Open Source Migration, Architecture & Analysis- Case Study

Standardizing Product Lines Using MDM

Customer

A large provider of annuities and life insurance in the United States.

Business Need

Traditionally companies have used software like SAS or SPSS for their analytic workloads and even for data loading and data munging. While these tools have been dominant in the data science domain for a while, open source tools, are becoming more mature, have deeper statistical and machine learning libraries, and the talent pool is increasing significantly.

What has complicated the use of commercial tools is that the expense is often directly related to data volumes and compute. For every organization that means an exponential increase in cost.

Customer Challenges

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