The SwitchGuard SQL Querry Library

Most payment teams know something is wrong. Transactions are failing, revenue is leaking, and the dashboards aren't telling the full story. The problem isn't the data — it's knowing which questions to ask.

This library gives you the exact SQL queries used by payment infrastructure specialists to forensically diagnose, monitor, and fix performance across a live payment stack.

No theory. No generic examples. Production-ready queries built specifically for fintech transaction environments — with plain-English explanations of what each query does, how to read the output, and what the results mean for your business.

What's Inside:

Section 1: Transaction Failure Analysis — identify, categorise, and quantify every failure type

Section 2: Routing & Provider Performance — compare providers and eliminate routing inefficiencies

Section 3: Reconciliation & Settlement Gaps — surface discrepancies before they become write-offs

Section 4: Dispute & Chargeback Queries — monitor ratios and flag risk before scheme thresholds

Section 5: Multi-Rail Transaction Monitoring — cards, bank transfers, USSD, POs, and alternative rails

Section 6: Real-time Anomaly Detection — automated alert logic for transaction anomalies

Section 7: Executive Reporting Queries — board-ready metrics from raw transaction data

Who This Is For:

Payment engineers, data analysts, CTOs, QA engineers, and operations leads working inside fintech payment infrastructure — particularly across African and European payment corridors.

Why SwitchGuard:

Every query in this library comes from 15+ years of hands-on experience inside institutions including GTBank, Access Bank, Kuda, BudPay, and Intouch. This is not textbook SQL. This is what actually works inside live payment systems.