Sample workspace — no upload needed
This is a pre-loaded demo showing a completed analysis of a fictional monthly sales file. All 6 workflow steps and the October → November comparison are ready to explore. Charts and AI features require a real workspace.
Demo workspace
Acme Retail — November 2024 Sales
Analysis workflow
Intake → Cleaning → Health → Findings → Compare (Oct vs Nov) → Report
Dataset intelligence, executive summary, and file intake
Executive overview
Consultant-ready snapshot of this dataset — refine details in each workflow tab.
General dataset
100%
Across findings
74
Grade B
847 × 12
rows × columns
5
3
Findings tagged for client reports
Business story
November sales data shows a 12% revenue decline vs the Q3 average, driven primarily by a weak final week. Customer concentration remains high — three accounts account for two-thirds of revenue. An order volume spike on Nov 3rd requires client verification before the report is finalised.
Key findings
- Revenue declined 12% vs prior 3-month averagehighReport-ready100% conf.
Investigate Q4 pipeline velocity — check whether deals slipped to December or were lost.
- Top 3 customers account for 68% of total revenuehighReport-ready100% conf.
Flag in client summary. Review account health and renewal pipeline for the top 3.
- Unusually high order volume on Nov 3rd — possible batch importmediumReport-ready100% conf.
Verify source data for Nov 3rd with the client before including in final report.
- 8.4% of rows missing region valuesmedium100% conf.
Ask the client to provide missing region values before running geographic analysis.
- Higher discounts correlate with smaller orders (r = −0.74)low100% conf.
Review discount approval workflow to ensure high-value orders aren't being systematically under-discounted.
Chart previews
Recommended actions
Based on: Revenue declined 12% vs prior 3-month average· Report-ready
Investigate Q4 pipeline velocity — check whether deals slipped to December or were lost.
Top 3 customers account for 68% of total revenue
Flag in client summary. Review account health and renewal pipeline for the top 3.
Unusually high order volume on Nov 3rd — possible batch import
Verify source data for Nov 3rd with the client before including in final report.
Client deliverable
Pull findings into the report builder, then export PDF or Excel.
Rows
847
Columns
12
Numeric
2
Categorical
0
Missing
2.1%
Data quality
Health score, dimensions, and readiness signals for this dataset.
Data quality report
Grade BGood — minor issues to review
Score breakdown
Completeness
78.0/30
Uniqueness
82.0/20
Consistency
71.0/20
Validity
80.0/15
Structure
59.0/15
Client readiness
Missing data is under 1% — minimal impact on analysis
No duplicate rows detected
No critical structural issues detected
Score deductions
8.4% of rows have missing region values
customer_id has format variations (numeric vs. alphanumeric)
What looks healthy
Completeness is strong — very few missing values
Uniqueness is strong — minimal duplicates
Data formats are consistent
Value distributions look normal
Column structure is clean
Cleaning summary
Metrics from this run only.
Cleaning steps
5
Type conversions
1
Normalized dtypes in pipeline.
Suspicious columns
1
Review below or in Cleaning.
Duplicate rows removed
12
Top Highlights
Revenue declined 12% vs prior 3-month average
Total revenue for November ($124,300) is 12.1% below the Q3 average ($141,400). The decline accelerated in the final week, with the last 7 days contributing only 18% of monthly revenue vs a typical 27%.
Top 3 customers account for 68% of total revenue
Acme Corp ($42,100), Bright Future LLC ($25,800), and Metro Group ($17,300) together represent 68% of November revenue. Loss of any one account would materially impact the bottom line.
Unusually high order volume on Nov 3rd — possible batch import
November 3rd recorded 87 orders — 4.2× the daily average of 21. No corresponding revenue spike was observed, suggesting possible duplicate entries or a bulk import.