3.3 - Decision making techniques Flashcards
Define Quantitative sales forecasting
Is a statistical technique which uses past data to make predictions about the future, in terms of sales
What does Quantitative sales forecasting allow a business to do
Prepare for potential increases and decreases in demand
Organise production
Organise resources (employees, premises and raw materials)
Organise marketing
Explain what a moving average is and what it consists of
Is a succession of averages derived from successive segments of a series of value. There are three period moving averages (sales average over 3 years) and four quarter moving averages (average sales over 4 quarters of the year)
Explain the use of a line of best fit for QSF
Can be drawn on a QSF graph to see the general trend in sales over the time period to show an overall change in sales
Explain what a scatter graph is
Shows the performance of one variable against another independent variable on a variety of occasions, used to show whether a correlation exists
What are the limitations of quantitative sales forecasts (6)
Past performance is no guarantee of future sales
Businesses also need to take into account SWOT and PESTLE factors which can effect future predictions
Use of moving averages can be outdated
Extrapolating can be inaccurate and unreliable
Is a Time consuming and complex process
In dynamic markets there is rapid change and products have short life cycles , extrapolating may not be appropriate
What is a correlation coefficient
Is used to show the relationship in correlation between two variables.
A +1 means a positive relationship in correlation between the two variables and -1 means a negative relationship
Define a decision tree
Is a technique which shows all possible outcomes of a decision , to analyse the probability of success. Is a quantitative approach
When may a business use a decision tree (3)
A new product launch
A new marketing campaign
Relocation to a new building
Explain a decision point as part of a decision tree
Are points at the start of a decision tree where decisions have to be made, represented by squares
Explain a chance node as part of a decision tree
Are the points where there are different possible outcomes in a decision tree, represented by circles
Explain a probability/chance as part of the decision tree
Is the likelihood of possible outcomes happening , represented by a probability, sourced from backdata
Explain the expected monetary values as part of the decision tree
Give the formula for the expected value
Is the financial outcome of a decision, based on predicted profits or loss
Expected value = success + failure
Give the formula for the net gain in a decision tree
Expected value - cost
Explain the advantages of decision trees for businesses (3)
Constructing the tree diagram may show possible causes of action not previously considered
Involves placing numerical values on decisions, improving results
Force management to take account of the risks involved in decisions