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…

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