Meaningful comparison of internal and external options on supply and demand

The goal of the project was to determine the most profitable retail prices, the correct mix of internal and external sourcing, internal and third-party production facilities and internal sales and external clearance. The company generates millions of additional dollars every year by optimizing their purchase and pricing decision.


Classifying EMR patient data to reduce costs.

In principle, electronic medical records contain a wealth of information about patients - personal information, medical history and care pathways. However, to derive clear clinical inferences is hard. We helped the customer leverage their technology and combine with machine learning to classify patients in clinical and quality dimensions and ultimately reduce costs of care.

Data-driven continuous product improvement

A mobile device manufacturer, wanting to improve customer satisfaction, found traditional methods like surveys unsuitable for their business. We used detailed device usage big-data to identify top drivers of customer dissatisfaction.