Summary
Insights provides a ranked view of the riskiest entries within your organization's key segments, enabling you to accelerate workflows and enhance both operational oversight and strategic decision-making. Designed with robust filters and seamless integration with the Explorer workspace, Insights transforms how you manage and analyze data. It supports compliance with Artificial Intelligence for Compliance, Finance, and Risk (AiCFR) milestones, helping ensure that your controls and procedures are effectively monitoring exceptions, anomalies, and inefficiencies in your financial and operational datasets.
Deep-dive into data with sophisticated filtering options tailored to your needs, or use preset views for automated control tests in areas of known risk, such as specific locations or accounts. Examine individual entries to decide whether to investigate or accept them, then promptly initiate risk responses. Experience unparalleled detail with the ability to scrutinize individual control points, which offer meticulous assessments of specific risks.
With real-time data and analytics, Insights not only streamlines your risk management and data analysis processes, it also boosts operational efficiency, supports compliance initiatives, and delivers strategic insights crucial to your organization’s success.
Learn more about the Insights dashboard for Transaction Risk Analytics (“TRA”) below.
Overview
Insights allows you to:
- Access a high-level summary of the imported data.
- Control the time frame, amount type, and risk level of the entries you want to view.
- Select a risk score to view entries within a specific context.
- Filter the data to target areas of interest.
- Control segment views, see groups of entries in your priority segments ranked and divided by materiality.
- Drill-down to the data Explorer.
- Export a point-in-time view of your visible data.
Note: Key segments and amount ranges are determined during analysis configuration.
Access the data summary
MindBridge provides a high-level summary of your imported data that can be easily shared and discussed among team members or in presentations to leadership.
Select the information icon ( ) to access the data summary (located below the analysis name at the top of the page).
The data summary contains the following details:
- Organization name: The name of the relevant MindBridge organization.
- Engagement name: The name of the relevant engagement.
- Analysis type: The type of analysis being viewed (such as Payroll).
- Imported date: The date that the given file was imported into MindBridge.
- Data source: The name of the primary file that was imported into MindBridge.
- Current period: The start and end dates of the period under analysis.
- Prior period: If applicable, the start and end dates of the period prior to the current period under analysis.
- Total # of entries: The count of line items (i.e., entries) detected within the imported dataset.
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Total # of entries by segment: The count of line items (i.e., entries) detected within each segment (as determined by your App Admin during analysis configuration).
Dashboard settings
The menus at the top of this dashboard are settings that affect the data displayed below. Your selections will persist when navigating between the Insights and Explorer workspaces.
Change the time frame
The Time frame menu displays data for the latest month by default, but you can update this selection as desired.
- Open the Time frame menu.
- Select one of the following options:
- Latest month: Displays data from the most recent month in the current period.
- Previous month: Displays data that was imported in the month prior to the latest month.
- Previous quarter: Displays data that was imported within the quarter prior to the latest quarter.
-
Custom: Displays data based on your desired start and end dates.
If you select Custom, you will be prompted to use the calendar tool to select start and end dates for the period under review.
Your selection will be applied immediately.
Select Cancel to go back without applying your changes.
Change the amount type
The Amount type menu displays your default amount type, as determined by your App Admin during analysis configuration. If the imported dataset contains multiple amount types, you can use this menu to pivot between amount types as desired.
- Open the Amount type menu.
- Select the amount type that you want to see in this dashboard’s results.
Your selection(s) will be applied to the tables below immediately.
Select Cancel to go back without applying your changes.
Note: If the dataset only contains one amount type, it will be displayed here in read-only mode and cannot be updated.
Change the risk level
The Risk level menu displays high-risk entries by default, but you can use this menu to view the entry results of different risk levels as desired.
- Open the Risk level menu.
- Select the risk level(s) you want to see:
- High risk
- Medium risk
- Low risk
- When you are satisfied, select Apply to see your selection(s) in the tables below.
Select Cancel to go back without applying your changes.
Note: The range (i.e., the minimum and maximum values) of each risk level may vary based on the cut-off method applied in your analysis configuration.
Note: When tested against the data, rules-based control points either pass (0% risk) or fail (100% risk), and thus will not appear if “Medium” is selected.
View entries by risk score
The risk scores displayed at the top of this dashboard are determined by your App Admin during analysis configuration.
Select a risk score tile to update the analysis results displayed on this dashboard, within the context of the applied dashboard settings. Your selection will persist when navigating between the Insights and Explorer workspaces.
Within each risk score tile, you will see:
- The risk score name
- The total monetary value of all entries associated with the risk score
- The total number of entries associated with the risk score
MindBridge default risk scores
MindBridge provides the following risk scores out of the box, but these may be disabled by your App Admin during analysis configuration.
Tip: These default risk scores were created in order to help identify and mitigate risk by providing early warnings of potential issues. Being able to track exceptions, inefficiencies, and anomalies can help your organization adhere to regulations, avoid legal and reputational risks, and enhance operational efficiency, resulting in cost savings and competitive advantages. Additionally, they provides valuable data for continuous process improvement and risk management across business operations.
*Note: Unlike Exceptions and Anomalies, the Inefficiencies score will not appear in all analysis configurations.
Priority segment views
Use the Insights tables to evaluate and monitor risk by category within your organization, and quickly understand the monetary value of each group of entries, and how they are divided based on amount thresholds.
MindBridge provides one high-level control point table and other tables for each of your organization's segment views.
- Use the one column (
) or two column (
) icons to control the width of each table. Tables are expanded into the one column layout by default.
- Use the grab handle (
) to re-size each table.
Control point table
The control point table displays a ranked list of high-value control points within the analysis, based on the dashboard settings and filters applied, and provides high-level details about the entries that impacted each control point.
At the top of this table, you will see the number of results — for the control point table, this indicates the number of control points that received a control point score that matches your selection in the dashboard settings.
Within the table, you will see the following columns:
- Risk rank: MindBridge ranks the data by risk score (determined by aggregating control point scores) and monetary value, and prioritizes entries with a high score and a high monetary value.
- Control points: The control points that scored for risk according to your selection in the dashboard settings.
-
Total: Indicates...
- The net value of the filtered entries.
- The total number of impacted entries.
- The overall risk score for the impacted entries.
-
Pre-defined amount ranges: MindBridge categorizes amounts into predefined ranges (which may be fixed amounts or based on standard deviations, depending on the analysis configuration) to summarize data more effectively. In these cells, you will see...
- The net value of the entries within the given range.
- The number of impacted entries within the given range.
- The overall risk score for the impacted entries within the given range.
Segment view tables
The segment views (and thus the available tables and the order in which they appear) on this dashboard are determined by your App Admin during analysis configuration.
The segment view tables display ranked lists of high-value entries within the analysis, based on the dashboard settings and filters applied, and provide high-level details about the entries that impacted each segment.
At the top of this table, you will see the number of results — for the segment view tables, this indicates the number of segments that received a risk score that matches your selection in the dashboard settings.
Within the table, you will see the following columns:
- Risk rank: MindBridge ranks the data by risk score (determined by aggregating control point scores) and monetary value, and prioritizes entries with a high score and a high monetary value.
- Unique segments: The segments within the segment view that scored for risk according to your selection in the dashboard settings. For example, the segment view table for Region risk would list relevant regional segments, such as Switzerland, Italy, etc.
-
Total: Indicates...
- The net value of the filtered entries.
- The total number of impacted entries.
- The overall risk score for the impacted entries.
-
Pre-defined amount ranges: MindBridge categorizes amounts into predefined ranges (which may be fixed amounts or based on standard deviations, depending on the analysis configuration) to summarize data more effectively. In these cells, you will see...
- The net value of the entries within the given range.
- The number of impacted entries within the given range.
- The overall risk score for the impacted entries within the given range.
- When the predefined range is based on standard deviations, the minimum and maximum amounts that correspond to this range.
Select or hide tables
Above the tables, on the right side of the screen, you will see a View menu that allows you to control which of your organization's segment views are displayed* on this dashboard. All segments are selected by default.
- Open the View menu.
- Use the checkboxes to select which segment view tables you want to see.
Deselect checkboxes to hide segment view tables as desired.
Your selection(s) will be applied to the tables below immediately.
*Note: The control point table does not contain segments, but is also selectable from this menu.
Drill-down to the Explorer
Drilling down allows you to see a relevant entry (or list of entries) with more context. You can drill down on a row using the following steps:
- Within any table, open the more actions menu (
) to the right of any row.
- Select View in Explorer. You will go to the Explorer, and the dashboard settings and filters applied will be carried over.
You can also drill down on a cell within any table. This will set an amount threshold filter on the Explorer dashboard, in addition to all filters that would be applied during a row-level drill down.
Apply filters
Filters that appear on this dashboard are determined by your App Admin during analysis configuration, and can help you find specific data in the analysis results.
Your selections will persist when navigating between the Insights and Explorer workspaces.
- Open the desired filter menu.
- Use the checkboxes to select the criteria you want to filter for. If you know what you're looking for, you can enter it into the field at the top of the open menu to pull it up quickly.
- When you are satisfied with your selection(s), select Apply to apply your selections so you can quickly sift through the data for insights.
Select Reset filter any time to remove applied filters.
Export data
Export a spreadsheet with data that reflects the current view of the Insights dashboard, with all settings and filters applied.
- Select Export, located near the top of the page, to the right of the dashboard settings. A selection window will appear, and all options will be selected by default.
- Optionally, use the checkboxes to deselect segment views and exclude them from the export.
Re-select checkboxes to include them. - When you are satisfied, select Save. The file will appear in your default download location.
Select Cancel any time to go back to Insights without exporting any data.
Page Views
Page Views allow you to save and reuse your current Insights configuration, including filters, Segments, risk level, risk score, and time frame. Saved views help maintain consistency across analyses, reduce setup time for recurring procedures, and support collaboration across teams.
With Page Views, you can:
Save your current Insights configuration with a custom name and category
Reload saved views across sessions or analysis periods
Apply saved views directly from the page view header or the Actions menu
Update or duplicate existing views as your procedures evolve
Anything else on your mind? Chat with us or submit a request for further assistance.