Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Robert Kelly is managing director of XTS ...

Today’s leading businesses, governments, and other organizations collect large amounts of data about their operations and their customers. Classic examples are Amazon, Twitter, or any company that has ...

The concept of predictive analytics is not new. Predictive analytics has been around for well over a decade. Despite its age, it has mainly been the purview of large organizations for most of its ...

This article is the sixth and last in an editorial series that reviews how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter ...

IBM Watson is the most well-known example of predictive analytics in use. If your company wants to benefit from predictive analytics, here's what you need to know. Predictive analytics use historical ...

Overview:  Predictive analytics helps businesses forecast customer behavior and improve marketing decisions with data-driven ...

Combining big data with detailed process knowledge, EFT and Big River Steel are solving one of the steel industry’s biggest pain points. WICHITA, Kan.--(BUSINESS WIRE)--EFT Analytics (EFT), a leading ...

In today’s competitive business environment, empowering your teams with data-driven decision-making is essential. However, amid an organization’s vast sea of data ...

Integrating predictive analytics into its sales pipeline tools is helping Cisco Systems improve its global sales process. One challenge has always been leveraging the information in the pipeline ...