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5 Best Practices for Designing Data-Driven Apps

Data-driven apps have become a major growth engines for the worldwide software market. Forrester predicts smart computing software will become a $48 Billion market this year, while IDC has proclaimed that 2014 will be the year of data-driven marketing and sales. From personalized portals, to wearable devices like Nike Fuelband, data-driven apps are all around us. Yet, designing compelling data-driven experiences - especially for customer facing apps where there is both a large number of users and large data sets - remains an art and a science. Fortunately, an emerging set of design principles inspired by consumer devices provides a blueprint for delivering apps that inform, connect, and motivate end-users.

In this whitepaper, you will learn:

  • Why data is becoming a differentiator in customer facing apps
  • How big data and mobile adoption creates new challenges for developers
  • How the "small data" design philosophy can drive focus and agility
  • What emerging best practices offer a guide for creating compelling, high-scale data-driven apps and solutions

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