Learn about the MindBridge score and how it is calculated in general ledger analyses.
What is the MindBridge score?
MindBridge uses control points to analyze your financial data, and provides a general risk score for each entry and transaction, based on a weighted average of all control point results.
Each control point combs over each transaction and entry in the ledger, and provides a weighted score of risk.
Transactions with higher scores are more likely to be of interest during audit scenarios.
- Transactions that trigger many control points will likely have a higher score
- Transactions that trigger a single control point that's heavily weighted will also have a higher score
Levels of analysis
Control points can analyze:
- Line items (dollar value)
- Transactions (a collection of line items)
- Flows (the movement of money between accounts — see Understanding Monetary Flow)
When analyzing individual line items, the MindBridge score is calculated as follows:
- The score of each triggered control point is multiplied by the control point’s weight.
- The individual triggered control point scores are also summed up into a single score.
- This sum is then divided by the total potential weight of all control points (as customized by your App Admin or library default).
The same set of calculations are applied to transactions, with some minor differences.
Each line item inherits the transaction’s score. For example, if a transaction triggers the Duplicate control point, each line item in the transaction inherits that Duplicate score.
However, control point scores given to individual line items are not promoted to the transaction. Instead, only the highest score for each triggered control point is promoted. For example, if a transaction contains 3 line items that trigger Unusual Amount, with scores of 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 dollar value
- A high dollar value
- A weekend posting
- Other major anomalies
...then this method will highlight any transaction with multiple anomalies, whether they occur in the same line item or not.
When analyzing a monetary flow, each line item inherits the flow’s score, similar to transaction scores.
There are exceptions to this; in some cases, single line items may inherit scores from more than one flow.
Transactions with a many-to-one flow (a transaction containing a $100 debit, with an $80 and $20 credit) is an example of this. The $100 debit will have 2 associated flows: for $80 and for $20. In the case where a line item inherits scores from 2 or more flows, the line item will inherit the maximum flow score.