J+D Forecasting strike the balance between simplicity and complexity when modelling for the liquid tumour market

12th August 2020
The Challenge Identify a clear, transparent, and logical way to structure a forecast model to identify the potential for a new therapy in leukaemia. The model would be complex because patients go through different stages of treatment within a single line of treatment (for example,…
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J+D Forecasting Changed the Forecasting Approach of a Global Biotech Forever

23rd July 2020
One of the world’s first global biotechnology companies a leader, in innovative scientific research in neurological diseases approached J+D Forecasting with a set of forecasting challenges.
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Improve Efficiencies in your Long-range/Strategic Planning.

21st July 2020
Here we offer insight into how you can improve efficiencies in your long range strategic planning by moving to cloud-based software solutions.
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Best Practice Tips for Visualizing your Pharma Forecast

20th July 2020
Here we offer insight into the best practises for visualising your forecast, from thinking about your audience to interacting with data.
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The Unique Challenges and Opportunities of Forecasting for Orphan Diseases.

15th June 2020
An article written by David James, IPI - International Pharmaceutical Industry
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Top 5 forecasting tips in Oncology.

17th April 2019
Contact us for a consultation  Find more J+D Forecasting insights 1 – All Change   Consider the stability of the market when deciding on the methodology. Patient flow models are accurate and provide a great deal of insight, however, they’re only really necessary when there is…
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Transforming Complex Data into Meaningful Outcomes

6th March 2019
Data collection, analysis and insight dissemination can be difficult  for organisations due to several challenges:  The amount of data  Cross-matching data sources  The ability of the user to understand the data  Software complexity The management and integration of data can be time-consuming and resource heavy…
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Complexity vs. Simplicity Part 2: The Forecast Model Balancing Act

25th January 2018
A successful forecast model design, as our previous article explored, relies on four key ingredients: transparency, tailoring, flexibility and simplicity. However, getting the right amount of simplicity can be challenging when the other ingredients can drive complexity in a forecast model. Toeing the line between…
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Complexity vs. Simplicity Part 1: Four Core Ingredients Of Successful Forecast Model Design

8th December 2017
A forecast model should make your life easier, not harder. It should allow people with varying capabilities, responsibilities and experiences to input their ideas and rationale, and understand what will happen to a product if the market changes. Therefore, a successful forecast model gives structure…
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Mind the Gap – Market Research and Forecast Model Creation

27th March 2017
One of the challenges regularly faced in market research and forecasting is the alignment of data from market research with a robust forecasting model.
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