Founded in 2012, our client is a fast-growing big data and AI company with a vision to simplify the world’s choices and believes that data is meant for everyone to see, touch and use the information to make a difference.

In order to achieve that, the client wanted to build a robust infrastructure that will enable them to collect data (transactions, logs, emails, etc.) across disparate data sources and bring all the data sources into a data bank to enable quants, data scientists and data engineers to create data pipelines and further enhance it for quantitative analysis, reporting analytics and enforce machine learning. The client also wanted to set up a fast feedback loop and batch process using APIs in a cloud-agnostic manner.

Lastly, the client wanted the infrastructure to be scalable to support and forecast growth, with high performance for their end customer analytics, and was on the lookout for a business intelligence partner for end-to-end implementation and support.