EVERY IT INTEGRATOR can handle the first step of an Internet of Things project: Install, manage, connect, and secure IoT devices. The next step, maybe not so much: Mine all that data for actionable insight.
“The data is the important part,” says Aditya Pendyala, co-founder and vice president of growth at Mnubo, a developer of IoT analytics and artificial intelligence solutions in Montreal.
“Analytics enable the data strategies and business insights needed to drive successful project and business outcomes,” says Azmat Tanauli, senior director of product strategy for Birst, an Infor company and global provider of cloud business intelligence headquartered in San Francisco.
Indeed, profits will ultimately come from the data, not installing the IoT devices. But analyzing and managing all that “dirty, heterogeneous data” is difficult, according to Pendyala.
Tanauli explains that system integrators need an understanding of modern data architectures and the ability to refine and cleanse complex data sources. In addition, they must know how to handle the data securely, feed it into a modern analytics platform, and support multiple outputs—for dashboards, mobile devices, and even embedded analytics in application workflows.
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