Improving data analytics to drive smarter decisions for financial service providers.

The client in a NYC based Fortune500 financial services company.

We supported the data science team of our client who was looking to improve the delivery of analytics reports to help managers make informed business decisions.

Business

The financial sector is experiencing unrelenting competition. Organizations that want to thrive must be quicker and smarter in acquiring insights from data to make data-driven business decisions.

The client was looking for software developers who would support the internal data science team with Python expertise and know-how. The primary business goal was developing a system that would enable them to deliver analytics reports quickly and efficiently to support the decision-making process at the organization.

Technology

First, our team implemented data pipelines. Next, we migrated the organization's data to a new data warehouse. We were also responsible for supporting the client's internal team of data scientists in completing various tasks and sharing best practices in the field.

We advised the client about the choice of programming tools such as CI, repository organization, and linters through their evaluation and consultancy in reference to the planned infrastructure for the implementation of Airflow.

Since completing the data warehouse migration from Athena to Snowflake, the client’s team can now work with data more efficiently and with greater confidence. We also released our own instance of Apache Airflow for automating data processing to improve the user experience.

Our team helped in implementing Continuous Integration/Continuous Delivery (CI/CD) practices and shared other relevant know-how with the client’s team of data scientists.