Many of our clients are not aware of the fact that SPSS not only provides predictive modeling capabilities but it can also be used to build a highly accurate time trend forecast.
These time trend forecasts are useful as an augmentation to TM1 cubed trendlines for revenue and expenses. The key is that SPSS uses leading indicators and higher level math to fit peaks and valleys of the data (aka volatility) . Furthermore, SPSS can also be used to quantify forecast risk (ie scenarios under which the forecast under-predicts the actual or over-predicts the actual)
The Future of Big Data
With some guidance, you can craft a data platform that is right for your organization’s needs and gets the most return from your data capital.
This kind of capability works well in those industries that are constantly tracking revenue and expense as a function of time, especially retail and manufacturing.
For more information on this topic please contact
Tony Firmani
Director, Advanced Analytics
Tony.Firmani@perficient.com
