Organizations with a mobile presence today face a major challenge of building robust automated tests around their mobile applications. However, organizations often have limited testing resources for these increasingly complex projects, and stakeholders worry about the quality of the product. So how do you plan a mobile test automation project, recognizing the failure rate of such efforts? Discover how Tarun Bhatia used big data analytics to understand where customers spend most of their time out in the wild on their apps. See how they analyzed massive amounts of mobile usage data to create an operational model of carriers, devices, networks, countries, and OS versions. They then developed automation strategies resulting in better tests created with the right priorities. Learn how you can apply mobile automation capabilities in areas of continuous integration, performance, benchmark, compatibility, stress, and performance testing based on analytics data.