Data-Driven Project Prioritization and Resource Allocation for Pfizer: 75% Faster Decision-Making

The Challenge

Streamlining Data Access, Resource Allocation, and Project Prioritization

Pfizer faced four critical challenges:

  1. Centralized Data Requirement: They required a single database to streamline data collection, which previously took up to two weeks for data gathering and an additional two weeks to establish a pipeline—both processes were fully manual.

  2. Resource Allocation Tracking: A systematic method to track and allocate resources for each project was missing, limiting insights into necessary resources.

  3. Expedited Project Decision-Making: Decision-making for project prioritization, essential for determining which projects to advance, was time-consuming, taking a minimum of two weeks to complete manually. Monitoring action impacts pre- and post-prioritization also required automation.

  4. Data-Driven Prioritization Model: Pfizer sought a standardized, data-driven model for project prioritization to guide strategic resource investment based on weighted metrics.

The Solution

An Automated, Data-Driven Platform for Prioritization and Resource Management

SMPLCTY provided Pfizer with a four-part solution to automate and enhance decision-making processes and resource allocation. This solution reduced decision-making time by 75%, transforming Pfizer’s innovation management. Key features included:

  1. Centralized Database and Data Pipeline System: SMPLCTY designed a data pipeline and single database system to aggregate and simplify data insights, drastically reducing the time and complexity of data gathering and reporting.

  2. Resource Tracking and Allocation Insights: To improve resource allocation, SMPLCTY introduced a tracking system that gathers detailed resource requirements for each project, offering Pfizer a clear overview of needs across the portfolio.

  3. Decision Summary Display with DDIM Framework: SMPLCTY implemented a Data-Driven Innovation Management (DDIM) platform, enabling Pfizer to view project decisions both before and after prioritization instantly. This framework reduced time spent on prioritization and review from two weeks to a single click.

  4. Standardized Data for Prioritization: Through a standardized, data-driven prioritization model, SMPLCTY established a weighted scoring system, facilitating objective assessment of projects’ performance and potential impact.

The Result

75% Reduction in Project Decision-Making Time with Enhanced Resource Allocation Insights

With the automated and standardized solutions from SMPLCTY, Pfizer successfully accelerated its project prioritization and decision-making processes, saving weeks of manual work and enhancing insights for strategic resource allocation. This streamlined approach enables Pfizer to focus resources on high-impact projects and maintain a data-driven approach to portfolio management.