Businesses and organizations increasingly rely on data and data analysis for everything from making day-to-day business decisions to long-range strategic planning. Data analytics also plays a critical ...

Katherine Haan, MBA, is a Senior Staff Writer for Forbes Advisor and a former financial advisor turned international bestselling author and business coach. For more than a decade, she’s helped small ...

A data analytics system implemented via a back-end application computer server, comprising: (a) a first risk relationship data store containing electronic records that represent a plurality of risk ...

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical ...

“In one embodiment of the present application, a data analytics system includes a data mining engine, a predictive analytics engine and a claims insight platform. The data mining engine analyzes a ...

With increased mergers and acquisitions, hospitals, hospital systems and Integrated Delivery Networks face significant challenges to aggregate and compare colossal datasets, identify problems, and ...

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

How do compliance teams in major corporates keep pace with the exponential growth of company data and the wealth of regulation they face? And in the face of this, how do they maintain an effective ...

Jared Zhao originally got interested in data analytics during his time at UC Berkeley because he was drawn to how it could turn raw data into a story. Zhao founded his first data analytics startup ...