What is Forecast?
A forecast is to estimate or predict in advance
that an event will occur or happened. A Forecast
is based on the probability that the event predicted will actually occur. Forecasting is a tool for planning. Forecasting helps management to plan for uncertainties
of the future. Planning actually is looking
at the past and the present to see what
the future will be. Forecasting relies on the past
and present data and analyzing the trends to what the future will be. Every important
decision made today by the business executive in base on some form of
forecast.
Forecasting tool: Regression Analysis developed by the author |
There are many different types of forecasting techniques available
and selecting the right forecast technique is very
important. Each forecast method has a special use and must be selected with
care for the right application. The wrong
forest has grave consequences. Looking at the recent USA elections, all the
polls predicted that Clinton was going to win the election. It is there important for managers and
forecasters to select forecast and also have better understating the range of forecasting possibilities.
Types of forecast techniques.
Forecast techniques can
be qualitative or quantitative. Qualitative
forecast techniques do not rely on past data but base on qualitative data and
may not take the past into consideration. The qualitative
forecasting technique is used when data are scarce. An example of qualitative forecasting is Delphi
method, scenario planning, and market research.
Quantitative forecast techniques focus on patterns and pattern changes, and therefore
historical data. Some of the quantitative forecasting techniques are time series, regression analysis and
projections and causal models (Field, 2009).
Forces affecting
forecast results-Technological and political
A
lot of forces can affect the success
of any forecasting. Wade (2012) listed a number
of forces that can affect the success
forecasting with on scenario planning. Some of the forces are political, economic
societal and technological.
I will like to discuss
two of these forces. The first force I will discuss is technological. A new disruptive
technological can affect the success of a prediction. Consider the newspaper case
study as an example. The new paper attempt to growth was interrupted by the emerging
of the Internet and social network. The Internet
emerged as a new technology which made news available online.
The second will be
politics can affect the success of forecasting. Rules and regulation made by
the Government can affect the success of a forecast. Just this week the result
of the US election 2016 has a drastic effect on the stock market. The major stocks
on the international stock market were affected by the election results (Shell
2016).
References
Field, A. (2009). Discovering statistics using SPSS.
Sage publications
Shell, A. (2016, Nov 13). History
on how presidential elections affect stock markets. ABC News. Retrieved
from http://abcnews.go.com/Business/history-presidential-elections-affect-stock-markets/story?id=6185252
Wade, W. (2012). Scenario
planning: a field guide to the future.
John Wiley & Sons.
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