Impact of Smaller Datasets on Zendesk WFM Forecasts
Understand how using a smaller dataset affects forecasting in Zendesk WFM. Extrapolation and gap-filling are key.
What happens if I use a smaller dataset for forecasting in Zendesk WFM?
If you use a smaller dataset for forecasting in Zendesk WFM, the system will extrapolate the available data to generate a forecast. It will also fill in any gaps with the best match it can find.
This means that while you can still get a forecast, it may not be as accurate as it would be with a larger dataset. The more data you have, the more precise the forecast will be, so it's always a good idea to aim for as much historical data as possible.
More related questions
How much data is needed for accurate forecasting in Zendesk WFM?
For the most accurate forecasting in Zendesk Workforce Management (WFM), it's best to have two years' worth of data. This amount of data allows Zendesk WFM to generate forecasts with a high degree of accuracy. However, if you don't have two years…
Can Zendesk WFM run forecasts with less than two years of data?
Yes, Zendesk WFM can run forecasts even if you have less than two years of data. While two years is the ideal amount for the most accurate results, the system is designed to work with smaller datasets as well. When using less data, Zendesk WFM will…
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