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What is a periodic time frame in an analysis?

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Summary

MindBridge's general ledger and TRA analyses are offered using a full, interim, or periodic time frame, which runs our Ensemble AI analytics against the provided data to find outliers, anomalies, errors, inconsistencies, and other forms of financial and operational risk.

Note: The periodic time frame is disabled by default in the library's analysis configuration, and must be enabled by an App Admin before it can be accessed by your team.

When should I use a "periodic" time frame?

During analysis creation, select the periodic time frame when you want to analyze and monitor data on an ongoing basis, such as monthly, or quarterly.

For example, when operating on a monthly cadence, you could import a month of data and run analytics on it, then import the next month of data and run the analytics again to see the period-over-period changes. Ideally, you would keep importing and analyzing data until the end of the analysis period, at which point you can roll the analysis forward and continue with the same process the next year.

Learn more about the periodic general ledger analysis

Learn more about the periodic TRA analysis

Tip: MindBridge recommends importing at least 6 months of prior period data for the most accurate analysis results.

What is a periodic analysis


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