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Leveraging Predictive Analytics to Foresee Future Purchasing Behaviors

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A major company that sells household electronic appliances wanted to be able to predict the product-buying habits of current customers in order to identify the likelihood of future purchases and smash their current sales goals.

To accomplish this, they needed a way to process large amounts of raw customer data, extract key variables, and transform that data into predictive models so that they could make educated, data-driven decisions.

This Hadoop-big data case study explores how they strategically approached their big data and predictive analytics needs. Find out how they created secure predictive models to answer critical business questions about consumer behavior.

Vendor:
Intel Corporation
Posted:
26 Aug 2016
Published:
26 Aug 2016
Format:
PDF
Length:
4 Page(s)
Type:
Case Study
Language:
English

This resource is no longer available.