8 Stages of Data Analysis - Global Information 3.4

The General Reference
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There are 8 stages of data analysis.

When analysing data, it is important to follow specific steps to ensure the correct conclusions are drawn. These stages must be completed in order:

  • Identify the need:
    • First, determine what information is needed and the possible conclusions that can be drawn from it, once it is collected
  • Define scope:
    • What are the constraints of the process? What are the limitations? These could include timescales, content, budget and amount of detail required
  • Identify potential sources:
    • Determine the potential sources that can be used to retrieve data for analysis. This will speed up the research process later and will also make citations easier.
  • Source and select informaiton:
    • Judge the accuracy and bias of the sources. Make sure the informaiton is high quality. Sort the sources in order of reliability and select the best one
  • Select appropriate tools:
    • Determine which analysis tools will be most useful for the task. These could include charts, graphs and studying trends
  • Process and analyse data:
    • Create models and graphs from the data. Visualise it so it is easier to understand. Create a table or spreadsheet and produce a graph from it.
  • Record and store information:
    • Turn the raw data into information. Produce reports or studies analysing the data and draw conclusions from it.
  • Share results:
    • Send conclusions to interested parties, possibly sharing a report document to the stakeholders and share findings from the analysis process. 

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