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 ...

Effective data modeling enables value creation, efficiency gains, risk reduction, and strategic alignment in an environment of uncertainty and disruption. At Data Summit 2026, Pascal ...

Board members and senior executives are reassessing data governance and risk management at the enterprise level, citing five ...

Another challenge arises from the pace of modern data environments. Cloud platforms, streaming pipelines and self-service analytics tools allow teams to create new datasets quickly. While this agility ...

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 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.

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.

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.

While it’s important to implement processes and procedures that safeguard data security and privacy, you can also focus on more strategic data governance goals. An organization’s data is one of its ...

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 ...

Opinion: AI assets should be treated as operationally material technology that requires validation before closing any merger.