I'll give you the gist of Demand Analysis Forecasting:
Demand analysis forecasting is the process estimation of quantity of a product or service that will be demanded by the customer in the future. Demand forecasting is carried out using both, informal methods, like educated guesses or quantitative methods that involve the use of historical data or existing data from the test markets. Demand forecasting helps in the formulation of pricing strategies, estimation of future product capacity and making crucial decisions relating to the entry or exit from new markets.
Methods of Demand forecasting:
Qualitative Methods:
1. Jury of expert opinion method
2. Delphi Method:
*Developed by RAND Corp
*Individuals are asked to answer questionnaires in a total of 2 to 3 rounds
*The persons involved often maintain anonymity even after the test has been completed.
Quantitative Methods:
1. Time series projection methods:
*Trend projection method
*Exponential smoothing method
*Moving average method
Casual methods:
1. Chain ratio method
2. Consumption level method
3 End use method
4.Leading indicator method
Forecasting analysis is the process of using historical data and statistical models to make predictions about future trends or outcomes. It involves examining patterns, factors, and relationships in the data to make informed decisions about future events. Forecasting analysis is commonly used in business to anticipate demand, optimize resources, and improve decision-making.
O. D. Anderson has written: 'Time series analysis and forecasting' -- subject(s): Box-Jenkins forecasting
Renchao Cao has written: 'Shi qiong yu shi fu' -- subject(s): Investment analysis, Stock price forecasting, Portfolio management 'Lun shi' -- subject(s): Investment analysis, Stock price forecasting 'Shi ji yu jue ze' -- subject(s): Investment analysis, Stock price forecasting, Portfolio management
Preparation of the forecast. This is the analysis part of the process. After the model to be used is determined, the analysis can begin and the forecast can be prepared.
Sverre Petterssen has written: 'Weathering the storm' -- subject(s): Meteorologists, Meteorology, Biography, Weather forecasting 'Weather analysis and forecasting' -- subject(s): Weather forecasting, Meteorology 'Convection in theory and practice' -- subject(s): Clouds, Weather forecasting
Casual forecasting involves determining of factors that relate to the variable you are trying to forecast. These include multiple regression analysis with lagged variables, econometric modeling, leading indicator analysis, diffusion indexes, and other economic barometers.
forecasting what jobs will need to be done in the future.
To undertake numerical calculations. Accounts, inventory, statistical analysis and statistical forecasting.
The five common forecasting methods are executive judgement, surveys, time-series analysis, regression analysis and market tests. Market characteristics, purposes of the forecast, type of product and the costs involved are a few factors that the effect the choice of method for forecasting sales.
Alan Pankratz has written: 'Forecasting with dynamic regression models' -- subject(s): Prediction theory, Regression analysis, Time-series analysis
Jeffrey Augen has written: 'The option trader's workbook' -- subject(s): Options (Finance), Investment analysis, Stock price forecasting 'Day trading options' 'The option trader's workbook' -- subject(s): Options (Finance), Investment analysis, Stock price forecasting
Fashion Forecasting in simple terms is predicting after a lot of research and analysis , what is going to be in fashion the next season. pretty much everything is covered including colors, silhouettes, styles, fabrics, accessories. etc.
This method uses the organization's current level of employment as the starting point for determining future staffing needs. The key to zero-base forecasting is a thorough analysis of human resource needs.