Skip Navigation Links
     
 
 
     
 
  Opportunities
   
 
 
     
 
Statistical Forecasting Techniques, Data Mining and Treatment
 

From data collection, segmentation and presentation to sophisticated forecasting techniques that will improve your bottom line and increase your competitive position in the market

13 - 14 October 2014, Singapore


In the face of fast-paced globalisation of economies and increasingly intensified competition, rarely a day goes by without an announcement of a new product launch, an existing one discontinued or modified, a set of new features added to make products more effective, convenient and innovative. At the same time, when customers are demanding faster delivery and quicker service, organisations often lack the resources and the expertise in order to effectively manage a leaner supply chain required to meet these challenges. As the economic uncertainties unfold many executives with supply chain and logistics responsibilities are either working in “survival mode” or moving forward and beginning to make their supply chains more responsive, flexible, and efficient.

This workshop makes specific recommendations for those striving to move up the demand forecasting maturity curve by providing you with new tools that speed up the validation of your data used for forecasting, increasing effectiveness of use of the software you have invested in and significantly increasing productivity of your forecasting staff.

Why should you attend?

  • Designed by professionals with combined 50+ years of practical business forecasting / demand planning experience.
  • Layered hands-on Excel exercises that foster stronger understanding and retention of materials covered during the workshop.
  • Practical understanding of leading forecasting software and systems including SAP APO, MANUGISTICS, i2, ForecastPRO and others to facilitate the discussion pertaining to software selection / use and program content applicability to individual systems.
  • Workshop aligned with Institute of Business Forecasting and Planning (IBF) Advanced Certified Professional Forecaster (ACPF) designation.
  • 60 days post–workshop support via phone/email on workshop covered materials / topics

Key Benefits:

  • Select the forecasting and analytical techniques most appropriate for any given forecasting problem
  • Learn how to analyse historical data fast and accurately to improve statistical forecast quality and accuracy
  • Gaining insights on how to evaluate performance of a statistical model
  • Learn how to interpret ‘residuals’ and model diagnostics to support effective model-building effort
  • Benefit from understanding techniques of combining various forecasts to improve forecast accuracy and stability
  • Gain solid understanding of data and the processes generating data and forecasts, thus increasing the ability to manage your staff’s time required to produce more accurate forecasts and decreasing dependence on software logic
  • Examine the exception driven forecast process and how to implement it in your organisation
  • Master the ways to incorporate market data into statistical forecasting
  • Explore various techniques used to transform data to improve the quality of statistical forecast
  • Analyse various trends and how they impact your forecasts
Who should attend?

CEOs, COOs, EDs, Directors, SVPs, VPs, General Managers, Senior Managers, Managers of:

  • Forecasting / Planning
  • New Product Forecasting
  • Supply Chain Management
  • Allocation and Planning
  • Load Forecasting
  • Strategic Planning
  • Demand Management Process
  • Brand Management
  • Promotions Planning
  • Finance
  • Production Planning
  • Merchandising
  • Product Life-Cycle
  • Trade Promotions
  • Retail Collaboration
  • Sales
  • Marketing
  • Market Research
  • Sales Analysis
  • Statistical Modelling
   
back