The world's most valuable companies, including Apple, Google, Microsoft, Amazon, and Facebook, are harnessing data to drive their success. These companies share a common approach to analytics that involves capturing and processing large amounts of data from various sources, including app stores, online music, video, and books. The app store example illustrates the characteristics of these platforms, which include hundreds of millions of end users, millions of application developers, dozens of app segments, and one primary platform provider. To meet the needs for comprehensive analytics across this stack, data solutions need to provide fast data capture, low latency query capability, high concurrency, and analytical capabilities that support real-time analytics, ad hoc analytics, and analytics for app developers and end users. A multilevel approach, self-service analytics, and a scale-out distributed system with modern query execution systems are recommended strategies for achieving analytics at scale in these industries.