Data insight using a Power BI is fun.

1. Performance Insight:
   - Performance insight refers to the analysis of various metrics and key performance indicators (KPIs) to evaluate the success or effectiveness of a particular aspect of a business, such as a product, marketing campaign, or team.
   - It involves monitoring and assessing metrics like revenue, sales, customer satisfaction, and other relevant data to understand how well a particular area of the business is performing.
   - Performance insights help businesses identify areas for improvement and make data-driven decisions to optimize their operations.

2. Cohort Analysis:
   - Cohort analysis is a technique used in data analysis to study and compare groups of users or customers (cohorts) who share common characteristics or experiences over time.
   - For example, you can create cohorts based on the month a customer first signed up for a service. Then, you can analyze how the behavior and engagement of each cohort evolve over subsequent months.
   - Cohort analysis helps businesses understand user retention, customer lifetime value, and the impact of changes or events on different groups of users.

3. Scenario Event Analysis:
   - Scenario event analysis involves examining historical data to understand how specific events or scenarios have affected a business or system's performance.
   - Businesses use this analysis to model and predict the potential outcomes of different scenarios, which can be valuable for risk assessment and strategic planning.
   - For instance, a retail company might use scenario event analysis to evaluate how changes in pricing, seasonal events, or economic factors impact sales and profitability.

In summary, performance insight focuses on assessing the success of various aspects of a business, cohort analysis helps understand user behavior over time among different groups, and scenario event analysis involves studying historical data to assess the impact of specific events or scenarios on business performance. These techniques are essential for data-driven decision-making and strategic planning.