Predictive analytics enables you to develop mathematical models to help you better understand the variables driving success. Predictive analytics relies on formulas that compare past successes and failures, and then uses those formulas to predict future outcomes.
This article provides a quick explanation of the nine most common data-mining techniques used in predictive analytics. Becoming familiar with them will go a long way toward enabling you to recognize patterns in customer preferences and buying behavior.
Content: Article
Author: Laura Patterson
Source: MarketingProfs
Subjects: IT / Technology / E-Business, Management, Marketing / Sales
Author: Laura Patterson
Source: MarketingProfs
Subjects: IT / Technology / E-Business, Management, Marketing / Sales
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