Why embed analytics and data visualizations in apps

Today, many organizations are developing data-intensive applications that include interactive dashboards, infographics, personalized data visualizations, and charts that respond to a user’s data entitlements. In cases where an application needs to display a bar chart or other simple data visualization, it’s easy enough to use a charting framework to configure the visual and render the chart. But a data visualization platform’s embedded analytics capabilities may offer richer end-user experiences and tools to support easier and faster enhancements.

Embedding analytics can be a powerful approach to enhancing applications when experimentation around the visualizations is important. For example, an application’s product owner may start with a simple visual but then realize that different user personas require specialized dashboards. A data visualization platform makes it a lot easier to develop, test, and iterate on these dashboards rather than coding visuals.

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