Coforge boosts data efficiency for a Consumer Goods Company by Establishing a DPaaS Framework

Challenges

Our client, a large US Multinational CPG company specializing in tobacco-based products, had a monolithic, highly complex and rigid enterprise-wide data platform that was costly and limited the speed and agility of data analytics.

• The data platform was architected well based on the scope and technology when deployed but had not scaled well over time as data grew dramatically in volume and across business functions.
• The Solution agility was limiting; The solution architecture proved to be overly complex in a larger context, resulting in slow speed and high cost for new development and enhancements as well as data quality challenges.
• The Solution governance structure, based on the centralized architecture constructs, limited the autonomy of business functions to grow data products at scale and speed.

Solution

Coforge assisted the company to define and implement a DPaaS architecture framework. This was based on data mesh principles that accelerate the speed and autonomy of delivery and enable data sharing across enterprise business functions and geographies, for consistency and quality.

• Enabled a simplified data architecture and suite of framework capabilities founded on Snowflake, AWS, and Matilion that reduce data ingestion/dissemination speed/effort/cost and increases autonomy.
• Enabled enterprise-wide data sharing principals/capabilities across autonomous DPaaS nodes to minimize data redundancy and increase data consistency across enterprise data analytics.

The Impact

• Significant increase in data product productivity across business functions and geographies
• Significant decrease in time/costs for new development and operations.
• Increase in data quality, controls and security including data classification and masking for sensitive data.
• Increase in data governance and monitoring capabilities.