New release adds global database connections, logical datasources, relational validation and flexible inspections to ...
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 ...
In today's world, data is an essential resource for businesses of all sizes. Collecting, analyzing and using data to make informed decisions is critical to success in many industries. However, with ...
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 ...
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 disorder determines whether AI produces measurable value or simply adds another layer of complexity. Leaders who confront fragmentation now can scale more confidently and extract greater return ...
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 ...
Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.
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 ...
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