DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

Data quality management efforts — tied to disrupting innovations, rapid market shifts and regulation pressures — will continue to grow in 2023 and take on a more dominant role in the data management ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As data sources and volumes grow exponentially year by year, we are seeing an increasing ...

This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter’s approach. Software asset management (SAM) ...

The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

Data quality management is a crucial part of any data integration process. It may be considered the first step to the integration process, as quality data is the key to achieving profitable insights.

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. All of our activity on data management best practices has now been ...

In today’s data-driven economy, reliability is the true differentiator. It’s no longer enough to deliver data; we must ...

Data is the foundation of innovation, agility and competitive advantage in today’s digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to ...

In recent years, there’s been an explosion of tools that allow businesses to connect, transform, analyze and serve data from all kinds of sources. Combined with the increasing pressure on businesses ...