What kind of data analytics does Power BI primarily provide?

Power BI primarily provides descriptive, diagnostic, and predictive analytics, making it a versatile tool for data analysis.

Descriptive analytics is utilized to summarize historical data and provide insights into what has happened in the past. It helps in creating visual reports and dashboards that display key performance metrics. Diagnostic analytics goes a step further by exploring the reasons behind past performance, allowing users to understand why certain trends or outcomes occurred. This may involve drilling down into the data to identify patterns or significant contributors to trends.

Predictive analytics is also a crucial component of Power BI. It leverages statistical models and machine learning techniques to forecast future trends based on historical data. This capability enables users to make informed decisions by anticipating future scenarios.

The inclusion of all three levels of analytics—descriptive, diagnostic, and predictive—allows users of Power BI to not only analyze past performance but also understand underlying factors and make forecasts, ultimately supporting more strategic decision-making.