DATA ANALYTICS FOR IOT DEVICE DEPLOYMENTS: INDUSTRY TRENDS AND ARCHITECTURAL TRADE OFFS

Presented at Sensors Midwest Industrial IoT University:

ABSTRACT: Although a staggering amount of information is beginning to be gathered every day from IoT connected products, the companies that have access to it are not necessarily using that data effectively. As Tim Hartford of the Financial Times notes, “Big data has arrived, but big insights have not.” Useful data analysis requires much more than the simple collection and summary of data. Companies must have a long-term IoT analytics strategy in place to provide significant, actionable insights that will fuel their business transformation into a connected product company. This presentation covers IoT analytics industry trends and advocates for a phased maturity model approach for creating a smart IoT strategy that starts with basic data collection and stream analytics, moves through descriptive/diagnostic analytics, and culminates in predictive/prescriptive analytics. This presentation ends with practical tips and architectural tradeoffs for creating a future-proof IoT roadmap based on connected devices and data.