Example request
“Analyse this monthly sales file. Show which regions improved or declined, identify the biggest month-on-month changes and flag any unusual values worth checking.”
Data analysis
Ask practical questions about a small business dataset and get findings that are grounded in the source data and calculations.
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The work problem
A fluent explanation is not useful if you cannot tell whether the numbers behind it were actually checked.
Example request
“Analyse this monthly sales file. Show which regions improved or declined, identify the biggest month-on-month changes and flag any unusual values worth checking.”
What the result looks like
This is an illustrative example of the structure and outcome, not a customer testimonial or a claim about a specific live result.
How it works
Use an .xlsx or .csv file containing the dataset you want to inspect.
Describe the comparison, pattern or issue you want to understand.
Inspect the findings alongside the underlying calculation context.
Useful outputs
Control and trust
Astraea Do is designed to inspect and calculate before explaining. Important findings should remain traceable to the data rather than appearing as unsupported conclusions.
Continue the work
The same workspace also includes writing, spreadsheets, analysis, summaries, visuals and planning, with connected handoffs between relevant tools.
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