A data analysis report can help understand the raw information collected in the course of a business or research project. It analyzes how the information helps and supports an idea. It also aims at forming conclusions and help in making decisions.

Data analysis is comprised of two main approaches: descriptive analytics and inferential analyses. Descriptive analytics are concerned with the events that have occurred over the span of time. For example the number of views or sales of the particular product. Diagnostic analytics however, look at the reasons behind what has happened. This typically involves a range of data inputs, and some theories (e.g. how did the weather affect beer sales).

You must “scrub” the raw data before you begin to analyze it. This means eliminating duplicate observations and making sure all observations are complete and accurate. It can also include standardizing formats and identifying possible mistakes.

The next step is to convert the data into a simple graphical format. This can be accomplished using software for data mining or data visualization tools. It is crucial to think about your audience at this point, and. You might want to develop an explanation of the terms or glossary to explain your approach if readers don’t know the terminology.

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