3.3.1 Quantitative sales forecasting Flashcards
what is quantitative sales forecasting?
a statistical technique which uses data to make predictions about the future sales of a business
what is time series analysis used for?
by using historical data, businesses can make better predictions for the future
what are the 4 components which are included in time series data?
Trend
Seasonal Fluctuations
Cyclical Fluctuations
Random Fluctuations
what is QSF information used for?
- Organise production
- Organise resources in the business e.g. employees,raw materials
- Organise marketing to back up the sales predictions
How can we identify the trend in our data?
we need to smooth out the raw data by using a three period moving average and a four period moving average
then work our a seasonal variation
How do we work out a three period moving average?
- Add data from first three years and then continue moving down one by one & putting the total into the middle value column
- Work out the averages by dividing each value by 3
How do we work out a four period moving average?
using 8 sets of data & centering
-take 1st 4 pieces of data & add them together, continue missing out one each time until reach the end of the data set
-add the summed data from year 1-4 to year 2-5 and so on until the end
-divide the total summed data by 8 to get the 4pma
How do we work out seasonal variation?
SV = Actual Sales - Trend
what is meant by seasonal variations?
a method of improving the accuracy of predictions by identifying the average variation over a certain time period & take this into account when making business decisions
what is the reason that a firm can recognise the variations that regularly occur throughout months of the year?
seasonality of products/services/employees
what are some limitations to QSF?
-past performance is no guarantee of the future
-Business need to appreciate the SWOT & PESTLE factors that may affect future predictions
-less relevant in dynamic markets due to high rates of change and with products with short life cycles -> extrapolation can be misleading
-time consuming
How can QSF be more reliable?
used for a short period of time in the future e.g. 3 months
they are revised frequently
Market research data is available
Market is slow changing
those preparing the qsf have a good understanding of the data
what are some strengths of QSF?
provide indications of likely future trends
helps businesses prepare for variations they may face
does a scatter graph require a line of best fit?
yes it does
to show the relationship of the correlation
Why as a business director should you know how to interpret scatter graphs?
to study the relationship between spend on marketing and sales