Data governance is the process of managing the availability, usability, integrity, and security of an organization’s data. Effective data governance requires a structured approach that covers data ...

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

Dobi is the Co-Founder at LUMIQ, a Data & Analytics Company with expertise in delivering Data-led Projects for FSI Industry. In the dynamic currents of today's business world, organizations are ...

In today’s data-driven world, organizations rely heavily on data to inform their decision-making processes. However, the effectiveness of these decisions hinges on the quality of the data being ...

Supporting SMEs in 2026, BDSLCCI introduces new cybersecurity features and governance guidelines for safer business operations. Cybersecurity is essential for every business, regardless of its size, ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

Precisely has completed the FedRAMP authorisation process for its Data Integrity Suite for Government, Data Governance Service.  The product started the ...

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...

A coalition of accounting educators and tech leaders, drawing on the contributions and input of over 1,000 practitioners and academics, has released a generative AI governance framework to provide a ...

Forbes contributors publish independent expert analyses and insights. The path to enterprise AI maturity runs directly through data. However, constructing AI-ready data platforms is more than just a ...