Use Mobile/IoT Big Data Analytics to Improve Development and Testing
Mobile and IoT software apps generate tons of data and live in a world of social media crowdsourcing. Probably more importantly, back end systems are capturing terabytes of usage data on mobile and IoT applications—data that is ripe for big data analysis. Jon Hagar examines how development and test teams can put this data to work to improve mobile and IoT products and projects. To stay competitive, product teams must find ways to use analytics in a variety of fashions and from varied sources. This hand-on session explores where to find the data you need and examines way to mine and organize the data using concepts such as mind maps, taxonomies, and mathematical filtering statistics. Join Jon to discover real-world data patterns, see how you can use these patterns to optimize the development and testing process, and learn how you can deliver applications that delight users and the business.
Laptop or Tablet Recommended: To take full advantage of this session, participants should bring a laptop or tablet device capable of doing math analysis.