Forecasting Methodology

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Forecasting Methodology

Forecasting is an integral part in planning the financial future of any business and allows the company to consider probabilities of current and future trends using existing data and facts. Forecasts are vital to every business organization and for every significant management decision. Forecasting, according to Armstrong (2001), is the basis of corporate long-run planning. Many times, this unique approach is used not only to provide a baseline, but also to offer a prediction into the corporation's future. In the functional areas of finance and accounting, forecasts provide the basis for budgetary planning and cost control. Marketing relies on sales forecasting to plan new products, compensate sales personnel, and make other key decisions. Production and operations personnel use forecasts to make periodic decisions involving process selection, capacity planning, and facility layout, as well as for continual decisions about production planning, scheduling, and inventory. Planning problems, whether dealing with services or merchandise, can cause any manager headaches easily solved by forecasting. It is important that any manager realizes that the past is a key to the future. Although no long-term plan is perfect, using the correct forecasting tool, along with continual evaluation, allows the manager to review and update corporate financial plans.

Most people view the world as consisting of a large number of alternatives. Futures research evolved as a way of examining the alternative futures and identifying the most probable. Forecasting is designed to help decision making and planning in the present. Forecasts empower people because their use implies that we can modify variables now to alter (or be prepared...

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...great management tool which provides the necessary raw material for budgeting.

Reference

Chase, Jacobs, & Aquilano. (2005). Operations Management for Competitive Advantage (11th

ed.). New York: McGraw-Hill. Retrieved October 11, Y2007ear, from University of

Phoenix, Week Three, rEsource. Operations Management Web site.

Global Insight. (2007). Global Leader in economic and financial analysis, forecasting and

market intelligence. Retrieved October 12, 2007, from http://www.globalinsight.com/

Arsham H., (1994 ). Time-Critical Decision Making for Business Administration. Time Series

Analysis for Business Forecasting. Retrieved October 10, 2007, from

http://home.ubalt.edu/ntsbarsh/stat-data/Forecast.htm

Armstrong J. Scott (ed.) (2001). Principles of forecasting: a handbook for researchers and

practitioners). Norwell, Massachusetts: Kluwer Academic Publishers.

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