Acquiring the needed analytics skills to cope with the data deluge is another challenge. Research from Accenture shows that finding top analytics talent to manage massive amounts of data will be difficult in the years ahead. The results of a year-long research project by the firm show that the United States is projected to create nearly 39,000 new jobs for analytics experts through 2015, but will only be able to fill 23 percent of those roles with qualified candidates.
With IoT, basic data analytical skills won't cut it; companies will need people who know analytics and have a solid understanding of what this new data will mean for their specific industry.
"One of the key infrastructures that companies [considering] IoT solutions require is to have a culture of data-driven decision making," Sutaria says. "IoT essentially provides a stream of accurate data from the real world. Converting that data to information, then to knowledge, and finally to wisdom requires traditional analytical skills of the domain where the IoT solution is being deployed."
For example, in the agricultural field a scientist must understand how much irrigation is needed for a crop under various weather conditions. "IoT can provide accurate and automated data collected at very periodic intervals, of the weather, farm, and individual crop conditions," Sutaria says. "But once the data is collected, the actions that need to be taken based on the data is dependent on the domain-specific scientists."
Along with the growing volumes of data and analysis needed, companies must be prepared for "an onslaught of devices that connect consumers and objects anywhere, anytime," Redding says. "Those that adopt the data supply-chain philosophy will surf this wave of information without drowning in the details."
Additional common barriers to adoption of IoT technologies will include the investment needed in sensors and analytics capabilities and support, such as data security, Miles says.
The future of IoT
As IoT becomes mainstream, it will likely play a huge role in areas such as supply chain management. According to Gartner, "the movement of smart goods can transform a logistics operation into a smart supply chain."
OEMs selling new Internet-connected smart goods and devices will see their supply chains evolve, Gartner claims. A physical supply chain that ordinarily stops once goods are shipped will be extended by a digital supply chain in which monitoring services, content, updates, and other services will be provided.
"Businesses have a tremendous opportunity to use IoT to fill in corporate blind spots to provide just-in-time goods and services," Redding says. "When customers' preferences or needs can be tracked in real time, businesses have the opportunity to react accordingly and immediately, with options such as dynamic messaging, pricing, or service delivery."
Tracking usage patterns will allow businesses to plan for spikes or quiet periods in advance, Redding says, reducing the chance of service outages or running out of stock. "Internally, businesses can track their own equipment in order to prevent failures or outages before they occur, increasing operational efficiencies," he says.
Developments with the Internet itself will have a huge impact on IoT. In the coming years, Internet applications built on IPv6 "could conceivably communicate with virtually any man-made object due to IPv6's huge bandwidth," Redding says. "This will undoubtedly open the door to more and more innovative IoT projects."
At a time when organizations are looking to take advantage of big data, IoT offers an opportunity to gather even more information that could prove extremely useful to business.
"Knowledge is power, and businesses that leverage IoT have the potential for an incredible competitive advantage," Redding says.
This story, "The 'Internet of things' will mean really, really big data," was originally published at InfoWorld.com. Follow the latest developments in big data at InfoWorld.com. For the latest developments in business technology news, follow InfoWorld.com on Twitter.