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MindBridge libraries: Overview

  • Updated

Summary

Libraries contain unique configurations of analysis features, permissions, and settings — like filters, ratios, populations, risk scores and much more. Libraries are applied to new engagements within your tenant, and help to standardize your teams workflows in MindBridge.

MindBridge offers several libraries out of the box. These default libraries can be used as-is, or they can be applied as a base library when creating new custom libraries, allowing you to leverage default settings which App Admins can customize as desired.

Learn about MindBridge's default libraries below, and review Library management: Overview for additional details.


Default libraries

The following default libraries are available for use in MindBridge.

Library name Description Applicable to
MindBridge for-profit This library uses the MindBridge Account Classification (MAC) code system for the account grouping and supports all of MindBridge's ratios.
  • GL analysis
  • AP analysis
  • AR analysis
MindBridge not-for-profit This library uses the MindBridge Account Classification (MAC) code system for the account grouping, and accommodates not-for-profit concepts such as contributions and grants. It also includes ratios specific to a not-for-profit workflow, such as Operating Reserve and Change in Net Assets.
  • Not-for-profit GL analysis
  • AP analysis
  • AR analysis
MindBridge not-for-profit with funds This library uses the MindBridge Account Classification (MAC) code system for the account grouping, and accommodates workflows that capture fund details and leverage fund accounting. Its structure facilitates concepts and ratios specific to not-for-profit organizations that utilize funds, such as Liquid Funds Amount.
  • Not-for-profit GL with funds analysis
  • AP analysis
  • AR analysis
Review engagement This library uses the MindBridge Account Classification (MAC) code system for the account grouping. It supports all of MindBridge's ratios and analyses, and helps to create streamlined and repeatable analytics to improve efficiency in delivering assurance over the financial statements.
  • GL analysis

 


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