The Client

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.

Objectives

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 BizAnalytica (now part of the Mastek Group LLC) to develop to train and expedite the migration from Cloudera to Snowflake.

The Challenges

  • 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.

Why BizAnalytica (a Mastek company)

  • 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.

Why Mastek

Our team developed a data strategy with a hybrid cloud approach that made elastic resources available for analysts and developers. Once the strategy was ratified, our team launched a result and goal-oriented proof of concept (PoC) to solidify the business case for implementing AWS Redshift and supplemental cloud technologies to replace the existing Oracle environment. This solution delivery approach was able to explore and address Wellington’s concerns with the technology and build confidence in a combination of products from AWS and open source platforms.
  • 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.
  • 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.

The Solution

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.

  • Migrate 20 on-prem applications, 23 Essbase Cubes, 4000+ reports and 28 integration touchpoints to the cloud
  • Migrate 100 GB of data from legacy systems to Oracle Cloud
  • Gain a bird-eye’s view of operations by incorporating dashboards
  • Drive better insights from data, improved reporting, top-notch data security, governance and compliance

The Solution

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.

  • Migrate 20 on-prem applications, 23 Essbase Cubes, 4000+ reports and 28 integration touchpoints to the cloud
  • Migrate 100 GB of data from legacy systems to Oracle Cloud
  • Gain a bird-eye’s view of operations by incorporating dashboards
  • Drive better insights from data, improved reporting, top-notch data security, governance and compliance

These Solutions Included

  • Creating a unified front-end that makes data workflows highly customizable and accessible for application development.
  • Rewriting queries and processes that were defined in Oracle to AWS-friendly SQL.
  • Building a secure, continuous data sync between legacy systems and the cloud.
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Client, XYZ Company


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Client, XYZ Company

Benefits

  • Improved Quality and reliability of services.

  • Improved customer satisfaction & confidence.

  • Average monthly critical system issues reduced by 60%.

  • Reduced staffing and systems management time.

  • Average monthly performance issues reduced by 90%.

The Outcome

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.

  • Improve query response by 10x.

  • Accelerate internal adoption and usage of Snowflake by 12x.

Benefits

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.

  • Speed – In just 60 days, Putnam’s migration was wholly transformed
  • Performance – 10X improvement in query​ response times
  • Affordability –​ 19% reduction in​ previous IT spend​(~ $2M over 3 years)​
  • Agile Processing – Workflow adjustments in data lake made​ in minutes
Digital Applications and Cloud Engineering
  • Speed – In just 60 days, Putnam’s migration was wholly transformed
  • Performance – 10X improvement in query​ response times
  • Affordability –​ 19% reduction in​ previous IT spend​(~ $2M over 3 years)​
  • Agile Processing – Workflow adjustments in data lake made​ in minutes
Digital Applications and Cloud Engineering
Digital Applications and Cloud Engineering

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