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 ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

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, ...

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 ...

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 ...

The Data Analysis Software Market was valued at USD 300 billion in 2024 and is projected to reach USD 500 billion by 2033, growing at a CAGR of 7.2% during the forecast period from 2026 to 2033. This ...

The Data Warehouse Automation Software Market is driven by the growing need to accelerate data integration, reduce manual development efforts, and improve data accuracy. Increasing adoption of ...

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 ...