Difference between revisions of "How To Create Sisense Boards"
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| − | = Best Practices for Creating Dashboards = | + | |
| + | = <span class="mw-headline" id="Best_Practices_for_Creating_Dashboards">Best Practices for Creating Dashboards</span> = | ||
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When designing a user dashboard, following these best practices will allow for the best experience and data modeling: | When designing a user dashboard, following these best practices will allow for the best experience and data modeling: | ||
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User dashboards should provide'''relevant '''information in about '''5 seconds.''' | User dashboards should provide'''relevant '''information in about '''5 seconds.''' | ||
| − | * | + | *Display the most '''<u>significant insights</u> '''at the'''top '''of the dashboard,'''<u>trends</u> '''in the'''middle''', and'''<u>granular details</u> '''at the bottom. |
| − | + | *Keep at a minimum of between '''5''' to '''9''' visualizations. | |
| − | + | *Select the appropriate type of data visualization according to its'''purpose. ''' | |
| − | * | + | *Avoid '''Wide/Long '''pivot tables. |
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| − | Select the appropriate type of data visualization according to its'''purpose. ''' | ||
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Revision as of 17:37, 12 December 2024
Summary
Sisense Dashboards are developed as visual representations of data to tell a story. These dashboards are tailored to simplify complex data in easy-to-understand ways so that users can easily interpret vital information, as well as discover patterns, trends, and anomalies that are occurring in the business.
By definition, Sisense is an agile business intelligence solution that provides users with advanced tools to support and manage information for company data with analytics, visuals, and reporting.
This tool is the most effective and efficient tool to use to provide informative data modeling.
Figure 1: Sisence
Best Practices for Creating Dashboards
When designing a user dashboard, following these best practices will allow for the best experience and data modeling:
User dashboards should providerelevant information in about 5 seconds.
- Display the most significant insights at thetop of the dashboard,trends in themiddle, andgranular details at the bottom.
- Keep at a minimum of between 5 to 9 visualizations.
- Select the appropriate type of data visualization according to itspurpose.
- Avoid Wide/Long pivot tables.
