Our client is transforming the world of lease-to-own with transparent lease-purchase plans that flex to meet the needs of consumers who are overlooked by traditional credit.
With proprietary machine learning (ML) models, the client predicts consumer behavior more accurately than traditional credit scores. Thus, providing new paths to ownership for people and new customers for omnichannel retailers.
This project's scope was to utilize Snowflake and deliver business value using a targeted but extensive customer & product data set.
Data Engineering played a role in writing the ETL and building the integrations around the technology to feed data and make it available to consumers.
The plan was to build the Enterprise Data Warehouse System using snowflake, including ODS as Data Lake, Fivetran as ETL plus DBT, and Data Orchestrations using snowflake inbuilt.
The primary objective was to complete data migration of critical customer and product data.
The fintech company's previous data warehouse could not scale to the company's needs and was very limited in terms of security. So, they started looking for a more scalable and cost-effective solution.
A platform that can scale to meet current & future demands.