Streamlining Sales Insights for Better Decision-Making

Streamlining Sales Insights for Better Decision-Making
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

The client faced significant challenges in unifying and operationalizing sales and engagement data across the enterprise, limiting their ability to generate timely, trusted, and actionable insights.

  • Sales data fragmentation across channels and systems led to inconsistent metrics, manual data preparation, and no reliable Single Source of Truth for analytics consumption.
  • Lack of a standardized data model prevented seamless integration of sales, formulary, CRM, and call activity data, restricting brand-, therapy-, and portfolio-level analysis.
  • Inadequate scalability, security, and data governance in existing pipelines constrained reliable ingestion, controlled access, and long-term data usability.
  • Disconnected reporting and non-aligned KPIs limited visibility into account performance and HCP engagement, reducing the effectiveness of targeting strategies and performance tracking.

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.

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