Mining data within a complex sales, service, and provisioning pipeline can yield powerful insights



An HP Labs research project is applying data science to a central concern of any services business: maximizing the company’s return on the time and money it invests in selling and then provisioning those services to its customers.  


It’s a particular challenge for companies like HP that offer services supplying customers with physical materials, such as printers and ink, on a large scale, and where the contractual engagement cycle for those services can easily extend over a long period of time.


Now, in a collaboration with HP’s Managed Print Services (MPS) business unit, HP Labs researchers are exploring how to shorten that cycle while also gaining key insights into how machine learning can improve the contractual service experience for both HP and its customers.

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