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 ...
Matt is an associate editorial director and award-winning content creation leader. He is a regular contributor to the CDW Tech Magazines and frequently writes about data analytics, software, storage ...
Opinion
Precisely Consolidates Master Data Management with Data Governance to Power Advanced Analytics
Precisely, the global leader in data integrity, is enhancing its EnterWorks software, integrating master data management (MDM) with the Data Governance service in the Precisely Data Integrity Suite.
Data privacy is a necessity for K–12 schools, especially when managing student records around academic performance, attendance and health information. But data governance is also an essential ...
eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data governance refers to the people, processes, and ...
A new report from the National Association of State Chief Information Officers examines the role of state chief data officer with perspective from 27 people occupying that position, on everything from ...
Explore the top data governance tools of 2025 designed to enhance data security, compliance and management. Data governance tools help organizations manage governance programs. Specifically, they help ...
Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...
Get the latest federal technology news delivered to your inbox. Agencies across the government, including in the White House, are planning for, procuring, building, or attempting to scale impact and ...
The promise of GenAI is often hindered by a fundamental and frequently overlooked prerequisite—robust data governance.
The majority of AI projects fail – largely because of data quality issues. With AI rapidly becoming the key competitive ...
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