The big problem with data
Rapid digitisation brings with it masses of data and, as more and more businesses rush to roll out digitalisation roadmaps, some big problems start to become apparent.
Network latency, differing data formats, legacy systems and data storage must all be addressed before the real benefits of digitalisation can be realised.
“Central to digital transformation is data and, more importantly, its availability. The inherent latency that accompanies data transfer has been problematic, as has the consolidation of different data formats residing in various parts of any business. All this has to be considered before it can be transformed into structured, dynamic, definable and actionable insights.” – Nico Steyn, CEO of IoT.nxt
Where will the data live?
The storage of data is a very real problem. Before a business can even consider reaping the benefits of a digitised ecosystem, proper thought needs to go into where all the collected data is going to be stored, processed and analysed, and how it will all talk to each other.
“The more accessible and complete data feeds are, the more accurately and dynamically predictive algorithmic models can operate. This raises a few questions for organisations as they grapple with how to handle all this data, what it will cost and how they will process and secure it all.” – Nico Steyn, CEO
Circumventing the waiting game
Real-time processing is key to unlocking the potential of Big Data. In an interconnected, multi-application environment, latency is a concern. Networks certainly play a role in killing lags and, as more devices are connected and more cloud-based environments are adopted, there will be increased scrutiny and sensitivity around latency.
“Smart IoT platform providers are finding smarter ways to work around inherent latency issues, especially in applications that rely on speed to flag life-threatening problems, while developing ways to scale implementation as organisations continue to evolve and grow”- Terje Moen, COO, IoT.nxt.
Data sits in silos
A problem facing businesses across all verticals is that they’ve digitised sections of their business, or processes within it, and none of their systems speak to each other. Either the data is in different formats or the systems haven’t been linked together. Left under pressure to prove ROI on what they’ve spent already, they’re reluctant to introduce yet another solution. What if the solution could integrate all the legacy systems, as well as any future deployments without causing the other problem that keeps Ops Managers up at night – disruption to productivity. Ours can.
Moving intelligence closer to the edge
Distributed intelligent edge computing and edge gateway technology is, arguably, the only way to deliver on rapid, disruptive digital transformation. Correctly implemented, laying the base for transformation, they can obviate risks associated with digitalisation and potential network overload.
At the moment, in an IoT-enabled set up, data is pushed from sensors into the cloud for assimilation and processing, before being pushed back to machines to alter behaviour if necessary.
Solution? Having the ability to understand information at the edge and make critical decisions without having to push information into the cloud to be processed. In other words, shifting processing into the edge.
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