Analysis vs Reporting

Analysis is the technique of examining data and reports to obtain actionable insights that can be used to comprehend and improve business performance. Business users may gain insights from data, recognize trends, and make better decisions with analytics. On the one hand, analytics is about finding value or making new data to help you decide. This can be performed either manually or mechanically. Next-generation analytics uses new technologies like AI or machine learning to make predictions about the future based on past and present data. The steps involved in data analytics are as follows:

• Developing a data hypothesis
• Data collection and transformation
• Creating analytical models to analyze and provide insights
• Utilization of data visualization, trend analysis, deep dives, and other tools.
• Making decisions based on data and insights

On the other hand, reporting is the process of presenting data from numerous sources clearly and simply. The procedure is always carefully set out to report correct data and avoid misunderstandings.

Some key differences between analytics and reporting are:

Analytics	Reporting
Analytics is the method of examining and analyzing summarized data to make business decisions.	Reporting is an action that includes all the needed information and data and is put together in an organized way.
Questioning the data, understanding it, investigating it, and presenting it to the end users are all part of analytics.	Identifying business events, gathering the required information, organizing, summarizing, and presenting existing data are all part of reporting.
The purpose of analytics is to draw conclusions based on data.	The purpose of reporting is to organize the data into meaningful information.
Analytics is used by data analysts, scientists, and business people to make effective decisions.	Reporting is provided to the appropriate business leaders to perform effectively and efficiently within a firm.

Source: https://www.epiuselabs.com/lets-talk-hcm/qm-vs-wfa