📚 Help & Examples
Learn about supported data types and download sample files to get started
🚀 Quick Start Guide
1
Choose Your Domain
Select a sample file from the domains below or use your own data
2
Upload Your File
CSV or Excel files up to 10,000 rows. Click "Analyze Now" button
3
Get AI Insights
Download your interactive HTML report with charts and analysis
📊 Supported Domains
Healthcare
Patient data, wait times, satisfaction, diagnoses
AI-Powered Insights:
- Wait Time Performance: Average wait times, peak periods, performance benchmarks
- Patient Satisfaction: Satisfaction scores, high/low ratings analysis
- Common Diagnoses: Top conditions, visit patterns, case distributions
- Urgency Distribution: Emergency vs. urgent care levels
- Department Workload: Busiest departments, staffing recommendations
- Patient Flow & Outcomes: Admission rates, discharge patterns, critical issues
💡 Recommended Columns:
Patient Info:
Clinical:
Staff:
Metrics:
Organization:
Outcomes:
Need 3+ columns matching these terms for automatic healthcare detection
Patient_ID, Visit_Date, Admission_Date, Age, Gender
Clinical:
Diagnosis, Treatment, Procedure, Medication, Vital_Signs
Staff:
Doctor, Physician, Nurse, Provider
Metrics:
Wait_Time_Minutes, Satisfaction_Score, Length_of_Stay, LOS_Days
Organization:
Department, Ward, Unit, Clinic, Triage_Level
Outcomes:
Disposition, Outcome, Readmission, Recovery
Need 3+ columns matching these terms for automatic healthcare detection
Finance
Expenses, payments, cash flow, financial trends
AI-Powered Insights:
- Financial Overview: Total expenses/revenue, average transactions, ranges
- Transaction Patterns: Payment trends, amount distributions
- Cash Flow Analysis: Income vs. expenses over time
💡 Recommended Columns:
Transactions:
Accounting:
Money Flow:
Categories:
Payment Methods:
Payroll:
Need 2+ columns matching these terms for automatic finance detection
Transaction_ID, Date, Amount, Payment, Invoice
Accounting:
Account, GL_Code, Ledger, Journal, Receipt
Money Flow:
Credit, Debit, Balance, Revenue, Expense, Cost
Categories:
Category, Budget, Forecast, Actual, Variance
Payment Methods:
Bank, Check, Wire, ACH, Credit_Card
Payroll:
Salary, Wage, Gross, Net, Tax, Deduction
Need 2+ columns matching these terms for automatic finance detection
Sales
Revenue, products, customers, performance metrics
AI-Powered Insights:
- Revenue Performance: Total revenue, average transaction value, top performers
- Top Products: Best-selling items, revenue by product
- Customer Analysis: Purchase patterns, customer segments
💡 Recommended Columns:
Sales Core:
Products:
Customers:
Quantities:
Pricing:
Sales Process:
Organization:
SaaS Metrics:
Need 3+ columns matching these terms for automatic sales detection
Order_ID, Sales, Revenue, Deal, Booking, Contract
Products:
Product, Item, Service, SKU, Catalog
Customers:
Customer, Client, Account, Buyer, Purchaser
Quantities:
Quantity, Qty, Units, Volume, Count
Pricing:
Price, Cost, Discount, Margin, Retail, Wholesale
Sales Process:
Pipeline, Lead, Opportunity, Prospect, Conversion
Organization:
Territory, Region, Channel, Rep, Salesperson
SaaS Metrics:
MRR, ARR, Subscription, Renewal, Churn
Need 3+ columns matching these terms for automatic sales detection
Human Resources
Compensation, employee analytics, turnover
AI-Powered Insights:
- Compensation Overview: Median salary, pay ranges, equity ratios
- Employee Analytics: Headcount, tenure, performance metrics
- Turnover Analysis: Retention rates, departure patterns
💡 Recommended Columns:
Employee Info:
Employment:
Hiring:
Organization:
Position:
Compensation:
Benefits:
Performance:
Metrics:
Need 3+ columns matching these terms for automatic HR detection
Employee_ID, Staff, Worker, Personnel, Name
Employment:
Full_Time, Part_Time, Contractor, Temporary
Hiring:
Hire_Date, Start_Date, Recruit, Onboard, Join_Date
Organization:
Department, Division, Team, Manager, Supervisor
Position:
Title, Position, Role, Director, Reports_To
Compensation:
Salary, Wage, Pay, Bonus, Compensation
Benefits:
Benefits, Insurance, 401k, PTO, Vacation
Performance:
Performance, Rating, Review, Evaluation, KPI
Metrics:
Headcount, FTE, Turnover, Retention, Tenure
Need 3+ columns matching these terms for automatic HR detection
Inventory & Supply Chain
Stock levels, warehouses, supplier metrics
AI-Powered Insights:
- Stock Analysis: Inventory levels, low stock alerts
- Supply Chain Metrics: Lead times, supplier performance
- Reorder Patterns: SKU analysis, reorder points
💡 Recommended Columns:
Product IDs:
Stock:
Quantities:
Reorder:
Locations:
Supply Chain:
Operations:
Values:
Status:
Need 3+ columns matching these terms for automatic inventory detection
SKU, UPC, Barcode, Item, Product, Part
Stock:
Inventory, Stock, On_Hand, Available, Reserve
Quantities:
Quantity, Qty, Count, Units, Volume
Reorder:
Reorder_Level, Reorder_Point, Min, Max, Safety_Stock
Locations:
Warehouse, Location, Bin, Shelf, Aisle, Zone
Supply Chain:
Supplier, Vendor, Manufacturer, Shipment, Delivery
Operations:
Receiving, Fulfillment, Transfer, Cycle_Count
Values:
Cost, Value, FIFO, LIFO, Average_Cost
Status:
Status, Condition, Quality, Damaged, Expired
Need 3+ columns matching these terms for automatic inventory detection
General Data
Any structured data - smart universal insights
AI-Powered Insights:
- Dataset Overview: Record counts, dimensions, data types
- Data Completeness: Missing values, quality assessment
- Key Metrics: Automatic detection of important numeric/categorical fields
- Universal Analysis: Adapts to any CSV/Excel structure
✨ Special: Don't see your domain? No problem! Our AI automatically adapts to any structured data and provides relevant insights.
📋 File Requirements
✅ Supported Formats
- CSV - Comma-separated values (.csv)
- Excel - Microsoft Excel (.xlsx, .xls, .xlsm)
✅ Best Practices
- Use clear column headers in the first row
- Keep data consistent within each column
- Include date columns for time-series analysis
- Use numeric columns for metrics and KPIs
⚠️ Limitations
- Maximum rows: 10,000 rows per file
- File size: Keep files under 50 MB
- Column limit: Up to 100 columns recommended
💡 Tips
- Remove empty rows and columns before uploading
- For large datasets, split into smaller files
- Use consistent date formats (YYYY-MM-DD)
- Avoid special characters in column names