IoT cases in different industries require different analytics capabilities, adds Tanuali. Be clear on what business outcomes are desired from an IoT project, then identify and collect all the data needed to arrive at actionable insights.
Warning: This step can be hard. Data will be in different formats, missing, and in need of cleansing or other care before you can trust the results. And after you finish that long list, you will still need a way to transform the data into visual insights delivered in the most appropriate way for your users; in other words, graphs, charts, and alerts.
Pendyala learned a nice lesson about IoT data analysis early on. “Some of our highest ROI cases have been those with the least complex analytics,” he says, such as changing to use-based equipment upgrades from calendar schedules for maintenance, or tracking shipment locations and temperature controls with IoT sensors.
Pendyala cautions that while getting involved with business processes and strategic technology might be unfamiliar territory for IT providers and integrators, embracing IoT analytics will move you up to a new level of professional support for your clients.