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Data Integration Challenge: The Real Barriers and Opportunities Presented by the Industrial Internet of Things

Bit Stew Systems, data integration, data intelligence, IIoT benefits, IIoT challenges, Industrial Internet Consortium, Industrial Internet of Things, industrial organizations, Marketing, Pr, Predictive analytics, Public relationsData intelligence platform developer Bit Stew Systems recently released the findings of a survey by IDG Research of senior IT executives seeking to better understand how industrial organizations are being impacted by the Industrial Internet of Things (IIoT)—the steps being taken to prepare for it, the potential benefits the IIoT offers, and the challenges encountered along the way.

Most Compelling Benefits of the IIoT

The survey confirmed the opportunity and potential the Industrial IoT presents is real and poses significant benefits for businesses. According to the survey, 80% of senior IT executives view reducing operating costs, increasing operational efficiency and improving uptime as the top benefits the IIoT will bring their business. Other benefits identified include improved asset performance management and knowledge transfer in the workplace.

“Data is at the very heart of the Industrial Internet of Things,” said Dr. Richard Soley, executive director of the Industrial Internet Consortium (IIC), in a news release. “When data is integrated and fully leveraged, industrial companies have the power to improve operational efficiency and create new revenue streams. This new way of thinking puts data first with an eye on automation and predictive analytics.”

CIOs on IIoT Maturity & Preparedness

The research confirms that many organizations are struggling to effectively manage the complexity of data generated by the IIoT, often with no data management strategy in place. The majority of senior IT executives reported that they are not prepared to handle the volume, velocity and variety of data being generated by the Industrial Internet. 70% have not implemented an IIoT strategy because they are either not prepared, and are currently struggling to effectively manage their data and are still in the “consideration” or “early discussions” or “planning” phase. 30% are early adopters; either in the “piloting” or “implementation phase” with projects well underway.

When IIoT Maturity Goes Up—Confidence Goes Down

The survey finds that less than 1/3 of senior IT executives are confident in their current ability to accommodate the scale and scope of the industrial data integration challenge. The IDG study also confirmed that as IIoT maturity goes up, senior IT executives’ confidence in current data integration tools decline by half. CIOs are not confident their current data integration tools can accommodate IIoT as it matures.

Data Integration is the Top Barrier to IIoT Adoption

The survey research showed that senior IT executives feel that data integration is the #1 barrier inhibiting IIoT adoption in their organizations. 64% say integrating data from disparate sources/formats and extracting business value from that data is the biggest challenge the Industrial IoT presents.

“We have seen first-hand, how the data integration problem has challenged IT and OT teams for decades and now the advent of IIoT adoption is compounding the problem,” said Jeremiah Stone, general manager of asset performance management at GE Digital, in the release. “To extract meaning and value from industrial data, new systems are required to handle the challenges posed by the volume, velocity and variety of these data sets.”

Most Concerning Risks of Not Having a Data Intelligence Strategy

As cited by the survey, senior IT executives say the biggest risk of not having an IIoT strategy in place is losing valuable data insights that will significantly cost their business. 87% state the most concerning risks of not have a data management strategy is they will be overwhelmed by the volume and veracity of data being generated, and they will lose valuable business insights as a result. In addition, 33% say they are afraid that businesses that don’t adopt a data management strategy will become marginalized, obsolete or disappear.

The Solution: What CIOs Look for in a Data Intelligence Platform

Executives have several capabilities they look for when evaluating a data intelligence platform which reflects the challenges they identified through the research. 70% of executives look for a platform that is designed to correlate data from any source, both internal and external, legacy and proprietary, into a common data model.

“The challenges facing IT and OT teams require a new approach to data integration,” said Franco Castaldini, VP of marketing at Bit Stew, in the release. “Getting operational value out of IIoT requires a technology that’s capable of gaining a contextual understanding of data across multiple and disparate sources in real time.”

Source: PR Newswire; edited by Richard Carufel

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