How to choose the right data visualization tools for your apps

Charting APIs have their place, but embedded analytics platforms are often a better way to create interactive, visual experiences in your applications.

If you develop applications that share data with users, you’re likely to have requirements to present a graph, chart, dashboard, or other data visualization embedded in the application. This capability helps users better understand the data and discover insights, and it improves the user experience. When people see well-designed data visualizations, they use the application more and are more satisfied with the results.

As a developer, you might be excited to develop charts and graphs with code, and there are plenty of charting frameworks you can use to customize data visualizations. But before you embark on approaches that require frameworks, libraries, and coding, I recommend looking at data visualization tools that have embedded analytics features. Modern data visualization tools not only make it easier to create the visualizations, but often provide the capabilities to embed them in, or deliver them directly through, a web or mobile application.

[ Also on InfoWorld: How to choose a data analytics platform ]

By contrast, even though visualization libraries may be easy to use for the developer, they may not be an optimal development approach for embedding analytics where frequent iterations are required. This is especially the case in areas like journalism and marketing, where the goal is to let users design, develop, and publish data visualizations without requiring support from developers and technologists.

Criteria: How to choose data visualization tools with embedded analytics capabilities

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