| Are
you looking for a forecasting solution that is easy to use
and saves you a
lot of time, yet improves forecasting reliability and
accuracy? Are you spending more time manipulating parameters in forecasting
models than actually producing results? Don’t you wish you
could get the results you need more accurately...
inexpensively... and faster and easier?
Now you can with the PEERForecaster
Add-in for Excel!
If
you are spending a lot of time and money manipulating
forecasting models with your large-scale demand planning systems
without getting reliable feedback and simple answers, then we may be in
a position to help you get those analyses done more quickly and
with greater reliability.
Forecasting
technology has improved so much in recent years
that most demand forecasting software providers, especially the
‘larger players’, may have fallen behind in providing
improved solutions to their clients.
Delphus
is offering PEERForecaster,
an Excel Add-in with all the horsepower of a full-fledged
forecast
modeling tool
without the overhead commonly associated with many forecasting
solutions. The models include all the well-known techniques
from simple smoothing, Holt trending, Holt-Winters seasonal
models, and damped trend exponential smoothing models to the Box
Jenkins ARIMA models. The algorithms and model interpretations are
documented in the book entitled Forecasting:
Practice and Process for Demand Management coauthored by
Delphus' Hans Levenbach.
PEERForecaster
Add-in is also provided at no charge when you enroll in the
CPDF® certification curriculum
for demand planners.
The
international M3 forecasting competition has
established that the family of "damped
trend" models generally outperform the more conventional
models used for forecasting trends and seasonality
in historical data. This
information has been published in the peer-reviewed International
Journal of Forecasting. Yet, these models are rarely,
if ever, found in many of the mainstream ERP/SCM demand planning systems available
in the market today! |
