Use the Forecasting
transformation to run the HighPerformance Forecasting procedure (PROC
HPF) against a warehouse data store. PROC HPF provides a quick and
automatic way to generate forecasts for many sets of time series or
transactional data. The procedure can forecast millions of series
at a time, with the series organized into separate variables or across
BY groups. The Forecasting transformation provides a simple interface
for entering values for various options that are associated with PROC
HPF.
The Forecasting transformation
can forecast either time series or transactional data:

Time series data consists or observations
that are equally spaced by a specific time interval, such as a month
or week.

Transactional data consists of
observations that are not spaced with respect to any particular time
interval. Typical examples of transactional data include information
that is drawn from the Internet, inventory, and sales. For transactional
data, the data is accumulated based on a specified time interval to
form a procedure reference. The transformation can also perform trend
and seasonal analysis on this transactional data.
The following prerequisites
apply to the Forecasting transformation:

SAS HighPerformance Forecasting
software must be installed on the SAS Application Server that executes
a job that includes the Forecasting transformation.

If you use plot options in the
transformation, you will need to have the
SAS/GRAPH component installed
on the SAS Application Server that executes the job.