Internet of Things: Moving Data From Machines to the Cloud

The Internet of Things (IoT) is driving transformation for enterprises, consumers, and governments alike. Technological advances such as smart speakers, machine learning, and 5G will boost efficiency and ensure increased control at home and in the workplace. Expectedly therefore, the number of IoT devices and the data these devices generate will markedly increase during the next several years. In this regard, machine data is expected to embody a vast volume of all data. Business Insider Intelligence predicts that by 2020 “there will be 34 billion devices connected to the internet … from 10 billion in 2015, representing a 28% five-year compound annual growth rate (CAGR).” This influx presents a tremendous opportunity for businesses to analyse information in real time and so gain valuable insights into, for example, their business operations.

With these numbers arise the challenge how will companies manage all the data? Where will the data be processed, analysed, and stored? The logical answer seems to be “in the cloud”. Data in this context can be simple numbers, measurements, periods of time, or data that is more complex such as simultaneously reporting on multiple data streams. It must be pointed out, however, that IoT isn’t just about connecting machines to the cloud. It’s about connecting your machines to your enterprise and creating a central system of intelligence. It’s about aligning your internal operations and teams with your product offerings and giving your business a distinct competitive advantage.

At Polymorph we understand that extracting data from machines, storing it in the cloud and displaying it in an app is simply not enough. That is why we assist our clients in the following unique 3 ways to unlock the value of their IoT data:

  1. We gather, clean and store the data. This involves complexities such as connectivity, messaging protocols, cloud infrastructure, cloud storage, APIs, and so forth.  This is the focus for many companies at this stage of their IoT strategy – they are focusing on gathering the data and landing it in the cloud.  Often, companies know that they should be doing this, but need help to do so. Using Polymorph’s scalable IoT platform makes the process simple, cost-effective, and quick to connect sensors and other IoT data sources to the cloud.
  1. Our team members are experts in turning data into information through context-rich visualisations, apps and dashboards.  The people that we’re building it for, the decisions they need to make, and the business value it creates are important drivers for generating a return on investment from the data. Our team are experts in building data-user interfaces with the right context, turning data into information.
  1. We make the information actionable by automating existing business processes and feeding the information into those processes.  We help our customers analyse and understand their business processes and can then implement those processes in our workflow engine. This allows actions and decision to be taken on the information, transforming from data to information to actionable insights.

 Moving machine data to the cloud means engaging with aspects such as device management, scale of infrastructure, networking, storage and analytics. Polymorph can assist you to take advantage of your machine-generated data.


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Richard Barry

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CEO of Polymorph

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