[CUSTOMER]

A large provider of home and car insurance in the US

[BUSINESS NEED]

The company had an existing process of cleaning and preparing data from 2 major service lines and some other external data to run some machine learning models. The process of data preparation was done using a proprietary technology. The models were to make predictions to improve business processes and decisions.

[CUSTOMER CHALLENGES]

• The company was investing heavily in a proprietary technology and wanted to cut costs by leveraging an equally home built and customized big data analytics environment.
• Customer needed to transcribe the code using an open source coding language with a more efficient approach.