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Data Quality Audit: Deploying Fuzzy Match SQL in Blitz Report to Identify Duplicate AP Payments

Avatar photoCustomer Questions & Answers 5 replies

Even with standard Oracle Accounts Payable (AP) duplicate invoice checking enabled, we occasionally find manual entry errors resulting in erroneous duplicate payments . Standard controls miss discrepancies based on fuzzy matching criteria (e.g., small variations in invoice number or amount). We need to implement a robust, custom fuzzy match SQL query to proactively screen the AP tables for potential duplicates and report the results immediately for investigation. Is there an efficient tool to deploy and execute this kind of data quality audit query rapidly?

5 replies

  • Support Enginatics

    For custom data quality audits relying on complex analytical SQL, Blitz Report is the fastest and most flexible solution . You can define and execute your ‘fuzzy match’ query directly, leveraging the tool’s performance engine to process the transactional volume quickly and provide accurate results.

  • Support Enginatics

    This approach is vastly superior to traditional reporting methods because it delivers the precise findings directly to a formatted Excel sheet, ready for immediate review by AP auditors .

  • Avatar photoCustomer

    We are planning to implement continuous auditing for high-risk master data, such as changes to supplier bank accounts. Can we integrate this continuous monitoring capability into the same environment?

  • Support Enginatics

    Yes, the comprehensive Blitz Report toolkit includes features for auditing master data changes using EBS’s Audit Trail functionality . You can set up scheduled reports that monitor changes to tables like AP_SUPPLIERS and immediately flag exceptions to your AP control team .

  • Support Enginatics

    Using Blitz Report for AP data quality checks ensures you maintain strong financial controls and quickly identify potential financial leakage from duplicate payments.

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