Enabling Real-Time Analytics and a Snowflake-Powered Unified Data Platform for a Leading Pharma Brand
Quantiphi partnered with a leading pharmaceutical supply chain management company in India to modernize their data infrastructure by migrating from MySQL to Snowflake. The goal was to manage the growing volume of data, reduce processing time, and provide real-time reporting for retail orders and distributor operations.
Read how Quantiphi helped the client transition to Snowflake, achieving a single source of truth, improving scalability, and enabling timely, actionable insights.
About the Client
The client is a major healthcare platform in India, providing a mobile app for retailers, distributors and other supply chain partners, enabling smooth and timely inventory management.
Problem Statement: Tackling Growing Data Complexity
The client’s data processing infrastructure was struggling to keep up with a 25% year-on-year increase in data. They faced challenges in scalability, timely reporting, and maintaining a single source of truth due to fragmented data across multiple systems. The need was clear: modernize their data platform to enable faster, more reliable insights without disrupting ongoing operations.
Challenges: Breaking Down Data Barriers
- High Data Volume: Difficulty processing and analyzing a growing volume of data efficiently.
- Limited Scalability & Processing Time: Existing infrastructure couldn’t scale quickly enough to handle data growth.
- Server Availability Constraints: Limited availability of servers slowed down data processing and analysis.
- Data Silos: Multiple data sources prevented a unified view of the supply chain.
- Data Redundancy: Multiple copies of datasets caused inefficiencies and increased storage costs.
The Solution: Modernizing Data Infrastructure with Snowflake
Quantiphi implemented a comprehensive data migration and refactoring solution, leveraging Snowflake and modern ETL practices:
- Data Migration: Migrated data from MySQL to Snowflake using Informatica ETL, with Amazon S3 serving as the landing zone.
- Data Refactoring: Re-modeled data tables with aggregation steps to build clean dimensional and fact tables on Snowflake.
- Materialized Views: Created materialized views in Snowflake to support reporting metrics and ensure faster query performance.
- Single Source of Truth: Consolidated fragmented data into a unified, scalable platform for accurate reporting and insights.
Technologies Used
Snowflake
MySQL
Informatica
Amazon S3
Results and Impact: Driving Real-Time Insights
Quantiphi’s solution delivered tangible improvements across data operations and reporting:
- Single Source of Truth: Consolidated data from multiple systems for consistent and accurate reporting.
- Improved Scalability: The cloud-based Snowflake infrastructure handled growing data volumes efficiently.
- Timely Reporting: Reduced processing time, enabling near real-time reporting for stakeholders.
- Actionable Insights:Real-time analytics and granular level insights for better decision-making for supply chain management.
- Operational Efficiency: Simplified data architecture reduced redundancies and enhanced overall system performance.
Quantiphi’s strategic migration and refactoring enabled the client to modernize their data infrastructure, turning fragmented datasets into a unified, scalable, and actionable data platform that supports real-time insights and business growth.