The Internet of Things (IoT) has grown rapidly in recent years and shows no signs of slowing any time soon.
In fact, it’s estimated each of us will own 28 IoT devices by 2020 compared to the average six devices per person we see today – that’s a massive increase. It’s no wonder that, as a result, the IoT market is expected to be worth more than 11 trillion USD within the next 10 years.
All this newly acquired data raises a new set of questions and most importantly the main query for us is what are we going to be doing with all this data. The amounts of information available are going to be huge.
The reason behind this increase in IoT devices is the obvious advancement of technology, which also shows no signs of slowing any time soon. Cost-effective and energy efficient sensors have enabled the sentient enterprise, while Edge/Fog computing has provided real-time intelligence close to the source of data creation.
The rise of connectivity through the likes of IPV6, LTE (5G) and low-energy BT allows the constant transfer of this data, which is then stored in the cloud meaning all this data is then easily accessed. This is all great but it’s still huge amounts of data, which, despite easy access, is seemingly insurmountable when it comes to any type of analysis.
That’s where Qlik comes in.
Firstly, to truly understand the value of IoT data, it must be associated with other data. Secondly, any innovation from IoT data must be discovered within the data itself, and, thirdly, for the true value of IoT data to be realised, insights need to be easily shared and acted upon.
Qlik’s influence on these three key areas cannot be underestimated nor overstated. It’s simple, without a platform like Qlik, there’s no way of breaking down, digesting and disseminating this data without the requirements of hours and hours of human processing, analysis and, ultimately, sharing. With Qlik, this process becomes almost instantaneous in comparison.
We could spend time here running through numerous examples of how the Qlik platform has enabled swift processing of IoT data and the subsequent results but I’m going to focus on one that I’m sure we can all relate to, one that is understandably a forward-thinking leader in the IoT phenomenon.
BMW have been using Qlik’s platform to help them understand all areas of their products, processes and procedures. They use Qlik to analyse machine-generated data including in-car data, paint-shop robotics and diagnostic readouts in service.
You can imagine the reams of data produced from one vehicle alone, which is why Qlik is so important to the company. It’s used to analyse data from advanced analytics for creation and tuning of algorithms as well as delivering insight into business processes.
If you’re looking to capitalise on your IoT data, or utilise your business data to ensure advantageous decision making over your competitors, we’re here to help.
Get in touch with the expert Ometis team now to request a free demo of the Qlik platform. After that, as the UK’s largest dedicated Qlik consultancy, we’ll look after everything. So, call us now on 0330 363 9900 and start using your data to your competitive advantage or visit http://www.ometis.co.uk.
By Ross Greig