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What is Data Analysis and Reporting?

Before covering the different roles of reporting and analysis, let's start with some high-level definitions of the two key areas of analysis.

Reporting: The process of organizing data into a summary of the information to monitor how the different areas of the business are performing. If you want to know more about data analysis and reporting then you can search various online sources.

Analysis: The process of exploring the data and reports to extract meaningful insight, which can be used to better understand and improve business performance.

Reporting translates raw data into information. Analysis transform data and information into insight. Reporting helps companies to monitor their online business and alert when the data falls outside the expected range.

Good reporting should raise questions about the business of the end-user. The goal of the analysis is to answer the question by interpreting the data at a deeper level and provide actionable recommendations.

Through the process of analysis, you may pose additional questions, but the goal is to identify the answer or answers the least potential that can be tested. In short, the reporting shows you what happens when the analysis focused on explaining why it happened and what you can do about it.

When you see the reporting and analysis of submissions, on the surface they may look the same – lots of tables, graphs, trend lines, tables, statistics, etc.

However, there are some subtle differences. One major difference between reporting and analysis is the overall approach.

Reporting follows the push approach, where users are encouraged to report who is then expected to extract meaningful insight and take appropriate action for themselves (for example, serve yourself).