Data analysis is the process of transforming the raw data into useful information to guide your business decisions and operations. It begins with identifying the issue you buy information app wish to solve, collecting the relevant data, then analyzing it using diverse techniques of statistical analysis to find the root patterns or connections. The result is often an increase in profitability or efficiency.

It is essential to first establish the goal. This could be as simple as a sales target or as complex as predicting the likelihood of customer churn. You will then have to decide on which kind of data analysis you will use to achieve your goal. Diagnostic data analysis seeks out known relationships between data points to explain observations, while predictive modeling uses past results to predict future outcomes.

The next step is obtaining the data, which can involve obtaining it from internal sources, such as CRM software, internal reports and archives. Importing external data could also be required, which entails working with data in multiple formats from various sources. Once you have the data you can begin preparing it for analysis by cleaning and organizing it, transforming it as needed, and analyzing it using different statistical techniques.

After the data has been analyzed then you must create a summary of the results and presents the findings in a simple format for your readers. This could require you to write for laypeople or collaborate with a statistician to translate technical concepts and procedures into easily understood text.