State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

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 ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

Data governance is how an organization builds the foundation for everything it wants AI to do. That foundation must belong to ...

Unlock the potential of your data with this insightful white paper. It delves into the world of enterprise data modeling, showcasing how it not only drives business value but also forms the bedrock of ...

China's data exchanges traded 87.7B yuan in 2022, projected to hit 515.6B by 2030. Its Digital Silk Road exports governance with infrastructure. The GDPR has no equivalent.

China is advancing a state-directed data governance model that treats data as a national economic resource, building exchanges, infrastructure, and exportable frameworks through its Digital Silk Road.

Data governance defines the policies data management acts on. Learn more about data governance and data management and how they work together to develop business insights. One of the defining features ...

DEFA builds on the ASEAN Digital Integration Framework, among other ASEAN policy milestones, which recognizes digital integration as a “critical enabler” for ASEAN to compete more effectively in the ...

Malcolm Hawker is Head of Data Strategy at Profisee. Thought leader in the Data Strategy, Master Data Management and Data Governance fields. Exercise and good nutrition. Getting a good night's sleep.

Data governance is an umbrella term encompassing several different disciplines and practices, and the priorities often depend on who is driving the effort. Chief data officers, privacy officers, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...