Advantages and shortcomings of predictive analytics, and how the practice is changing in order to keep up with the evolution of technology. The term predictive analytics refers to the use of data ...

Predictive analytics is a category of advanced data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling ...

Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...

Predictive analytics is an analytics process that uses statistics and modeling techniques to make informed decisions and predictions about future outcomes based on current and historical data.

It is a tool used in predictive analytics, a data mining technique. Companies may use predictive modeling when creating marketing campaigns to gauge customer responses, and financial analysts may ...

New data-driven tools give employers an edge in preventing injuries, improving compliance, and optimizing safety protocols before accidents occur.

Media companies with access to good data gain the ability to see around corners, get ahead of their competition and anticipate audience behavior and advertiser demand. Consider these examples of how ...

Predictive analytics tools comb through your data to divine visions of your business future. Here’s an overview of the wide array of options available today. Do you want to know what the future ...

Predictive analytics in real estate combines the use of historical data and algorithms to anticipate future market trends and identify potential sellers – sometimes even buyers, too. Real estate ...

AI that anticipates where crimes are likely to occur and who might commit them has a troubling track record. Democratic accountability could shine a light on the technology and how it’s used.