Computers have been around for more than 100 years: From the introduction of tabulation machines by the company that became IBM, followed by minicomputers from companies like Digital Equipment ...

Research institutions face growing challenges managing large and complex datasets: Data volumes are increasing in size, variety, and velocity, while traditional, ad hoc data management practices lead ...

Dell's new VP of product management, Simon Jelley, speaks with theCUBE about what's next for Dell's data management portfolio ...

Wealth management firms want the best of both worlds—the scale to operate efficiently and the independence to stay flexible. Broker-dealers and RIA aggregators are taking different paths to get there, ...

Data agnostic failures. "Data agnostic" platforms often fail to integrate complex systems and leave teams with inaccurate data and time-consuming workarounds. Essential data attributes. A complete, ...

Imagine you are looking for a Caribbean vacation. There is a luxury resort brand you love, and you want to compare availability, prices, and amenities across locations. You could do your research ...

Data volume traps. More data can create confusion. Collecting excess data without clear objectives leads to wasted resources and poor decisions. Focus drives success. Prioritize key metrics. The best ...

Healthcare’s financial landscape has changed, and the old ways of managing data no longer serve today’s revenue cycle demands. Static monthly reports and backward-looking summaries can’t keep pace ...

As agencies move from pilots to production, success will depend less on model access and more on whether agencies have the right data, governance, and operational discipline in place. In pilots, ...

In today's customer-centric business environment, organizations are dependent on rich, highly accurate customer data to enhance relationships, personalize experiences and drive growth. However, many ...