It's All About the Data: The Internet of Things Raises Connectivity to a New Level

Page 1 of 3 next >>

Image courtesy of Shutterstock

The practice of data management is being stretched well beyond the realm of databases and analytic platforms.

The “Internet of Things” (IoT) is opening up a new world of data interchange between devices, sensors, and applications, enabling businesses to monitor, in real time, the health and performance of products long after they leave the production premises. At the same time, enterprises now have access to valuable data—again, in real time if desired—on how customers are adopting products and services.

The most pronounced examples are coming out of the industrial sector, in which “streams of data will come from various sensors and devices —from jet engines to smart meters and oil wells,” said Prith Banerjee, managing director of global technology R&D at Accenture. Other examples of data-driven IoT initiatives, cited by Mark O’Neill, VP of innovation for Axway, include the realm of logistics, which supports tracking for shipments, as well as healthcare, with wearables, fitness tracking devices, and fitness applications.

The connected car may become one of the most ubiquitous examples of IoT within consumers’ everyday lives, O’Neill added, as “vehicles are increasingly expected to connect to the internet and to send data related to the status of their location, and to give customers the ability to control their cars via their mobile device.”

Benefits of IoT

To reap the benefits of IoT, “companies will need to excel at exploiting sensor-driven computing, industrial analytics, intelligent machine applications, and IoT security,” said Banerjee. “Jet engines, for example, can generate terabytes of data per flight. Those streams have to be fused along with external data such as weather in order to make sense out of it.” Jeff Healey, director of product marketing for HP Big Data Software, agreed, observing that “if exploited properly, this data—often dubbed machine or sensor data, and often seen as the next evolution in big data—can fuel a wide range of data-driven business process improvements across numerous industries.”

Optimized business efficiency is likely to be the earliest benefit seen from IoT implementations. “A sensor-enabled device can let you know when it isn’t working as it ought to be, leading to quicker and better service and improved uptime,” said Venkat Viswanathan, founder and chairman of LatentView Analytics. Going beyond efficiency, “IoT data can be used to gather insights for business advantage,” Viswanathan said. “NEST energy meters, for example, can tell when a family requires less heat for their homes—when they are away at work, perhaps. Better energy utilization is an obvious advantage. But an analysis of that data for a given region can provide advertisers more granular insights into peaks in television viewing for specific neighborhoods.”

Optimized business efficiency is likely to be the earliest benefit seen from IoT implementations.

Real-time information gathering, scale, and analytics is a benefit that will also emerge as IoT efforts progress. A typical scenario would involve “data collected centrally from global production locations and then readily acted upon by product managers or developers, leading to effective management of resources,” said Inbar Lasser-Raab, VP of product and solutions marketing for the enterprise segment at Cisco. He cites an example that has already been well-tested in recent years: the utility industry’s embrace of smart meters. “A utility company may have two million smart meters in the field that are all transmitting a wide range of information. Previously, when the power went down, an alert would be sent to the control center, where someone would manually determine if the affected area was a planned outage or if a crew needed to be sent to the location—a practice that was time-consuming and not scalable. By creating policies that allow sensors to communicate directly with work orders, alerts would not be sent for those planned outages and utilities can automate crew dispatches.”

Such examples represent what are only the early stages of the IoT revolution. Ultimately, IoT “will stretch both the imaginations and the resources of enterprises everywhere,” predicted David Gorbet, VP of engineering for MarkLogic. “Applications —such as allowing cars to communicate with traffic lights, or refrigerators to reorder when the milk gets low—capture the imagination, but there are many more mundane but important applications for fully connected infrastructure.” Such applications include “predictive failure analytics for equipment, critical infrastructure monitoring, and increased business process or manufacturing automation.”

What’s a Manager to Do?

This means more data than ever will be coursing through organizations’ data environments. As a result, investments need to be made, people need to be trained, and solutions need to be stood up. A robust technical architecture and infrastructure is required. “The mainstream media tends to focus way too much on gadgets, wearables, and the cool factor of IoT,” said Rick Garibay, VP and distinguished engineer at Neudesic. “But the true value of IoT is not in the devices or even the ability to connect the devices—it’s all about the data.”

Page 1 of 3 next >>

Related Articles

HP has introduced a new offering called HP Haven Predictive Analytics to accelerate and operationalize large-scale machine learning and statistical analysis.

Posted February 18, 2015