Custom Knowledge Management System Enhances Collaboration and Process Alignment For a Pharma Organization


Business Case

A pharma client was looking for an efficient Knowledge Management System (KMS) that can foster collaboration and process alignment in their Oncology department. With employees spread across various locations, hours, and devices, traditional data collection systems proved inadequate, risking the accuracy and availability of essential information for decision-making. 

The existing system struggled to handle extensive forecasting data, leading to inefficiencies in managing complex data with multiple users and versions. This hindered collaboration and posed significant challenges in maintaining data integrity and collaboration. 

To address these issues, the client wanted a robust KMS with active research phases, providing an option for backup and collaboration.

Our Solution

i2e implemented a comprehensive Knowledge Management tool to address the business challenge. This tool facilitated transparency in research processes and enhanced methodologies for teams of doctors and scientists. 

By utilizing the tool, research findings were easily shared and analyzed, enabling the identification of overstudied fields with diminishing returns on investment. 

This empowered individuals to make informed decisions about research allocation. Additionally, the aggregation of research data within the tool highlighted efficiencies and enabled significant advancements in addressing various challenges. 

The centralized platform streamlined data access and collaboration, fostering a more cohesive and productive research environment. 

Overall, the implementation of the Knowledge Management tool effectively tackled the organization’s need for efficient data management and collaboration in the Oncology department.

Challenges Overcome

  • Creating necessary workflows for creating, managing, and preserving research data specific to the Oncology department.
  • Ensuring appropriate calculation, privacy, and access controls to maintain data integrity and security with vast volumes of data.


  • Easy access to relevant information and resources.
  • Utilization of existing expertise through centralized data repository.
  • Enhanced security with digital signatures and restricted access controls.
  • Streamlined comparison of multi-year forecast data with key highlights.