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Self-Service Commercial Analytics at Scale

Enabling AI-Powered Self-Service Commercial Analytics on AWS for Faster Market Decisions

Short Description

A pharmaceutical company partnered with UsefulBI to build a cloud-native, self-service commercial analytics platform on AWS. By unifying CRM, prescription, HCP engagement, and field activity data and enabling AI-powered exploration through ThoughtSpot, the solution empowered business users to make faster, data-driven decisions while reducing reliance on central BI teams.

Customer Problem

The customer’s commercial organization operated in a highly data-rich but fragmented ecosystem. Sales, prescription, HCP engagement, and digital marketing data resided across multiple legacy systems.

This led to:

  • Heavy dependency on central BI teams for reports
  • Delays in accessing critical performance insights
  • Limited flexibility for field and regional teams
  • Slow response to market shifts and HCP behavior changes
  • Inefficient territory planning and outreach optimization


The organization required a scalable, unified analytics foundation that would enable self-service decision-making for non-technical business users.

Solution

UsefulBI designed and implemented a cloud-native commercial analytics platform on AWS that unified data sources and enabled intuitive, AI-powered exploration.

Core Components of the Solution:

  • Centralized commercial data lake on AWS
  • Integration of CRM, prescription, HCP engagement, and field activity data
  • Data transformation and modeling for consistent KPIs
  • AI-powered search and analytics using ThoughtSpot
  • Governance and role-based access controls


How the Architecture Works:

  1. Commercial data from multiple source systems is ingested into AWS
  2. Data is standardized and modeled into unified performance views
  3. ThoughtSpot enables search-driven, AI-assisted analytics
  4. Business users independently explore KPIs, trends, and territory performance in real time


The solution eliminated reporting bottlenecks and created a scalable analytics foundation accessible to both field and leadership teams.

    Benefits / Results

    The self-service analytics platform delivered significant operational and strategic impact:

    • Real-time access to commercial performance metrics
    • Reduced dependency on central BI teams for ad hoc reporting
    • Faster identification of market shifts and HCP behavior trends
    • Improved territory alignment and call planning through dynamic segmentation
    • Greater agility across sales, marketing, and market access teams
    • Enabled analytics teams to focus on strategic, high-value initiatives


    The organization gained a scalable analytics ecosystem that accelerated commercial decision-making and improved field effectiveness.

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