Secondary data is information that already exists because it was collected for another purpose, so rather than starting from scratch with a new survey or interview, researchers can use records or reports created by someone else. This can make research a lot quicker and easier.
Where secondary data comes from
We can get secondary data from a range of places, but for organisations, these are categorised as either internal, like sales records or website analytics, or external ones like industry reports or government statistics. Organisations can also use info gathered by a data collection company like this example https://shepper.com when reports include checks carried out across different locations.
Why it can be useful
Basically, it’s useful because it’s much easier – data has already been collected, so researchers can spend more time analysing it and less time organising and actually collecting it. Large datasets may reveal long-term trends or patterns that would be difficult to reproduce through a smaller project.
Secondary data is useful for early research. It can help clarify a question, identify gaps in knowledge or show whether collecting fresh information is necessary.
What should be checked
Existing data obviously wasn’t created for your specific project, so it’s not going to fit perfectly; look into factors such as who collected it, when it was produced, how the sample was chosen and whether important details are missing.
With secondary data, the key is knowing what the information can genuinely tell you and checking where it came from, but it can provide valuable insight and help shape what research needs to happen next.
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