Predictive Analytics Revelation

What is Predictive Analytics?

Predictive Analytics is using emperically derived models for predicting future outcomes which can be based on known or even unknown events. There are many techniques employed in Predictive Analytics which include data mining, statistical analysis, modeling, and even artificial intelligence.

Predictive analytics has been around for a long time, it's a technology that's getting adoption now as it has matured. Organizations are turning to predictive analytics to increase revenues, manage expenses, and to maintain a competitive advantage. Big Data has played a big part of this. Growing volumes and types of collected data, made publicly available has provided the ability to benchmark trends find anomalies. New software is both interactive and easy-to-use, Predictive analytics is no longer just the domain of data wonks and statistics nerds. Nowaday's Business analysts and operations subject matter experts are using these technologies as well.

Goals of Predictive Analytics

• Bring key business insignts into decision-making processes
• Solutions to our biggest challanges with data mining
• Integration of predictive analytics with data driven decision making
• Positive ROI and superior outcomes

Who needs Predictive Analytics ?

Companies that need to:

• Secure their competitiveness
• Increase sales and grow customer base
• Manage fraud
• Meet customer expectations
• Improve core business capacity

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