry analysts on setting up and managing governance programs. In the directory below, you’ll find links to expert tips and articles with best-practices guidance on data governance as well as data quality management.
SearchDataManagement.com Tip Guide: Data Governance Trends for 2011: Scorecards and Data Governance Tools
Gain insight on current data governance trends, and get advice on governance roles and responsibilities and how to justify proposed investments in data governance.
SearchDataManagement.com Tip Guide: How to get Senior Execs to buy into a data governance plan
Read analyst David Loshin’s prescription for selling corporate executives on the business value of data governance.
SearchDataManagement.com Expert Buyer's Guide: Choosing data quality tools and software
Learn about best practices for selecting data quality software, and get tips on winning approval for data quality projects and the pros and cons of open source data quality tools.
SearchDataManagement.com Expert Tip Guide: Data quality strategy Q&A with David Loshin
See what David Loshin has to say about the importance of high-quality information to organizations and how often a data quality strategy should be reviewed and updated.