Pharmaceutical Clinical Trials Resource Optimization

GlaxoSmithKline Optimizing Billion-Dollar
Clinical Trials Worldwide

With 70+ pipeline candidates and clinical trials costing up to $1.3 billion per drug, GSK needed more than spreadsheets to manage global resource allocation. We built a predictive forecasting system integrating SAP, Siebel, Cognos, and Oracle — with user-customizable algorithms and what-if analysis to optimize trials across continents.

$300B+ Global Pharma R&D
70+ Pipeline Candidates
Global Trial Operations
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01

The Challenge

Bringing a new drug to market costs between $985 million and $1.3 billion — and 70% of that investment goes to clinical trials. For GSK, one of the world's largest pharmaceutical companies with 70+ candidates in their pipeline, managing clinical trial resources across continents isn't just complex. It's a billion-dollar optimization problem.

Clinical trials span three phases, each with dramatically different resource requirements. Phase I might need 50 patients for 28 months. Phase III requires hundreds or thousands of participants across multiple countries for 38+ months. Staff, facilities, equipment, patient recruitment, regulatory compliance — the variables multiply exponentially when you're running trials worldwide.

GSK's resource data lived in silos: SAP BusinessObjects for enterprise planning, Siebel for customer and site management, Cognos for business intelligence, and Oracle for data warehousing. Without integration, planners couldn't answer basic questions: Do we have enough clinical research associates for next quarter's Phase III expansion? What happens if enrollment accelerates? What if a trial site underperforms?

$1.3B Per drug to market
70% R&D spent on trials
38+ mo Average Phase III

Fragmented Enterprise Systems

Resource data scattered across SAP, Siebel, Cognos, and Oracle. No unified view of current allocation or future needs across global trial operations.

Long Planning Horizons

Clinical trials run for years. Resource planners need to forecast staffing, facilities, and budgets 3-5 years out while trials shift and evolve.

Scenario Planning Needs

What if enrollment accelerates? What if a site drops out? What if regulatory timelines shift? Planners needed what-if analysis without manual recalculation.

02

Our Approach

We built a resource optimization platform that treats clinical trial planning as the global supply chain problem it truly is — integrating disparate systems, applying predictive algorithms, and giving planners the power to model scenarios without waiting for IT.

01

Enterprise Integration Layer

We built connectors to SAP BusinessObjects, Siebel, Cognos, and Oracle — creating a unified data foundation that pulls resource information from across GSK's enterprise systems into a single analytical environment.

02

Predictive Forecasting Engine

Using historical trial data, the system forecasts future resource needs by phase, therapeutic area, and geography. Predictive algorithms account for typical enrollment curves, site performance patterns, and regulatory timelines.

03

User-Customizable Algorithms

Resource planners aren't data scientists, but they know their trials. We built an interface allowing planners to adjust forecasting parameters — enrollment rates, site capacity, staffing ratios — without touching code.

04

What-If Analysis Engine

The override feature lets planners model scenarios: What if Phase III enrollment doubles? What if we add sites in Asia? What if regulatory approval accelerates? Instant recalculation shows resource implications.

03

The Solution

Global Clinical Trials Resource Optimizer

The system transforms how GSK plans and allocates resources for clinical trials worldwide. From a single platform, planners can see current allocation, forecast future needs, model scenarios, and generate roll-up reports for executive decision-making.

  • SAP BusinessObjects integration for enterprise planning
  • Siebel integration for site and customer management
  • Cognos and Oracle integration for BI and data warehousing
  • Predictive resource forecasting algorithms
  • User-customizable projection parameters
  • What-if override analysis and roll-up reporting
Integration Architecture
Analytics Roll-Up Reports
Planning What-If Analysis
Core Forecasting Engine
ERP SAP BO
CRM Siebel
BI Cognos
Data Oracle DW
04

The Results

Unified
Global View

SAP, Siebel, Cognos, and Oracle data unified into a single resource planning environment.

Predictive
Forecasting

Algorithms project resource needs across phases, geographies, and therapeutic areas.

What-If
Analysis

Planners model scenarios instantly without waiting for IT or manual recalculation.

Roll-Up
Reporting

Executive dashboards aggregate resource data from trial level to global portfolio.

"When you're spending over a billion dollars per drug on clinical trials, resource optimization isn't just about efficiency — it's about getting life-saving treatments to patients faster. Every week saved in planning is a week saved on the path to approval."
Industry Perspective Pharmaceutical R&D Operations

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