Chart audit? Survey data? Other conventional data sources? Are you looking for critical supporting metrics to build an accurate forecast model for the pharma industry?

Then, leveraging real-world data would be the first option as it has been playing a vital role in the pharma industry especially, in understanding patient characteristics and effectiveness of a drug.

But, the unstructured nature of the real-world data can be a challenge when uncovering the essential insight and metrics for building robust forecasting inputs.

How do we refine the unstructured data to build KPIs around the forecasting assumptions?

Join our speakers Vishnu Prashanth, Principal Consultant and Ajitha Surendran, Consultant, D Cube Analytics,
To learn:

How to systematically integrate real-world data and secondary research data to build robust KPIs which can support an efficient forecasting model.

Register now to join us on the discussion!