Putnam Investments manages a portfolio of over $175 billion in assets and practices an active, research-intensive approach to investing. The firm, based in Boston, operates across North America, Europe, and Asia. With an increasing number of customers and a growing database, Putnam’s goal was to transform into a data-centric, cloud-based organization.
In this case study, learn how
Putnam sought to enable sustainable business growth and profitability by capturing efficiencies through improved data access.
Putnam needed to respond to the demands of its business and end users for the benefits available in the cloud.
Putnam engaged with our team to develop to train and expedite the migration from Cloudera to Snowflake.
Missing the expertise needed to make the transition to Snowflake.
After ten months into the migration process, Putnam’s in-house team was still missing a consolidated data strategy.
Proven expertise in migrating from Cloudera to Snowflake.
Ability to create a business case to validate costs savings.
Experience with building a data warehouse with Snowflake on AWS.
Our team took a fresh approach to develop Putnam’s overall data strategy and helped the firm decide to implement Snowflake on AWS to replace their on-premises data lake built on Cloudera’s Distribution of Hadoop platform. As part of the consulting engagement, the team worked hand-in-hand with Putnam’s data architecture team to redesign and built a data warehouse with Snowflake on AWS. The firm was able to leverage our organization’s pre-built frameworks to accelerate the migration significantly.
Putnam’s migration was completed in just 60 days. With many Python based, self-service utilities set up; the data architecture team was able to support an acceleration in customer analytics processes and go-to-market plans.
Improve query response by 10x.
Accelerate internal adoption and usage of Snowflake by 12x.