Companies launch initiatives to upgrade or improve their sales & operations planning and demand planning processes all the time, but many fail to deliver the results they should. Has your forecasting operation fallen short of expectations? Do you struggle with "best practices" that seem incapable of producing accurate, useful results?
Join your professional peers at the upcoming Foresight Practitioner Conference entitled "Worst Practices in Forecasting: Today's Mistakes to Tomorrow's Breakthroughs." This 1.5-day event will take place in Raleigh, North Carolina, October 5-6, 2016. Register today to take advantage of the early bird savings offer expiring on Monday, August 15. And at the event, be sure to meet the authors and receive a free signed copy of the new book, Business Forecasting: Practical Problems and Solutions.
Invited speakers will share how they and others have uncovered and eliminated bad habits and worst practices in their organizations, for potentially dramatic improvements in forecasting performance. Some of the topics to be addressed include:
- Use and Abuse of Judgmental Overrides
- Improper Practices in Inventory Optimization
- Avoiding Dangers in Sales Force Input to Forecasts
- Pitfalls in Forecast Accuracy Measurement
- Worst Practices in S&OP and Demand Planning
- Worst Practices in Forecasting Software Implementation
Registration will close in just over a month, and $200 in registration savings expires on Monday, August 15. Register today to reserve your seat and save!
Visit the conference web site for registration and complete conference information: https://forecasters.org/foresight/2016-conference/
Any questions? Contact:
Stacey Hilliard, Marketing Director
Foresight: The International Journal of Applied Forecasting
+1 (781) 308-3334
This conference is being produced by the editorial team at Foresight: The International Journal of Applied Forecasting. Foresight is published four times a year by the non-profit International Institute of Forecasters (IIF), an unbiased, non-commercial organization, dedicated to the generation, distribution, and use of knowledge on forecasting in a wide range of fields.