A Leading US Pharmaceutical Enterprise Reduced Data Integrity Issues Using Cloud-Based Managed Services Model
Overview
A leading US-based pharmaceutical enterprise, recognized for its innovative therapies and extensive healthcare provider (HCP) engagement. The company’s commercial success depends on actionable insights, efficient targeting, and agile product launch support.
The client required a single managed services partner to deliver end-to-end operations for its enterprise data ecosystem. Key challenges included:
Fragmented vendor landscape creating inefficiencies across Operate & Run, Dev Factory, and Data Stewardship towers.
Lack of agility in HCP targeting and alignment with product launches.
Data integrity issues from legacy systems affecting trust and adoption.
High manual effort in license management for MDM and productivity tools.
Solution
Coforge delivered a unified cloud-based data transformation and managed services model:
SaaS Environment Migration: Transitioned the client’s SaaS-based data platform in-house, leveraging Snowflake Data Cloud to power advanced HCP insights.
Flexible Data Model Redesign: Built to accommodate product launches and evolving alignment needs.
Cloud-First Architecture: Used Azure Blob Storage as the landing zone, with Snowpipe, Azure Data Factory, and Databricks for data processing.
Comprehensive Managed Services: Full ownership of Data Warehouse, BI, and MDM solutions with 13x5 SLA coverage.
Data Quality & Integrity: Implemented robust validation frameworks to reduce data errors and increase confidence in reporting.
Proactive Issue Remediation: Identified and resolved recurring data issues from legacy systems.
The Impact
Rapid deployment of enhancements leveraging reusable code, accelerating time-to-market for business insights.
Reduction in data integrity issues, boosting platform adoption and trust.
Near-zero effort on vendor management, freeing up critical stakeholder bandwidth.
Continuous automation of BI refresh processes, delivering updated insights faster.
