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Understanding Torii Widgets

Uri Hershkovitz
Uri Hershkovitz
  • Updated

Overview

Widgets are the building blocks of your dashboards in Torii, allowing you to display and interact with key data in a highly customizable way. Each widget serves a specific function, helping you monitor important metrics, visualize trends, and create action items —all from a single dashboard view.

This guide will walk you the different widget types available, how you can customize them, and how to make the most of their capabilities.

 

Common Capabilities

  • All widgets can be edited and adjusted to fit your organization's specific needs. You can only edit widgets in Edit mode.
  • All widgets can be dragged by grabbing the widget and moving it anywhere in the dashboard.
  • All widgets can be resized by grabbing the widget corner and dragging to expand or contract the widget.
  • All widgets offer an ability to Explore the source data in greater depth via the "View Table" button. The table that opens acts like other tables in Torii - you can edit the columns & column order, change filters (this will affect the widget data) and even download the source data for further analysis.

  • All widgets can be configured and customized to present the data you are interested in highlighting and monitoring via the "Edit" button.
  • Exact configuration options depend on widget type, but the common ones are:
    • Label - Determines the name of the widget. 
    • Data Source - Determines the data the widget refers to. 
    • Widget Type - Determines the widget type. 
    • Group by - Determines how the selected field data is grouped into categories. 
    • Aggregation -  Determines how the data of the selected field is aggregates. Torii currently supports the following aggregations: Count, Sum, Average, Max, Min.
    • Field/Fields - Determines what field(s) the widget will represent. Does not appear when the aggregation is set to "Count". 
    • Filter by - Determines what data will be included/excluded in the widget data calculation and presentation. 
    • Sort By - Determines how data is sorted visually, and, if only presenting partial data, determines which data is presented (based on whether the data is ordered in descending or ascending order). 
    • Max Groups/Entries Displayed - Determines how much data a widget will display (number of columns, groups, table entries etc.)

 

Types of Widgets 

Torii currently supports the following widget types:

Metric Widgets

Purpose: Display key performance metrics in a simple, easy-to-read format.

Common Uses:

  • Track main KPIs.
  • Highlight outstanding issues or cases to investigate.
  • Show at-a-glance bottom line.

Examples:

  • Show number of employees / overall SaaS spend / active contracts value
  • Track upcoming renewals / new apps discovered
  • Track issues that should be investigated such as apps or contracts without owners, past users with licenses, closed apps with spend etc. 

 

Pie Chart

Purpose: Displaying data as proportional segments of a circle to quickly understand the relative sizes of different categories in a dataset.

Common Uses:

  • Easily compare category contribution to a relevant total.
  • Grasp data distribution at a glance.
  • Highlight dominant categories.

Examples:

  • Showcase most common app discovery sources
  • View distribution of app spend by department / app state, to highlight groups and uncover any anomalies.
  • Show app offboarding configuration to make sure all important apps are covered

 

Bar Chart

Purpose: Displaying discrete categories and making direct comparisons between them.

Common Uses:

  • Show over-time metrics to understand trends.
  • Compare groups directly to find anomalies or redundancies
  • Rank groups by performance metrics.

Examples:

  • Investigate app discovery date or expense transaction date to understand trends.
  • Compare app spend / count by tag, Departments by overall / average spend per user. 
  • Highlight problem areas such as apps with high spend and low usage

 

Table Widgets

Purpose: Displaying detailed data for metrics that require more than a number or image to convey. 

Common Uses:

  • Provide a full breakdown of data for users who need to see exact numbers and attributes. 
  • Shine a spotlight on data anomalies by comparing them side-by-side with in-line items.
  • Show enough details on an action item to make make it actionable..

Examples:

  • Highlight past users with app access or active licenses, and provide details on who to contact to remedy the situation.
  • Showcase apps with expenses exceeding contract value to investigate further.
  • Alert on upcoming contract renewals where more license purchases are required.

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