Standardizes revenue data across billing and CRM systems, identifies cross-platform discrepancies, and delivers a clean dataset ready for forecasting and board reporting.
Standardize revenue data. Detect cross-system gaps. Deliver clean datasets for forecasting.
Standardizes customer names and SKUs across billing and CRM systems into a single consistent dataset.
Identifies mismatches between billing, CRM, and payment systems before they impact reporting.
Generates a clean, analysis-ready dataset for BI platforms and executive reporting.
Standardize fragmented customer records, SKUs, and billing identifiers across Stripe, Shopify, and CRM systems into a single consistent revenue dataset.
Identify discrepancies between closed-won deals, billed revenue, and collected payments before they distort forecasts or executive reporting.
Surface discrepancies in billing status, payment failures, and downgrade activity affecting recognized revenue.
Resolve inconsistent field names and data structures across exports without manual VLOOKUP logic or spreadsheet maintenance.
Generate a structured, analysis-ready revenue table built specifically for FP&A modeling and performance review workflows.
Deliver clean, formatted datasets compatible with BI platforms and executive materials without manual restructuring.
Designed for high-transaction companies operating across Stripe, Shopify, and CRM systems, where revenue data fragmentation delays forecasting and reporting.
Ingest raw exports directly from billing and CRM platforms without requiring complex integrations or engineering involvement.
Deliver standardized, variance-ready datasets compatible with BI platforms, Excel models, and executive reporting workflows.
