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