The demand for smarter data-driven apps, powered by embedded “intelligence” continues to grow as organizations look to better understand and engage the new mobile and social consumer and create competitive advantage. In fact, Forrester predicts smart computing software will become a $48 billion market, while Gartner projects that 25% of analytic capabilities will be embedded in business applications this year. From personalized portals, to wearables, to connected devices that have been wired up to the Internet of Things (IoT), the data that will feed – and be consumed by a new generation of information apps – is all around us. Yet, just as moving to a mobile-first design mindset required some new skills and tools, designing information apps in the era of IoT is very much an art and a science.
Starting with an understanding of the key roles of analytics, we can look at the best ways to attach data to experiences, and how to embed insights that boost user adoption and engagement. We’ll review these approaches, as well as how and why analytical tools are becoming more mobile, more predictive, and more embeddable in nearly any app or device.
During this webcast you will learn:
The top use cases for embedded analytics, and how an “analytic process” can guide the transformation of big (and small) data into useful insights and interactions
How our integrated design approach – based on open source foundations and rich APIs – shorten the time to connect to new data sources, deploy apps securely, and display interactive data visualization at scale, in any app, on any device (even a smartwatch!)
Why good information design and emerging best practices for embedding analytics are key to delivering more personalized information, driving user adoption, and delighting end-customers
Register here.
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