Summary

MindBridge generates risk scores using various combinations of control points — tests that analyze your financial data level by level for anomalies and risk. The MindBridge score for general ledger analyses is a weighted average of all control points in a given analysis (control points vary by analysis type).

Transactions and entries with higher risk scores are more likely to be of interest during audit scenarios.

Learn about the MindBridge score and how it is calculated in general ledger analyses.

Levels of analysis

Control points included in the MindBridge score are designed to run against the data structures typically found in general ledgers:

• Entries (sometimes known as "line items")
• Transactions (a collection of entries)
• Monetary flows (the movement of money between accounts — learn more about monetary flows)

For example, transactions may receive a higher score if any of the following is true:

• The transaction triggered several transaction-level control points
• The transaction contains entries that triggered several entry-level control points
• The transaction triggered a single control point that is heavily weighted
  
  

How is the MindBridge score calculated?

The MindBridge score is calculated as follows:

Entries

1. The score of each triggered control point is multiplied by the control point’s weight.
2. The individual triggered control point scores are also summed up into a single score.
3. This sum is then divided by the total potential weight of all control points (as customized by your App Admin or library default).

Transactions

The same set of calculations are applied to transactions, with some minor differences.

Each entry inherits the transaction’s score. For example, if a transaction receives a high Duplicate control point score, each entry in the transaction inherits that score.

However, control point scores given to individual entries are not promoted to the transaction. Instead, only the highest score for each control point is promoted. For example, if a transaction contains 3 entries with Unusual Amount scores (for example, 20%, 30%, and 55%), the transaction is given an overall Unusual Amount score of 55%.

If a transaction contains any of the following...

• A round monetary value
• A high monetary value
• A weekend posting
• Other major anomalies

...then this method will highlight any transaction with multiple anomalies, whether they occur in the same entry or not.

Monetary flows

When analyzing a monetary flow, each entry inherits the flow’s score, similar to transaction scores. 

There are exceptions to this — in some cases, single entries may inherit scores from more than one flow.

Some transactions use a many-to-one flow. For example, if a transaction contains a $100 debit, an $80 credit, and a $20 credit, the $100 debit will have 2 associated flows: one for $80 and one for $20. In the case where an entry inherits scores from 2 or more flows, the entry will inherit the maximum flow score.

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