A data visualization application is an online or mobile application that displays information in the form of graphs, charts, diagrams, and other visual representations. Data visualization apps typically enable users to create custom graphs or charts by entering their own data points and selecting the type of graph based on their data set.

Data visualization apps are similar to data collection apps, data storage apps, and automation apps. One of the most popular examples of a data visualization app is Tableau.

• A nutrition coaching app with different plans and packages depending on the needs of the user, a personalized food diary, a forum to keep everyone connected and motivated, and a series of recipes.

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• An augmented reality app built for a marketing team in the construction industry that allows users to engage in more interactive job site walk-throughs.

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• A data visualization app with the ability to filter hospitals by county or zip code, a Covid map, weather forecasting and air quality features, push notifications, and a forum built for the healthcare industry to make CDC and Medicare information more accessible to the public.

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The primary growth strategy for a data visualization app is to attract users from other domains. A data visualization app typically needs to offer a high level of value in order to attract new users from other apps that are not used for data visualization. These apps should classify their users into different segments, and leverage marketing tactics like email marketing to target a segmented group of users with a special offer. For example, an app might offer 30% off its premium subscription package to users who have never tried the app before.

A data visualization app will come with the same type of regulatory and legal risks as any other app. It is also at risk for displaying inaccurate information due to a lack of internal quality control mechanisms, which can lead to both negative PR and loss of credibility. Therefore it is important that data visualization apps have process controls in place to ensure that all data is validated before being displayed to users.

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