Multi-source data normalization, validation, trend analysis, and automated reporting. Turn messy vendor data into clean, actionable insights.
Entity resolution powered by Rosetta v2. Maps variant names across vendors to your canonical taxonomy — learns from every correction.
Sentinel checks every dataset against configurable rules and historical patterns. Catches anomalies before they reach your reports.
Pathfinder traverses dimensions laterally and hierarchically to find why metrics shifted — even when the signal appears at a different level than its source.
Brief compiles analysis into formatted reports, slide-ready data, and chart configurations matching your templates.
Define your sources, dimensions, and taxonomy
Rosetta maps vendor data to canonical entities
Sentinel flags anomalies and quality issues
Pathfinder investigates, Brief compiles output
Entity resolution and data normalization engine. Maps variant names across sources to a canonical taxonomy with configurable dimensions.
Data validation engine. Checks normalized data against configurable rules and historical patterns to flag anomalies.
Automated anomaly investigation. Traverses dimensions laterally and hierarchically to identify root causes of data shifts.
Presentation compiler. Transforms analysis outputs into formatted reports, slide-ready data, and chart configurations.
Account health monitoring engine. Tracks order frequency, volume trends, SKU adoption, and reorder consistency to score account health and flag at-risk clients before they churn.
Growth opportunity detector. Identifies whitespace (products accounts should buy but don't), win-back opportunities (lapsed purchases), and cross-sell signals by analyzing account-product matrices.
Sales-ready output compiler. Combines health scores, opportunities, and data into structured account reviews, QBR decks, territory plans, and rep scorecards. Template-driven for repeatable output.
Turn messy vendor data into clean, actionable insights.