Filtering dashboards

Dataset editors can now specify variables that can be used to filter all analyses in the dashboard at once – let your users customize their view data by gender, age, brand, and more with a single click.

Jul 16, 2019

Dataset editors can add one or more variables to be used as filters across an entire dashboard with a simple drag-and-drop interface. This allows all dashboard viewers to get more out of your dashboards by customizing their view of the data. For example:

  • Add demographic variables such as gender, age, education level, region, and ethnicity to allow your viewers to drill down on the customer populations that interest them.

  • Add brands or products to create a dashboard that lets your viewers quickly understand the customer awareness, attitude, and usage of their products and competitors.

See our support documentation to get started.

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