AI business analytics can read exported or connected data, calculate useful metrics and explain patterns in a report. A skill or workflow makes the analytical steps and output format repeatable across new data periods.
Reliable analytics needs validated inputs, explicit metric definitions and checks against source data. Generated explanations should distinguish measured results from inference and preserve enough evidence for a person to audit the report.
ELI5
AI business analytics uses AI to help turn organizational data into measurements, patterns and repeatable reports. The workflow can calculate agreed metrics and draft explanations for people making decisions.
For example, an analytics workflow may read monthly sales data, calculate revenue by product and describe the largest changes. A person should verify the source rows, formulas and metric definitions and separate measured facts from the AI's interpretation.
