Overview
Financial data requires precision and context. SkoutLab helps finance teams move beyond reporting to understanding — finding the “why” behind the numbers.Common Questions
Performance
- Why did margins change?
- What’s driving cost increases?
- Where are we over/under budget?
Trends
- How are unit economics evolving?
- What’s the runway impact?
- Are expenses scaling efficiently?
Anomalies
- Are there unusual transactions?
- What’s causing variance?
- Are there data quality issues?
Planning
- What drives forecast accuracy?
- Where are budgets typically off?
- What assumptions need revisiting?
Example: Margin Analysis
Question asked:“Why did gross margin decline from 68% to 62% this quarter?”What SkoutLab found:
Finding 1: Product mix shift
Finding 1: Product mix shift
Status: Confirmed (explains 4 of 6 points)Lower-margin products grew 34% while high-margin products grew only 8%. The product mix alone accounts for 4 percentage points of margin decline.Recommended action: Review pricing strategy for growing product lines
Finding 2: Infrastructure costs increased
Finding 2: Infrastructure costs increased
Status: Confirmed (explains 1.5 points)Cloud infrastructure costs up 28%, outpacing revenue growth of 18%. Cost per customer increased from 15.Recommended action: Engineering review of infrastructure efficiency
Finding 3: One-time professional services
Finding 3: One-time professional services
Status: Confirmed (explains 0.5 points)$180K in consulting fees for compliance project. Non-recurring expense affecting current quarter only.Recommended action: No action — one-time expense
Data You’ll Need
| Data | Why It Helps |
|---|---|
| P&L / Income Statement | Revenue and expense breakdown |
| Budget/Forecast | For variance analysis |
| Transaction details | Line-item analysis for anomalies |
| Historical periods | Trend and seasonality detection |
Finance-Specific Capabilities
Variance Analysis
SkoutLab automatically:- Compares actual vs budget/forecast
- Identifies largest drivers of variance
- Distinguishes one-time vs recurring impacts
Anomaly Detection
Flags unusual patterns:- Transactions outside normal ranges
- Unexpected category spikes
- Missing or duplicate entries
Trend Analysis
Identifies:- Metric trajectory (improving, declining, stable)
- Seasonality patterns
- Inflection points
Tips for Financial Analysis
Specify Periods
“This quarter vs last quarter” or “YoY” gives context
Name Metrics
“Gross margin” is clearer than “profitability”
Include Benchmarks
Mention targets or thresholds you care about
Layer Analysis
Start with summary, then drill into specific line items