R365 Intelligence: R365 Dashboard Masters
  • 07 Jan 2025
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R365 Intelligence: R365 Dashboard Masters

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Article summary

This article is part of R365 Intelligence and overviews the pre-built dashboard masters loaded into R365 Intelligence.

When R365 Intelligence is enabled, customers will automatically have pre-built Dashboards for their use. These dashboards come with pre-built visualizations that will reflect the organization's data.

The R365 Dashboard Masters are built by R365 and cannot be edited. If users would like to make edits to a dashboard master, the dashboard master can be duplicated, and edits can be made to the copy.


Intraday Dashboard Master

Users with intraday polling have access to the Intraday Dashboard, which features reports with their organization's most updated sales information. Read more about the Intraday Dashboard, here.


Labor Dashboard Master

The Labor Dashboard Master features reports that cover labor hours and labor costs. Read more about the labor dashboard master, here.


PMIX Dashboard Master

The PMIX Dashboard Master shows users reports that cover menu items and menu sales. Read more about the PMIX Dashboard Master, here.


Sales Dashboard Master

The Sales Dashboard Master features reports that cover gross and net sales. Read more about the Sales Dashboard Master, here.


Purchasing & Receiving Dashboard Master

The Purchasing & Receiving Master features reports that cover items both purchased and received. Read more about the Purchasing & Receiving Dashboard Master, here.


Menu Engineering Dashboard Master

The Menu Item Engineering Dashboard within the R365 intelligence (INTL) tool provides a comprehensive analysis of menu item performance. This pre-built dashboard allows users to evaluate menu profitability and operational efficiency. Users can run "what-if" scenarios to explore potential changes and make informed, data-driven decisions to optimize menu design and overall profitability.

The Dashboard is comprised of four pages: Bubble Chart, Heat Map, Top 10/Bottom 10, and Data.


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