The process of identifying and collecting data to be viewed and modelled, in the aim of discovering patterns or trends that can be used for conclusions and decision-making
Stages of data analysis
1. Identify the need
2. Define the scope
3. Identify potential sources
4. Source and select information
5. Select the most appropriate tools
6. Process and analyse data
7. Record and store information
8. Share results
Identify the need
Objectives are set for what the data analysis will hope to achieve. Aims must be clear and well defined.
Define the scope
Restrictions of the project are defined, including factors such as budget, content, detail, timescales (deadlines) and any further constraints.
Identify potential sources
A wide range of sources for the potential information are identified, ensuring that it is unbiased and covers the objectives.
Source and select information
Information is gathered from the identified sources, and any unsuitable data is excluded so that results are not unreliable.
Select the most appropriate tools
The most appropriate data analysis tool for the project is selected, such as charts, graphs, regression analysis, or trend analysis.
Process and analyse data
Data is inputted into software such as spreadsheets or databases to further analyse, and patterns or trends are discovered.
Record and store information
Findings are written into a report, with statistical evidence generated from the analysis.
Share results
The report is shared with stakeholders, such as through a typed document, email, or website post.
