The benefit of sticking antennae in every corner of an operation is the diversity of data they cull for analytics. However, this brings a logistics problem alongside it; where do you store all of these feeds? Much of Internet of Things (IoT) data’s value comes from analyzing it in context with archival or other data. So how do you bring all these different sources together for cohesive and timely management?

Cheryl Wiebe, practice lead, Analytics of Things, at Think Big, a Teradata Company, and Chad Meley, VP of products and solutions Marketing at Teradata Operations, Inc., spoke to Peter Burris (@plburris) and Dave Vellante (@dvellante), cohosts of theCUBE, from the SiliconANGLE Media team, during BigDataNYC 2016. They spoke about how a sensor cloud can make sensor data available for meshing with the organization’s shared data management platform.

“And then it’s really important to have connective tissue into the corporate data set,” Wiebe said. “You need to either be able to reach into the sensor cloud … you need to maybe deploy certain models, certain rules for conditioning the data — even if they’re authored somewhere else, they need to be pushed down to be run at the cloud,” she explained.

The goo-ing down of IoT

Meley said that the personnel in IT and Operational Technology (OT) also are in need of “connective tissue” to make IoT usable. “There’s a huge problem that needs to be solved when it comes to IoT and Big Data, because a lot of the initiatives are starting out in OT. OT is the group that is putting sensors in an automobile or a tractor or a train,” he said. “They’re technologists, and they do not report up to the CIO.”

Meley said that the OT has to be made digestible to IT and business people. “You have to give them an easy-to-use solution, but increasingly, you have to make it more self service,” he said. Meley added that their product Listener (an intelligent, self-service solution for ingesting and distributing extremely fast-moving data streams throughout the analytical ecosystem) achieves this and is very “gooey-driven” for use by non-techies.

He claimed that this and other Teradata products are “taking mere mortals and giving them the power of analytics through shared functions and reads of data.”

Watch the complete video interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of BigDataNYC 2016.

Photo by SiliconANGLE