Data forecasting is the process of making predictions based on past and present data. It is also the basis of all strategic decisions. For example, one could use forecasting for scheduling, inventory, budgetary, and circulation planning. This webinar will serve as an introduction to forecasting methods and ways to gauge whether a forecast is accurate and/or reliable.

Join the webinar with Sam Suber on Tuesday, May 11th at 10 AM to learn more. No prior experience is necessary!