Today’s travelers are creating more and more digital data, helping savvy tourism operators refine their product and grow their revenue.
Many industry players are now using data analytics services to manage and process their marketing information – tracking patterns, predicting behaviors and organizing data into clear and detailed reports.
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Twitter uses R for Data Visualization and Semantic Clustering. Twitter has created some super impressive projects using R. They also have created open-source packages for anomaly and breakout detection, which has helped improve their customer experience.
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The growth and popularity of R programming have been helping data-driven organizations succeed for years. Nearly every industry now sees data and analytics as a strategic competitive advantage, and R is the language of choice for the data analyst. Because of its popularity, not only is R helping drive success for companies using it, it’s driving its success as the industry standard for using data effectively. Here are a few examples of how companies use R to drive their bottom line.
