A solution driven discussion to some of the global challenges surrounding Pharmaceutical Forecasting.
22nd October 2020Read More
14th September 2020Read More
The Covid-19 pandemic has brought fast moving, changing variables placing extraordinary strains and uncertainty on society as whole. The changes in primary and secondary care globally have and will continue to affect future pharmaceutical forecasts for in-market and new product launches. High levels of unpredictability…
J+D Forecasting strike the balance between simplicity and complexity when modelling for the liquid tumour market12th 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,…
23rd July 2020Read More
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.
21st July 2020Read More
Here we offer insight into how you can improve efficiencies in your long range strategic planning by moving to cloud-based software solutions.
20th July 2020Read More
Here we offer insight into the best practises for visualising your forecast, from thinking about your audience to interacting with data.
15th June 2020Read More
An article written by David James, IPI - International Pharmaceutical Industry
17th April 2019Read More
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…
6th March 2019Read More
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…
25th January 2018Read More
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…
8th December 2017Read More
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…
27th March 2017Read More
One of the challenges regularly faced in market research and forecasting is the alignment of data from market research with a robust forecasting model.