Financial Reporting Data Pipeline. @financial-reporting-pipeline

Finance teams at product companies spend close week exporting operational data into spreadsheets and arguing about which numbers are right. The Financial Reporting Data Pipeline sprint builds the controlled path instead: transactions, refunds, fees, and payouts extracted from operational systems and providers, transformed into a finance-grade model, and delivered as datasets the close actually runs on.

Control is the point — every load is complete or visibly failed, transformations are versioned and documented, and figures trace back to source records. The finish state: finance pulls revenue, settlement, and reconciliation datasets from the pipeline on schedule, and the spreadsheet chain is retired.

Source Extraction & Normalization

Automated extraction from your application database, payment providers, and billing systems, normalized into consistent transaction records with currency and timezone handling settled once.

Finance Data Model

Revenue, fee, settlement, and balance structures modeled to your accounting policy — accrual mappings, deferred revenue treatment, and category rules agreed with finance.

Controls & Completeness Checks

Row-count and amount reconciliation between source and output on every run, late-arriving-data handling, and alerting when a load fails or diverges.

Close-Ready Outputs

Scheduled datasets and summary reports shaped for the monthly close, journal preparation, and audit queries — delivered to your warehouse or BI tool.

1. Scope — Map sources, accounting policy, and the close process; fix the data model and the control checks with finance.
2. Build — Build extraction, transformation, and controls; validate outputs against past closed periods until they agree.
3. Handover — Run one close in parallel with the old process, then hand over documentation, lineage, and operational runbooks.

The Financial Reporting Data Pipeline is a menu item on the Scrums.com delivery catalog, available at every plan tier. Add it to your plan backlog and your delivery team schedules it like any other item — scoped, tracked, and reported through the SEOP. See Delivery Plan Tiers.

Does this replace our accounting system?

No — it feeds it. The pipeline produces finance-ready datasets and journal inputs; your ERP or accounting platform remains the book of record.

What if our transaction data is messy?

Expected — the validation against past closed periods surfaces the mess early, and the sprint fixes mapping and data-quality issues as part of getting outputs to agree. Unfixable source gaps are documented, not hidden.

How does this relate to reconciliation automation?

The Payment Reconciliation Automation matches individual provider events to records; this pipeline aggregates controlled data for reporting and close. They share sources and are often run as consecutive menu items.