Use case · analytics and BI
Text analytics and BI testing with controlled document sets.
Text becomes useful in a dashboard only after it has been classified, grouped, counted, and explained. Controlled document sets help teams verify those transformations before real data is connected.
The testing job
Check the path from document to chart.
A dashboard can look polished while silently dropping categories, merging synonyms, or counting the wrong time period. Use documented synthetic cases to test aggregation and interpretation together.
- Sentiment and topic trend calculations
- Synonym and category grouping
- Speaker, source, and time-based aggregation
- Missing values and unusual text distributions
Useful checks
Make every metric traceable.
Compare source documents, extracted fields, grouped results, and final visualisations. A reviewer should be able to explain how a document affected the number shown to a user.
Deniable approach
Controlled variation reveals silent data loss.
Human input and creative scenario design create cases that challenge aggregation without claiming to represent a particular market or customer population.