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Business intelligence / Overview
Make your data easier to act on.
QDA-Hub turns raw business data into a calm, useful view of what changed, what needs attention, and what to do next.
A clearer starting point
Understand your business data in minutes.
Upload a CSV, TSV, or JSON file and QDA-Hub will profile it, clean the obvious issues, and surface the patterns that deserve your attention.
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ImportBring in the data you already use.
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AnalyzeQDA-Hub finds structure and signals.
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ActGet a plain-language next step.
Overview
A grounded read of your active dataset.
Fields detected
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Columns available to explore
Missing values
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Empty cells in active rows
Change over time
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Add ordered values to compare
QDA-Hub executive brief
A concise explanation of the active dataset.
What we know right now
Upload a dataset to generate an evidence-based summary. QDA-Hub will only describe patterns supported by the data you provide.
Total value—
Total profit—
Losses—
Numeric fields0
- Revenue or value: not mapped yet.
- Profitability: not mapped yet.
- Data quality: waiting for a dataset.
Data health
How ready this dataset is to trust.
—out of 100
Completeness—
Fields detected—
Data readyWaiting
What needs your attention
Signals will appear here once QDA-Hub has data to evaluate.
No findings yet
Import a dataset to check for missing values, unusual changes, and relationships worth investigating.
Recommendations stay evidence-based
QDA-Hub will explain what it can support and call out when there is not enough data.
What would you like to understand?
Start with a business question.
Decision center
Automatic findings grounded in the active dataset.
What matters now
Signals are ranked by observable impact, not generated filler.
Upload a dataset to automatically check trends, missing values, duplicates, outliers, losses, and relationships.
Business model detected
QDA-Hub maps fields before it makes a recommendation.
No semantic roles detected yet.
What should happen next?
Practical follow-ups generated from the same evidence.
Recommendations will appear after the dataset has been profiled.
QDA command center
Run a focused analysis without knowing data science terminology.
Upload a dataset to activate the command center.
What-if decision lab Explicit assumptions
This simulator applies the percentages to the observed mapped totals. It does not claim causality or predict customer behaviour.
Choose a supported metric and enter an assumption to compare a scenario.
Explore a pattern
Use the recommended view first, then customize it when you know what to investigate.
Upload a dataset to create a useful chart.
Data preview
No data loaded
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Relationships
When numbers move together, it can point to a useful question — not proof of cause.
No numeric fields available yet.
Data controls and column mapping Advanced
Import and clean
Make safe, reversible choices before analysis.
Column mapping
Tell QDA-Hub which fields represent your business metrics.
Exports and context
Keep a portable copy of the cleaned work.
Your raw file is processed in the browser for this page. AI is optional and only receives the context needed for your question.