5 Best Practices for Designing Data-Driven Apps
September 25, 2014 | 3:00pm BST
Data-driven apps have become a major growth engines for the worldwide software market. In fact Forrester predicts smart computing software will become a 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. We’ll review these insights, as well as 5 best practices and examples for designing highly-scalable, personalized apps for today’s data consumer.