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Summary Pearson Edexcel A-Level Business Unit 3 - Business Decisions and Strategy - 3.3 Decision Making Techniques $3.97
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Summary Pearson Edexcel A-Level Business Unit 3 - Business Decisions and Strategy - 3.3 Decision Making Techniques
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  • Unit 3 - Business decisions and strategy (9BS0)
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This is a summary of section 3.3 of the Pearson Edexcel A-Level Business syllabus. The notes are organised according to the syllabus, split up under the headings: Quantitative Sales Forecasting; Investment Appraisal; Decision Trees; and Critical Path Analysis. Each section has a table of key terms ...

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  • November 27, 2018
  • 7
  • 2017/2018
  • Summary

Subjects

  • edexcel
  • a level
  • business
  • unit 3
  • investment appraisals
  • decisions trees
  • critical path analysis
  • theme 3
  • pearson
  • business decisions and strategy
  • decision making techniques
  • quantitative sales forecasting

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  • A/AS Level
  • PEARSON (PEARSON)
  • Business
  • Unit 3 - Business decisions and strategy (9BS0)
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3.3 – Decision Making Techniques


3.3.1 – Quantitative Sales Forecasting
Quantitative sales Numerical techniques used to predict future sales volumes and
forecastinng values
Time-series analysis A quantiifable technique that shows past sales ifngures in date
order to help inform sales forecastinng
Movinng averanges A quantitative sales forecastinng technique which shows whether
a trend is singniifcant by smoothinng out fuctuations in data
Scatter ngraphs A quantiifable technique that plots the relationship between two
variables to identify correlation in order to inform sales
forecastinng
Extrapolation Usinng past data to extend an identiifed trend into the future

Variation Actual data – trend data
Averange cyclical Total of all cyclical V’s for a quarter
variation Number of results for that quarter

Why Use Sales Forecastinngg
 Helpful when predictinng cash fow
 Good for planninng and ornganisinng e.ng. stock
 Helps with HR planninng e.ng. stafnng
 Can be used to set tarngets
 Helpful for planninng marketinng campaingns

3-Point Movinng Averanges
1. Collate raw sales data in time order (time series data)
2. Smooth out raw data usinng movinng averanges
3. Plot the movinng averanges (trend) on a ngraph and draw a
line of best ift to illustrate the trend
4. Extrapolate the line of best ift to forecast future sales




Plot the 3 point
movinng averange,
not the raw sales
data




 The past is not always a ngood indication of the future
 Sales will be infuenced by external infuences which are difcult to accurately
predict
 Unexpected events e.ng. new entrant into the market, supplier failure
 Quality of datag

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