J+D FORECASTING MAKES THE PHARMA FORECASTING EXPERIENCE EVEN BETTER

J+D FORECASTING MAKES THE PHARMA FORECASTING EXPERIENCE EVEN BETTER

FC+, a suite of Excel add-ins, specifically designed for Pharma Forecasting has been upgraded.

J+D Forecasting, one of the world’s leading pharmaceutical forecasting companies, has today announced the release of several pharmaceutical forecasting software upgrades.

The unique Excel software has been specifically created for anyone involved in Pharmaceutical forecasting; to produce forecast models quickly and easily with confidence.

Onco+ provides the most accurate approach to Oncology forecasting, whilst Sales+ is the first pharma Excel add-in to support the creation of statistical, event and probability-based forecasting models using one application. Epi+ offers a modular step by step approach to epidemiology forecast creation. Flow+ is suitable for progressive diseases, where it is important to follow the progression of patients.

Built upon forecasting best practise principles, the Microsoft Excel add-ins, help the user develop clear, concise, and transparent forecasts that the whole team can engage with at both a granular and high level.

“I wanted to congratulate you and the J+D team for the fantastic job on the new version of Onco+. It is much more stable and quite responsive.” (Alejandro Conde, Manager Of Insights and Analytics at Skysis LLC)

The recent enhancements are a particularly important development during the COVID-19 pandemic as the user can choose up to 100 events, previously 10. Also, the user can export to Excel and share their forecasts with anyone with or without a licence. In addition, analysis can be extracted to PowerBI for deeper insights and even better visualisation of the outputs.

David James, CEO at J+D Forecasting, said:

“The pharmaceutical market is constantly evolving and the ability to produce forecasts quickly and incorporate so many events at this time is critical. Utilising the most accurate and user-friendly approach, plus better visualisation has never been more important. An effective forecasting approach supports better decision making.”

 

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