The more information we all collect and retain, the bigger the challenges get, particularly when so much business data is ...

The choices for how to structure geospatial data governance roles and responsibilities can seem daunting. One thing for certain, however, is that leaving key roles unfilled or unrealized will ensure ...

As enterprises rush to bring AI into business processes, data analytics is near the top of most of their wish lists. Injecting AI into data analytics promises benefits that range from improved cost ...

Jeffrey Solomon, the vice president and general manager of LegalView BillAnalyzer at Wolters Kluwer, discusses the issues standing in the way of sound AI adoption for legal departments. There are ...

Data governance (DG) is a component of data management that focuses on managing access, use, quality and security of enterprise data. Data management in a data governance program is based on internal ...

Recently, high-profile breaches and cybersecurity failures have brought data governance and security to the forefront. Separately from these incidents, regulators have also applied growing scrutiny to ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

As organizations continue to rely on data to make key business decisions, they must establish a robust data management plan to ensure that data across their organization is handled consistently and ...

Data governance is a tough topic, one Jonathan Reichental tackles in his new book in an extremely approachable manner. The new book, "Data Governance for Dummies," hit bookshelves on Dec. 8. In it, ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

Pave reports that while AI prompts job cuts, it's also creating roles in data governance, internal audit, and information ...

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Data quality management is a crucial aspect ...