Release notes for Q2 2023 – MindBridge: English (US)

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What’s new in MindBridge

The Q2 release introduces new ways to visualize, define, and refine data analysis. From custom control points and risk ranges to new TRA use cases, these updates help you surface key risks faster and align MindBridge with your methodology.

New capabilities for Q2

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

New way to oupfilter and gr your data with "populations"

The ability to define and surface specific populations of data in your analysis is a game changer. At their core, populations are groups of data that can be leveraged to find or exclude entries from your analysis results. This can help streamline your sampling, isolate unusual monetary flows and business processes in the data, and better align MindBridge with your organization's methodology. Populations can be set up in the library, the analysis results, and the analysis settings, and analysis-level populations can be added to engagements for use in other analyses.

Learn about creating and managing populations via the library, engagement settings, and analysis settings

New configurable Expert Rules control point

In addition to MindBridge’s Expert Rules control point, App Admins can now use rules defined by your internal teams of experts to create new control points in the library. These new custom Expert Rules control points can help you find and calculate risk in a way that aligns with your industry and organizational needs.

Learn more about this new control point and how to leverage your own custom Expert Rules

New flexible risk ranges

App Admins can now set up custom risk ranges in the library and apply them to specific risk scores. This new ability sets clear guidelines around entry and transaction handling, and can help better align the analysis results with your organization's methodology. This gives engagement teams the flexibility to adjust the risk ranges for a certain risk score in their analysis settings based on audit process findings.

Learn more about creating, managing, and applying risk ranges via the library and analysis settings

New drill-down to segment statistics and visuals

Now you can drill into a row in the table on the Risk segmentation dashboard to see additional information about the given segment. This page includes a summary of the selected row, graphs to help you visualize the data, and a helpful list of control points that you can drill even further into. You can also add annotations to comment on your findings and export page elements as needed.

Learn more about the risk summary page

Analysis-level settings now available

Now you can access and adjust settings for individual analyses in your engagement as needed. The new Analysis settings page lets you access populations and risk ranges, and provides an opportunity to determine which currency should be displayed across your analysis results.

In order to accommodate this new capability, the MindBridge sidebar has been redesigned. Analysis settings, Engagement settings, and Organization settings can now be found within the Settings menu ( ) in the MindBridge sidebar. You can also access the analysis settings through the Data page.

Learn more about analysis settings

New use case for TRA analysis

MindBridge's configurable ledger analysis has a new name: Transaction Risk Analytics ("TRA")! And with it comes a new configuration to help you develop a deeper understanding of your expenses.

Charge Card analysis available through TRA offers a unique set of risk scores and control points related to expense analytics. With this new purpose-built analysis, you’ll be able to quickly surface changes in behavioral trends, see surges of activity, find interesting, unusual, or duplicated payments, and much more.

Learn more about Charge Card analysis

Control point updates

Control points are the algorithms that power MindBridge's analytic capabilities. The newest version of MindBridge gives you access to the most advanced control point bundle, which includes updates to several algorithms to help you identify anomalous data more quickly and improve your ability to scale.

Learn more about recent control point updates

Read our full control point release policy

Improvements

Usability

Scaling