*FOURCAST* improves Sales, Marketing & Economic predictions

Then, expand your ideas: utilize more data, sales & marketing data,
a user's monograph + case based & research journal references, and much much more!

* Scroll down to: Test Your FOURCAST sales-marketing-economics IQ. >>>> *

You have entered the Sales-Marketing-Economics page.
Here you will find a case study and related data designed to teach
the principles of modern time series analysis and forecasting.
Click on the reference below to select the teaching case and/or data set that you wish to download.
*CASE: COLOR TV INDUSTRY SALES FORECASTING: an input to corporate planning*

**DATA:**
The data for this case (CTVPR, PRICEIND & INCOM) are supplied with all versions of the computer software FOURCAST, including the educational version * (click here to download FOURCAST then install it). * The data will automatically be installed and ready for use.

* Scroll down to: Test Your FOURCAST sales-marketing-economics IQ. >>>> *

Time series analysis has many applications. How it is applied,
depends very much on the particular application. The following information
is intended as a guide to sales, marketing and economics applications.
Time domain time series models are limited in
their ability to represent cycles in the data. The moving window spectral antithetic (MWSA)
time series model is a frequency domain approach. It is an extension of the
time series concept, to a generalized automatic system that
decomposes the data into trend, periodic components and residuals.
FOURCAST employs the MWSA Method and is particulary effective when the time series contains cyclical components.
It uses spectral analysis to perform an in depth analysis of the trend and cyclical components.
A moving time domain window is used to determine how each cyclical component is changing over time.
One component may be growing while another component may be shrinking (no other method can do this).
The cycles are forecast individually, then recombined. The forecast is dynamic.
When the forecast cycles are in alignment, turning points and changes in trend will occur. Also,
antithetic forecasting (combining 2 forecasts with negatively correlated errors) is used to reduce
bias and minimize forecasting error.
The main objective of this information, and the test that follows is a
critical examination of the the way in which we view this application,
and in general, the role of time series analysis and forecasting.

## Summary of sales-marketing-economics model building and forecasting

ASSUMPTION: Sales, marketing & economic data are made up of trend, cyclical, and random components. Plot a time chart of the data. Review the data for trend, cycles and changing variance.
Plot a histogram. Review the histogram for normality or lognormality. Consider what transformations
may be used to make the data stationary. Consider what window length would match the longest
dominant cycle. Select the appropriate transformations and window length then estimate the model.

* Scroll down to: Test Your FOURCAST sales-marketing-economics IQ. >>>> *

Then, expand your ideas: utilize more data, sales & marketing data,
a user's monograph + case based & research journal references, and much much more!
# Test your FOURCAST sales-marketing-economics IQ.

**Instructions**

This review is designed to determine how well you understand what FOURCAST
does, and how to put it to work for you. When you are satisfied that you
have answered the questions correctly, you are ready to use the program.
Please feel free to use this self-evaluation test as often as you like
(In order to receive anonymous feedback, click on the score button at the end
of the test.)
**Questions**

Answer each of the following multiple choice review questions by

selecting the response which is most immediately appropriate.

Then, expand your ideas: utilize more data, sales & marketing data, multi-level forecasting/supply chain management, logistics,
a user's monograph + case based & research journal references, and much much more!

*http://www.fourcast.net*