Does your existing data governance model align with your data and analytics strategies? 55% of data and analytics leaders surveyed reported the lack of standardized approach to data governance as the ...

Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...

Data Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

Last year, hackers broke into AT&T’s customer database, as documented in a report by the Mozilla Foundation, grabbing the phone records of almost all current and former customers—73 million in total. ...

A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...

“Data governance policy is a collection of principles, frameworks, programs, roles, and responsibilities that help manage data collection, storage, access, usage, quality, and archival of data assets ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

Collate, Inc., the Semantic Intelligence Platform and creator of the OpenMetadata project, today announced it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a ...

Any type of flawed data in your IT environment is considered "dirty" data. This could mean information that is inaccurate, outdated, incomplete or inconsistent. In 2016, IBM estimated (via Harvard ...

CU Boulder collects, uses and maintains a significant amount of data. This includes, but is not limited to student, employee, research and finance data. Institutional data supports CU Boulder’s ...