This course will introduce practical analytical methods for forecasting revenues. Participants will be guided to apply forecasting techniques on their own laptop computers individually and group exercises. The course shall cover public and private sector entities

Learning Objectives:

At the end of this session, participants will be able to:

• Provide hands-on instruction on how to use specific qualitative and quantitative forecasting techniques and highlight the advantages and disadvantages of each technique. 

Course Outline
The course covers the fundamentals of revenue forecasting, including:

• Best practices in revenue forecasting
• Qualitative revenue forecasting methods
• Quantitative revenue forecasting methods
• Preparing data for quantitative analysis (deflating, differencing, smoothing, normalizing)
• Trend analysis and moving averages
• Fundamentals of regression analysis
• Being a “smart consumer” of regression output
• Identify historic revenue patterns
• Identify factors that affect revenue patterns
• Specify assumptions about factors that affect revenues
• Choose and apply appropriate forecasting method
• Gauge the accuracy of the forecast