How To Create Models For Weekly Forecasting In SAP APO – A Primer

In our up-coming hands-on workshop on May 24, we will be adding a brief session on modeling at the weekly level so good intra-month splits can be achieved for the purposes of Production Planning and Detailed Scheduling (PPDS). We will evaluate the usefulness of weekly models to achieve good weekly splits of the monthly forecasts. What is the incremental value add of this process compared to using the APODPDANT proportioning keyfigure to derive the splits.

As we enter the last week of registration, only a few seats are left at rush pricing:

May 24th ‘Modeling & Metrics in SAP APO DP 1-day Workshop’ Boston, MA $995
http://demandplanning.net/modeling_metrics_in_apo_2.htm.

Demand Planning = Unlocking Stat Models + Engaging your Sales Force!

Demand Planning Net offers a service called Usability consulting where we improve the usability of your statistical tool by performing model tuning, setting the right tool parameters and finally training the planners in statistical modeling. Demand Planning Net has worked with clients helping them leverage the statistical features in their software applications.

• Most applications inherently have the analytical power to develop effective baseline forecasts.

• Most software tools allow you to create exception thresholds so you can streamline the forecasting process by exception.

Forecast Reconciliation and Proportional Forecasting – My e-book On Amazon.com

First e-book on forecast reconciliation and proportional forecasting released through Amazon.com.

Automatic Outlier Detection – Blessing or Curse?

One of the puzzled questions that Demand Planners ask in our training workshops is why their software produces a flat forecast 90% of the time.  An expensive software that took … Read More

Demand Volatility vs Forecast Accuracy

Demand volatility does NOT necessarily mean the demand is unpredictable. Demand volatility also does not mean the demand is an ugly scatter of points across the map. Forecast accuracy and Demand volatility are two different things, though there is a strong relationship between accuracy and volatility in practice. To improve forecast accuracy, you may need to do a variety of things and reducing or mitigating volatility is just one of those things.