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      Understanding the Data Comparison Dashboard

      Data Comparison allows for a "Left vs Right" comparison of data for easy analysis.

      Resto iQ's Data Comparison Dashboard is a tool used to swiftly identify two metrics and compare them side by side (left versus right). This allows the user to create a customized view of these 2 metrics, and more importantly this limits the back-and-forth between different modules or date ranges of Resto iQ.

       

      How to Access Data Comparison

      This dashboard is available to select Resto iQ Analytics accounts and is easily accessible by going to Analytics then Data Comparison.

       

      Controls

      Should you find the charts complex or challenging to interpret, consider this simple analogy: blue versus yellow. Blue filters will influence the blue charts, while yellow filters will correspondingly impact the yellow charts.

       


      Time-interval/Frequency

      This setting will affect both sides, to have a consistent basis for the information.




      These filters are available for both sides for manual control for the user.




      Account, Transaction, Location Filters (quick definitions)

      These are the available filters for Data Comparison dashboard. These are identical to your Analytics filters found on top for most (if not all) modules. Also, these are identical for both sides (Left/Right, Blue/Yellow).

       

      Accounts: accounts registered under your organization.

      Company owned v Franchise Owned: select either both or isolate one from another.

      Brands: for organizations with multiple brands, users may choose all or any of the brands listed.

      Date range: select the coverage for the dataset.

      Transaction Type: these are the configured service types on the POS.

      Payment Type: these are the configured payment types on the POS.

      Delivery Type: these are the configured and approved delivery types on the POS.

      Opening Date: isolate locations based on submitted opening date.

      Locations: select all or any of the store locations.

      Regions/Cities: select data based on store locations by Region or by City.

      Location Category: select data based on location category (example: mall, standalone, events, etc.)

      Store Type: select data based on store types (example: kiosks, dine-in branches, event carts, etc.)