#FutureReadyHealthcare
Indegene Simplifies Complex Hematologic Cancer Forecasting
Challenges
Excess investment of time and resources to maintain and enhance a series of forecast models covering multiple drugs in the same hematology cancer space, but with different mechanisms of action, across multiple geographies
Decentralized operations leading to suboptimal collaboration among forecasters, resulting in process inefficiencies
Complex model maintenance and enhancement resulting in forecasters investing more time on forecasting mechanics and focusing less on strategic priorities
The Solution
Deployed NEXT Forecasting to create a single unified portfolio model for the hematologic cancer drugs
Replicated client’s forecast models on NEXT Forecasting to match exact prior functionality
Enabled customizations, such as application of market events to product shares, product-specific pool for lines, client-specific reporting, and workflow enhancements, to facilitate enterprise-level forecasting
Outcomes
The global centralized model forecasting approach drove a positive behavioral change by motivating regional reporters to take a more unified and consolidated approach to their own forecasting efforts, thus simplifying the process.
Investment decisions now consider incremental gain/loss at the overall portfolio level in contrast to the individual asset level before the engagement
By year 2, client expects significant time and cost savings, while more accurately identifying portfolio-wide strategic insights