What’s new in MindBridge?

The Q4 release this year is just in time, with tons of improvements to help you get through busy season faster and more efficiently than ever before. Plus, this release comes with a new way to let you monitor your financial and operational data on an ongoing basis so you can perform risk assessment periodically, and identify and respond to risk appropriately.

• Introducing Risk Monitoring into the MindBridge platform
• Advancements to risk segmentation, including the ability to add populations to segments
• General improvements to help you use MindBridge more effectively
• Updates to the MindBridge API

New capabilities for Q4

MindBridge releases several updates a year with both new and improved capabilities and features.

Introducing Risk Monitoring — a new way to continuously import, analyze, and assess your data

Risk Monitoring techniques can be made available in new General Ledger analyses via the library.

Periodic time frame for ongoing analysis

Create an analysis using the new periodic time frame to import and analyze data on an ongoing basis, such as each month, or each quarter, and start identifying new or emerging risks as they occur. Plus, let your finance team leverage analyses that use the periodic time frame to demonstrate compliance with their legal obligations by enhancing their response to regulations and requirements.

Learn about the new periodic time frame

Risk monitoring dashboard

Enhance the way you monitor risk with MindBridge’s Risk monitoring dashboard, available for analyses using the periodic time frame.

This dashboard provides comparative analytics between periods of general ledger data to help you keep track of significant changes in the data over time. Use it to monitor your automated detective controls so you can reduce the response time once a risk has been identified, to mitigate the risk of inaccurate financial reporting, and to identify unusual or unexpected changes within a business that may require further investigation or new control activities.

Learn about the new Risk monitoring dashboard
 

Improvements

Risk segmentation dashboard

• New — Populations in risk segmentation
  • New ability to add populations to risk segments, allowing you to see and filter summary data for the identified population
  • When a segment that includes a population is selected, the segment table will display summary information for data that “is in” and “is not in” the given population
  • New dashboard filters combine "included" and "excluded" populations for enhanced flexibility
  • Population filters can now be combined using either “AND” or “OR” statements
• Updated explainability
  • The segment table now displays both account codes and descriptions
  • Any mapped data fields now display both the original and mapped field labels
• Updated interactions
  • Right-click on a row in the segment table and select “Expand row” or “Collapse all” to expand or collapse a row and all of its subcategories
  • Expanded rows in the segment table will remain expanded, even when navigating between tabs and interacting with other page elements

See these updates in the Risk segmentation dashboard

Usability

• New Run history section appears in completed analyses on the Data page
• Updated ability to restart the import process or re-import a file after an analysis has been run
• New ability to create a population from the transaction and entry details page
• New alert in place when a created population results in a long waiting time
• Enhanced bulk selection behavior for filtered accounts — if account filters are applied, only accounts that match the filter criteria will be available for bulk selection
• Enhanced filter behavior when creating populations — if filters are applied to the Data table dashboard when you select "Create population", those filters will be automatically applied as conditions within the new population
• On the Data table dashboard, the “Bulk export” action label has been updated to “Export selected”
• The “Transaction ID” column is selected by default when exporting the data table

• Updated handling and guidance when blank cells are detected during Data Validation in the import process Updated – The stated update has not been implemented as communicated due to internal miscommunication during the release process. We apologize for any inconvenience or confusion this may have caused, and are taking steps to rectify the situation promptly. Please note that the handling and guidance for blank cells during the Data Validation process remain unchanged from the previous version.

• New ability to convert base library settings for use with a different account grouping when creating a new library.
• New ability for App Admins to delete custom control points from a given library
• New look and feel when loading page components, such as tables and graphs
• New look and feel for MindBridge platform communications, such as new user invites and account activations
• Scaling
• Improved handling of large transactions
• Faster loading times in analysis results dashboards

API

Refer to the API reference document for additional details and guidance on the updates below.

• Analyses
  • Added the periodic field, which indicates whether or not an analysis will use the periodic time frame (determined when creating a new analysis via the API)
  • The addition of periodic values has caused the ApiAnalysisStatus's preflightErrors to change. Use the ready field to determine if an analysis can be run.
• Tasks
  • An analysisId term must now be included when using the /query endpoint
• Data Table
  • New type field, which indicates the type of data table
  • New Monetary Flows table, queryable using the type field
  • An analysisId term must now be included when using the /query endpoint
     

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