5 tips to help you draw conclusions from data analysis
In this article I share 5 tips that will help you draw conclusions from data analysis. Unfortunately, there is no ‘magic bullet’ to make statistics and data analysis understandable and useful for research. But there are some things you can do to make sure everything runs smoothly and to avoid pitfalls.
Many marketers try to put the cart before the oman telegram data horse and perform complex analyses before spending time examining the data from a basic perspective. Data analysis will not always give you the answer to all your questions. Instead, look for opportunities that you can use from the research to take next steps.
1. View data with an open mindset
It is good to think in advance about what results you expect from a study. For example, based on previous studies or certain 'gut feelings'. This way you can search more specifically for the data that is relevant for your data analysis.
But it is important to be open to the fact that the data can also yield unexpected results . Don't see that as a wrong analysis. If you are open to learning new things from the data, you will draw the best conclusions from a data analysis.
2. Make clear what you can conclude: correlation or causation?
A question that statisticians have been asked for years, but that does not make it any less important: can you also draw a causal relationship from a certain analysis or is there only a correlation ? This is an important difference, because causality is often concluded too quickly from correlation. But what do these two terms actually mean.