Economic forecasts: It addresses the business cycle by predicting inflation rates, money suppliers, housing starts, and other planning indicators.
Technological forecasts: These are concerned with rates of technological progress, which can result in the birth of exciting new products, requiring new plants and equipments.
Demand forecasts: These are projections of demand for a company's products or service. These are forecasts, also called sales forecasts, drive a company's production, capacity, and scheduling systems and serve as inputs to financial, marketing, and personnel planning.
Steps in the Forecasting Process
Step 6 Monitortheforecast
Step 5 Preparetheforecast
Step 4 Gatherandanalyzedata
Step 3 Selectaforecasting technique
Step 2 Establishatimehorizon
Step 1 Determinepurposeofforecast
Types of Forecasts
•Judgmental - Subjective analysis of subjective inputs
•Associative models – Analyzes historical data to reveal relationships between (easily or in advance) observable quantities and forecast quantities. Uses this relationship to make predictions.
•Time series – Objective analysis historical data assuming the future will be like the past
Types of Variations in Time Series Data
•Trend - long-term movement in data
•Seasonality - short-term regular variations in data
•Cycles – wavelike variations of long-term
•Irregular variations - caused by unusual circumstances
•Random variations - caused by chance
Forecasts affect decisions and activities throughout an organization