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Open your browser and browse to https://analytics.umd.edu
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Click the red UMDashboards button in the header of our website to open UMDashboards.
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You will be redirected to CAS. Log in & complete your Duo push to continue.
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After you authenticate through CAS, you may be presented with an interstital page asking whether you want to view dashboards in HTML or Flash.
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Choose Enable Flash to continue.
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Choose Allow in the following prompt that appears in the top left.
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You will now be logged in to UMDashboards. Depending on your settings, you will see one of two landing screens.
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Depending on your settings, you will either see:
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1. The Startup Dashboard you have configured in your user settings or that has been assigned to your user profile by a member of our team.
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2. The default iDashboards landing screen (which is blank).
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UMDashboards is set up using a system of launchers and sub-launchers.
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Launchers exist at the root level of a dashboard category, as in the first picture.
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Sub-launchers exist one or more below the launcher level, as in the second picture.
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Dashboards (where the data lives) exist below the sub-launcher level, as in the third picture.
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Instead, click on the tabs located at the bottom of the screen to visit the previous screen you were on.
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Hover your mouse over various parts of a chart to determine interactivity.
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Some charts will include interactive intelligence and highlight parts of another chart when you hover, as in the first picture.
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Some charts allow you to drill-down into further details about a specific data point.
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Drill-down functionality is available when your cursor changes to a hand pointer when hovering over a chart.
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Simply click to drill-down. The second picture shows the record to be drilled and the third picture shows the resulting chart after drill-down.
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To drill back up, look for a green return arrow icon in the lower left of a chart, as in the third picture.
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Filters are called dashboard parameters and are usually available via dropdowns at the top of a dashboard, as in the first picture.
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In this example (the UMD Awards by PI dashboard), data can be filtered by Division and Tenure Home / Primary Unit of the faculty member.
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In the second picture, I've filtered the data to Engineering using the Division filter and Aerospace Engineering using the Tenure Home / Primary unit filter.
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To export data, simply right-click on the chart you would like to pull the data from and select the Export Data option in the corresponding menu.
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The data will download to your computer in a csv file titled after the chart name and can be used in any program that will read csv files, including Microsoft Excel.
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You’re now a UMDashboards expert!
You’re now a UMDashboards expert!