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 ...

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 ...

New release adds global database connections, logical datasources, relational validation and flexible inspections to ...

Data access empowerment operating models enable public health leaders to make timely, informed decisions with trusted intelligence and faster insights.

Real-world healthcare data architecture lessons from a data engineer who built large-scale Medicaid and insurance ...

Together, these three visual and methodological perspectives do not merely coexist; they form a holistic constellation.

In every industry, leadership teams are under pressure to deliver consistent growth in unpredictable conditions. Markets ...

Without proper data governance, interoperability, and access control, enterprises have no hope of maximizing the business value of their data. “It’s all about the data!” has been the battle cry for ...

Data scientists and technologists responsible for data governance, engineering, and integration should look for opportunities to use data analytics and AI for strategic decision-making. Finance, ...

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 ...

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 ...

Many organizations today are overwhelmed by vast amounts of data from diverse sources, such as consumer interactions, market trends and operational processes. Mastering data management and analysis is ...