Presenting & Using Market Research Data
Presenting Market Research Data
Presenting market research data
Once market research data has been gathered, it need to be converted into a form which is easy to understand and capable of being used to support business decision-making
Common methods of presenting data include:
Tally charts
Bar charts
Pie graphs
Scatter graphs
Information presented in graphs and charts is often easy to understand because it is presented visually
The type of data that has been collected and what it is to be used for will affect the form of presentation which will be used
Quantitative data tends to be relatively easy to present in a chart or graph
Qualitative data may be better presented in a report
1. Tally charts
A table or tally chart, is a simple method used to record data in its original form
It is particularly useful for recording frequency of an event as it is happening
E.g., It may be used to record the number of customers entering a retail store
Each time a particular event happens, a small vertical line is drawn
Groups of five occurrences are recorded with a diagonal line through four vertical lines
These groups of five can be easily totaled to identify frequency
In many cases, tally chart data is converted into a chart or graph to make it more visually appealing
2. Bar charts
This bar graph provides a clear picture of umbrella sales between January and April and allows a manager to compare sales month by month

3. Pie charts
This pie chart breaks down all umbrella sales into those achieved by different models
It shows that more than half of sales were 'Ultra' umbrellas

4. Scatter graphs
Scatter graphs allow relationships between two variables to be identified
The scatter graph on the right shows that there is a positive correlation between the temperature and sales of barbecues
As the temperature increases, sales of barbecues increase
A line of best fit would allow a business to extrapolate the known data to identify likely sales of barbecues at other temperatures

Analysing Market Research Data
Analysing market research data
Quantitative data is statistical numeric data that can be used to support decision making
Quantitative data needs to be accurate and interpreted correctly if it is to be useful
It may be collected from primary or secondary sources
Sources of quantitative data include
Financial reports
Survey findings
Marketing or sales data
Statistical research from the government or research organisations
Qualitative research data often requires considerable skill and insight to be interpreted appropriately
It involves comparing and drawing conclusions from opinions, insights, feelings and preferences
It is mainly collected from primary sources such as focus groups, detailed surveys/interviews and test marketing
Both forms of data can help business managers forecast sales, identify trends and make decisions about product development, promotional planning, pricing tactics and other important marketing mix elements