Solution
Sales Data Standardization
Solution
Sales Data Standardization
Industry
Pharma & Life Sciences
Region
US
Technology
AWS
Context
A US-based pharmaceutical giant sought to consolidate and standardize sales data across products and channels to create analytics-ready datasets. The organization generated large volumes of data daily, but inconsistencies and fragmentation across sources made it challenging for teams to access and utilize information efficiently. To drive data-driven decisions, they needed a centralized solution that could unify sales data, provide governed access, and enable teams to quickly derive actionable insights across products, channels, and accounts.
Problem Statement
MathCo built a robust, scalable data foundation to unify sales data across all channels, enabling teams to access, analyze, and act on insights efficiently:
- Established a single source of truth across all sales channels, allowing solution teams to consume data with minimal transformations.
- Created a Common Data Model (CDM) integrating sales data from multiple domains, powered by Databricks on AWS, and processed using Apache Spark.
- Developed a secure, scalable ingestion pipeline using AWS S3, S3 Glacier, Databricks, AWS IAM, and Secret Manager to ensure governed access.
- Designed an account management dashboard with Power BI, Qlik, Jupyter, and Databricks SQL Warehouse to track account potential, marketing activities, and key sales KPIs.
- Integrated formulary, call activity, and CRM data to provide a 360° view of HCP engagement and sales effectiveness, enabling brand teams to optimize targeting strategies.
- Implemented therapy and brand-level data harmonization to align sales metrics and KPIs across different business units, improving comparability and portfolio-level insights.
Impact
- Standardized 20+ sales datasets into a unified model, reducing reporting cycle time by 40%.
- Empowered 100+ business users to self-serve insights through a governed, analytics-ready data layer.
- Improved data accessibility and efficiency, enabling faster, informed, and data-driven decision-making across the organization.