Introducing Roghnu Data Portal Health & Data Anomaly Metrics

Data is at the heart of every organization’s decision-making. But too often, it’s hard to know if that data is truly healthy. Errors, unusual patterns, or compliance risks can hide in plain sight until they create costly problems.

That’s why we’re excited to announce a new service: Roghnu Data Portal Health & Data Anomaly Metrics. This tool will help you gain deeper insights into your data without ever sending it to an external AI service. All analysis happens securely within the Roghnu Data Portal, keeping your information protected while giving you powerful tools to:

• Strengthen compliance

• Support audits

• Enforce best practices

• Understand overall data health at a glance

Current Metrics Available

Benford’s Law in Accounting

Roghnu has developed an automated process that applies Benford’s Law analysis to Sage Intacct and other data sets, delivering a new data anomaly analytic in the Roghnu Data Portal.

This feature helps identify irregularities or unusual patterns in transaction data, such as potential errors, fraud, or reporting issues. By comparing actual digit frequency distributions to expected norms, Roghnu provides organizations with a proactive tool for financial data integrity and compliance monitoring.

Prior Period GL Journal EntrIES

Roghnu’s new data anomaly analytic for Accounting Prior Period General Ledger Journal Entries helps companies proactively monitor their Sage Intacct environment for best practices and risk management. By identifying unusual or high-risk backdated entries, this tool enables finance teams to strengthen internal controls, reduce potential errors, and improve compliance with accounting standards.

Metrics Coming Soon

We’re just getting started. Our team is actively building new anomaly metrics to give you an even clearer view of data health, including:

• Broken transaction data: Analyze by transaction sets for lost parent/child or related master data (foreign key) integrity failures.

• Journal volume changes over prior periods by employee.

• Journal entry to dimensions that did not exist before.

• First-time transaction by a new user list.

• AP invoice entry for the same customer entered by the same employee.

• Vendor entered and paid by the same employee.

• New customers entered but no sales order or invoice entered (possibly removed or inactive).

• New vendor entered but no PO or AP Bill entered.

• PO or AP Bill for a vendor exceeding one standard deviation from prior entries.

And that’s just the start. With over a dozen more metrics in development, the Roghnu Data Portal will continue to expand as a proactive tool for risk management, compliance, and financial data confidence.

Why It Matters

Data health isn’t just about accuracy; it’s about trust. When your data is clean, complete, and free of anomalies, you can make faster, better decisions with confidence– and that’s what Roghnu’s Data Portal is all about. Our new Data Portal Health & Data Anomaly Metrics service gives you that assurance while keeping your data safe and in your control.

If you’d like to see how these new metrics can transform the way you monitor and manage your financial data, book a demo today to learn more.