A French company that sells household electronic appliances and white goods seeks a solution to predict
the product-buying habits of previous customers, identifying the likelihood of households to make
additional purchases.
The Company deploys Cloudera distribution of Hadoop (CDH) to ingest and process large amounts
of raw customer data, such as previous purchase history, demographics, service requests, and more.
The new Cloudera-based solution creates over a hundred deterministic variables from the customer data, using complex random forest model algorithms. CDH harnesses these variables in a Bayesian process that transforms them into a usable solution to accurately predict buying trends among customers, empowering the Company to make educated, data-driven business decisions.
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Intel and Cloudera Help a Company Use Predictive Analytics to Foresee Future Purchasing Behavior.pdf