DATA SCIENCE

Data Quality & Forecast

Check the health of your opportunity data itself, and statistically forecast what's ahead from what's already happened.

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Data Quality Doctor

Auto-detects suspected duplicates, zero-amount open deals, and overdue-plus-long-inactive opportunities, with a pipeline health score out of 100. Click a flagged row to filter to that account.

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Win Pattern Analysis

Statistically compares won vs. lost deals across activity count, deal age, partner involvement, campaign origin, and amount — with rule-based commentary.

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ML Landing Forecast

Learns win rates by parent department (Laplace-smoothed) from your real win/loss history and predicts a statistical landing (median / optimistic) for open pipeline, backtested against past month-end snapshots.

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What-If Simulation

Model hypothetical scenarios — like "what if this at-risk deal actually closed" — on top of the statistical model.

Build a sales knowledge library, too

Battlecards and objection-handling libraries let your team share what actually wins deals.