Summary

Populations are a different way of slicing and dicing your analysis results in MindBridge. You can use them to exclude entries that you know are not risky (e.g., monthly accrual reversals) or are tested separately (e.g., equity). You can also create populations from various conditions in order to help you better focus your attention on specific areas or business processes of interest.

Once you have a population set up, you can use the Populations filter to find or exclude entries on the the Risk segmentation and Data table dashboards in general ledger analyses. This can help to provide deeper insights by reducing noise in your analysis.

Learn how to create new analysis-level populations via the Data table dashboard.

Go to the data table

1. Select the logo in the MindBridge sidebar. 
   You will go to the Organizations page.
2. Select View in line with the desired organization, or click anywhere in the organization row. 
   You will go to the Engagements page.
3. Select View in line with the desired engagement, or click anywhere in the engagement row. 
   You will go to the Data page.
4. Select View Analysis in line with the desired analysis. 
   You will go to your default landing tab.
5. Go to the Data table tab.

Create a population

You can create populations of entries in the analysis as needed. Any filters* applied to the data table will appear as conditions within the new population — these conditions can be adjusted or removed as desired.

Step 1: Define the population

1. Open the Actions menu near the top-right of the page.
2. Select Create population.
   A pop-up window appears.
3. Enter a unique population name.
4. Enter or select the category that your population should belong to.
   If categories have not yet been defined, enter a new category name now and press enter/return on your keyboard to save it.
5. Enter a description of the population to help your team understand its purpose (maximum 250 characters).

Step 2: Add conditions

1. If you want to apply conditions from an existing population, select a base population.
2. Select Add a condition to see a list of available options.
3. When you are satisfied, Add or Apply the condition to the population.
4. To add an "or" statement, Add a condition to the same row.
5. To add an "and" statement, Add a condition to the next row.
6. Select Add row to add additional "and" conditions.
   For example, if you select Account Assets "and" High risk 2 Digit Benford, MindBridge will display all entries related to Assets that caused the 2 Digit Benford control point to receive a high score.

Remove conditions (optional)

1. Select the X icon beside the specific condition you want to delete.
2. To remove a whole row of conditions, select the delete icon ( ).

Step 3: Include/Exclude population conditions

By default, conditions are the criteria that will be included in the population (indicated by the word "is" to the left of the condition), but you can also create populations that exclude specific entries.

1. To add a condition that excludes specific data, select the word is in the condition field.
2. Select is not from the menu.
   For example, if you want to create a population that excludes all Asset accounts, the condition should be set to "is not Account Assets".

Step 4: Generate summary statistics

1. Select Generate statistics to see a visual summary of the population. 
2. Check the box next to Add population to engagement to make it available for use in all other analyses within the engagement.

Step 5: Finalize the population

When you are satisfied, select Create population. You will go back to the Data table dashboard and the population will be added to the analysis and can be selected in the filter builder. 

Select Cancel any time to discard your changes and go back to the Data table dashboard.

View statistics

Summary statistics give you high-level insight into the scope and impact of your population. 

When creating or editing a population select Generate statistics to see a visual summary of the population. 

• Total entries: The total number of entries within the population
• Gross activity: The total value of the population
• Total debit: The total debit value of the population
• Total credit:> The total credit value of the population
• Average MindBridge score:< The MindBridge score averaged across the population
• % of monetary value in high risk: The percentage of high risk monetary values in the population
• % of monetary value in med. risk: The percentage of medium risk monetary values in the population
• % of monetary value in low risk: The percentage of low risk monetary values in the population
• High risk entries: The number of high risk entries in the population
• Monetary value in high risk: The total value of high risk entries in the population
• Med. risk entries: The number of medium risk entries in the population
• Monetary value in med. risk: The total value of medium risk entries in the population
• Low risk entries: The number of low risk entries in the population
• Monetary value in low risk: The total value of low risk entries in the population

Anything else on your mind? Chat with us or submit a request for further assistance.