Reviewed by Gourav Mishra · Business Analyst, Business Analyst
💰 Privacy-First Financial Data Quality Framework

Financial Data Quality Management

Assess trustworthiness, completeness, debit/credit consistency, running balance reconciliation, and currency integrity — 100% locally in your web browser.

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100% Client-Side Privacy Guarantee: No server upload. No API calls. No bank connections. All financial data stays strictly inside your browser memory.
Zero Storage

📁 Load Financial Dataset CSV, XLSX, XLS, JSON, XML, TSV

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Drag & Drop Financial File Here or Browse File
Supports General Ledgers, Bank Statements, Invoices, Payment Logs, Customer Balances (.csv, .xlsx, .json, .xml)
📋 Paste Raw Financial Text Data (CSV / TSV / JSON / XML)
🔗 Optional: Load Master Reference Dataset for Referential Integrity Checks (e.g. Account Master / Customer List)
No master dataset loaded

Review financial data before reconciliation or reporting

When transaction records come from different exports or systems, small inconsistencies can make reconciliation harder: missing dates, repeated transaction IDs, debit and credit values that do not line up, or currency values that have been mixed together. Use this assessment to spot records and patterns that deserve review before relying on a report. Start by checking that the source columns have been mapped correctly, then investigate the findings against the original records and the rules used by your organisation. A flagged row is a reason to check the source, not automatic proof of fraud or an accounting error. Keep the original dataset, document any corrections, and confirm important totals with your trusted records before making reporting or operational decisions.

🎯 The 15 Data Quality Dimensions

Evaluates completeness, accuracy, validity, consistency, uniqueness, timeliness, integrity, conformity, balance consistency, debit/credit math, currency mixing, transaction consistency, referential integrity, reconciliation, and statistical plausibility.

⚖️ Sequential Balance Reconciliation

Automatically verifies mathematical balance movement across transactional sequences: Previous Balance + Credits - Debits = Current Balance within user-configurable rounding tolerance.

💱 Currency Integrity & Mixing Alerts

Identifies un-converted multi-currency aggregation risks (e.g. summing USD and EUR directly), non-standard ISO currency representations, and invalid monetary formats.

Frequently Asked Questions (FAQ)

Does this tool connect to my bank or financial APIs?

No. This tool operates 100% locally in your browser. It does not connect to financial institutions, banking APIs, or payment gateways, ensuring complete privacy for sensitive corporate spreadsheets.

What file formats are supported?

You can load CSV, XLSX, XLS, JSON, XML, TSV, or paste raw tabular text directly. The engine automatically parses structure and identifies financial column roles.

How are statistical outliers detected?

Numeric monetary fields are evaluated using standard Z-score and Interquartile Range (IQR) thresholds. Outliers are explicitly flagged as statistical observations for manual review, never as fraud or errors.