Talking Data podcast: Predictive modeling techniques

Predictive modeling is more than a math problem. This Talking Data podcast looks at it from the business and technology perspectives.

Predictive modeling techniques are catching on among businesses that are looking to identify potential customers and sharpen marketing initiatives. This edition of Talking Data recaps recent reporting by SearchBusinessAnalytics.com editor Ed Burns.

Predictive modeling is different from other types of analytics and demands a familiarity with the challenges. Data volumes, model accuracy and staffing problems afflict many organizations as they start on the road to predictive modeling. But with some planning and smart hires, predictive analytics can give businesses a sharp edge. Take a listen to this podcast to learn how to get your predictive modeling initiative off the ground.

Ed Burns is site editor of SearchBusinessAnalytics. Email him at eburns@techtarget.com and follow him on Twitter: @EdBurnsTT.

Next Steps

Learn the definition of predictive modeling

Understand why data preparation processes is coming under new scrutiny

Read about getting a predictive modeling program started

See how law enforcement is using predictive modeling

How predictive data analysis helps PayPal fight fraud

This was last published in June 2014

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