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.
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
Dig Deeper on Predictive analytics
Ed Burns asks:
What are your favorite tips for predictive modeling techniques?
0 ResponsesJoin the Discussion