These calculated data are then seasonalized on rows 12, 13, and 14 (highlighted in orange) based on the actual seasonality achieved in 2015 by dividing each calculation (highlighted in green) by the total amount of revenue for 2015, and then multiplying the product by the actual revenue amounts for each respective month in 2015.ĭownload this example workbook at /forecast.xlsx. For example, the worksheet pictured below includes actual revenue for 2015 on row 2, linear- based forecasts calculations on row 6, and simplified boundary calculations on rows 7 and 8. If you are using an older edition of Excel, and the Forecast Sheet tool and functions are not available to you, you can still adjust your forecast and boundary calculations for seasonality manually.
FORECASTING FUNCTIONS IN EXCEL FOR MAC SERIES
Uses an exponential smoothing algorithm to predict a future value on a timeline, based on a series of existing values. Note that these functions are not available in Excel 2016 for Mac.
In lay words, this approach weights the data's seasonal variations by exponentially increasing amounts over time hence, in this example, the revenue's seasonality in 2015 has a greater impact on the forecast than the seasonality of the data in 2014, and 2014's seasonality impacts the forecast more so than 2013's seasonality, and so on. In Excel 2016, Microsoft have introduced the following new built-in statistical functions. These new functions predict future values based on historical time - based data using the AAA version of the exponential smoothing (ETS) algorithm with the weights assigned to data variances over time in proportion to the terms of their geometric progression based on the following exponential scale.
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