Strategic Analysis
Your CFO Asks Why Revenue Dropped. Fig Answers in 30 Seconds.
Most tools return a number. Fig runs the full analysis — breaking down what drove the change, which segments are responsible, where concentration risk lives, and what to do next. Twelve purpose-built analysis engines, selected automatically for your question.
The Problem
Your Team Spends 3 Days Building Pivot Tables. Fig Does It in 30 Seconds.
When your CFO asks "why did revenue drop?", a data query returns a number. But the real answer requires decomposing the change into volume, price, and mix effects. It requires checking whether the drop is concentrated in a few accounts or spread broadly. It requires comparing this quarter's customer retention against prior quarters.
These are analysis problems — and they require structured thinking about what question to ask, how to frame the calculation, and how to present results in business context.
Most AI tools convert your question into a database query and stop there. Fig goes further: it identifies the right type of analysis for your question, runs it against your warehouse, and returns a structured answer with evidence.
Raw Data Query
Revenue is $4.2M
Basic AI
Revenue dropped 12% vs. last quarter
Fig Analysis
Revenue dropped 12% — 70% driven by volume decline in Enterprise segment, 20% by pricing pressure in APAC, 10% by mix shift toward lower-value products
The Analysis Library
12 Ways to Answer a Business Question. Zero Guesswork.
Each analysis type is purpose-built for a specific kind of business question. Fig selects the right one — or chains several together — automatically based on what you ask.
Concentration Analysis
Calculates
Which customers, products, or channels account for the most revenue — and how concentrated your business is in a small number of them.
When Fig Uses It
When you ask about your top accounts, biggest risks, or how dependent you are on a few key relationships.
Example: Identify that your top 3 customers represent 52% of revenue so that you can quantify churn risk and diversify proactively.
Growth Analysis
Calculates
How performance this period compares to any prior period, ranked from fastest-growing to fastest-declining.
When Fig Uses It
When a question involves change over time across segments or categories.
Example: Rank product lines by growth rate so that you can double down on winners and investigate laggards.
Variance Analysis
Calculates
Which results are significantly above or below what was expected — actual vs. plan, or actual vs. historical average.
When Fig Uses It
When you need to find what's out of line — what's significantly above or below where it should be.
Example: Surface the 4 regions spending significantly over budget so that finance can investigate before the quarter ends.
Metric Trend
Calculates
How a metric has moved over time — monthly, weekly, or quarterly — with direction and rate of change.
When Fig Uses It
When questions involve 'over time,' 'trend,' or 'trajectory.'
Example: Visualize monthly churn rate across 12 months so that you can spot seasonal patterns and plan retention campaigns.
Metric Comparison
Calculates
Side-by-side performance across regions, teams, products, or any other dimension — with absolute and percentage differences.
When Fig Uses It
When comparing performance across regions, teams, products, or any dimension.
Example: Compare revenue per customer across enterprise, mid-market, and SMB segments so that you can validate pricing strategy.
Top-N Ranking
Calculates
Best and worst performers on any metric, ranked from highest to lowest with relative positions.
When Fig Uses It
When questions ask for 'best,' 'worst,' 'top,' or 'bottom' performers.
Example: Rank sales reps by quota attainment so that you can identify coaching opportunities and replicate top-performer behaviors.
Distribution Analysis
Calculates
How a metric is spread across a population — where most values cluster, where the outliers are, and whether the distribution is healthy.
When Fig Uses It
When you need to understand the shape of a metric — not just the average, but the full range.
Example: Map deal-size distribution so that you can set realistic targets and identify whether your pipeline is healthy or top-heavy.
Rate Analysis
Calculates
Conversion rates, churn rates, retention rates, and win rates — with period-over-period changes.
When Fig Uses It
When questions involve percentages, rates, or ratios that measure how well something is working.
Example: Calculate monthly churn rate by customer segment so that you can prioritize retention efforts where they matter most.
Driver Analysis
Calculates
Which factors caused a metric to change — breaking the change into contributing pieces with their relative size.
When Fig Uses It
When you need to explain why a metric changed, not just by how much.
Example: Decompose the $2.3M revenue shortfall into price, volume, and mix effects so that you can assign accountability to the right teams.
Composition Analysis
Calculates
What share of a total each segment, channel, or category contributes — and how that mix has shifted.
When Fig Uses It
When questions ask about breakdown, mix, or share of total.
Example: Break down revenue by channel so that you can understand the true cost of each acquisition path.
Funnel Analysis
Calculates
Conversion at each stage of a sequential process — from lead to close, from trial to paid, from inquiry to appointment.
When Fig Uses It
When questions involve sequential steps like sales pipelines, marketing funnels, or customer journeys.
Example: Map the lead-to-close funnel so that you can identify the stage with the biggest drop-off and fix it first.
Cohort Analysis
Calculates
How groups of customers acquired in the same period behave over time — and how that compares across cohorts.
When Fig Uses It
When questions involve retention, loyalty, or how customer behavior evolves after acquisition.
Example: Compare Q1 vs. Q2 customer cohort retention so that you can measure whether onboarding improvements actually moved the needle.
How It Works
How Fig Knows Which Analysis to Run
Fig doesn't guess. It reads your question, identifies what kind of business problem you're solving, and selects the right analysis for the job — before touching your data.
Fig Understands What You're Actually Asking
Fig reads your question and identifies the business intent: are you asking about concentration, trend, comparison, ranking, or something else? The same question can mean very different things — Fig figures out which one you mean.
Fig Picks the Right Analysis
Based on what you're asking and the structure of your data, Fig selects the right analysis engine. A concentration question triggers Concentration Analysis. A 'why did X change?' question triggers Driver Analysis. You don't have to know which to choose — that's Fig's job.
Fig Returns a Structured Answer with Evidence
Fig runs the analysis against your warehouse and returns a structured result with specific numbers — not vague summaries. Every finding tells you what it's based on and how confident Fig is, so that you can trust the answer and act on it.
Fig Picks the Right Tool. The Tool Does the Math. Every Time.
Unlike AI tools that freeform their way to an answer (and sometimes invent numbers), Fig's analysis engines are fixed, tested calculation paths. When Fig selects "Concentration Analysis," it runs the same calculation the same way every time. The AI decides which analysis to run. The analysis does the actual math. So the numbers are always reliable.
Chained Analysis
Multi-Phase Business Review
The real power isn't any single algorithm — it's how Fig chains them. Ask "give me a quarterly business review" and Fig runs a multi-phase analysis that would take an analyst days.
Phase 1
Baseline & Trend
Fig runs Metric Trend on your core KPIs to establish what happened over the review period.
Phase 2
Decomposition
For any KPI that moved significantly, Fig runs Driver Analysis to explain why it changed.
Phase 3
Deep Dives
Fig follows up with targeted analyses: concentration checks on key accounts, funnel analysis on conversion, cohort retention on new customers.
Phase 4
Synthesis
Fig combines all findings into a structured report with executive summary, detailed findings, and recommended next questions.
Result: A complete business review with trends, drivers, risks, and recommendations — in minutes, not days.
Explore the Platform
Metric Relationship Tree
Causal map of what drives what in your business
Learn moreMetric Definitions
Versioned, approved metrics for every agent and team
Learn moreBusiness Policies & Rules
Your business logic enforced on every query
Learn moreBusiness Entities
Accounts, customers, products resolved across sources
Learn moreFlows
Signal → Decide → Act automated end-to-end
Learn moreMonitoring
24/7 anomaly detection with automatic root cause
Learn moreRoot Cause Analysis
Automated causal chain tracing
Learn moreIn-Memory Cache
Reduce warehouse costs, sub-second answers
Learn moreReady to Move Beyond Basic Queries?
Free forever — no credit card required. Connect your warehouse, ask your first business question, and see structured analysis in action.