Analytics for IOT – Simplified at Mobinius
Imagine living in a completely IoT focused ecosystem where you can turn off your television from a mere two cities away. Sounds very much like one of the scenes with Jarvis (The A.I.) from the Marvel Ironman movies, doesn’t it? This is the power and flexibility Internet of Things gives us. IoT or Internet of Things refers to a network of devices containing embedded technology that can communicate and interact with each other and also with an external environment. What’s more intriguing is that, IoT is not about the future, it’s all about – what’s happening now and how it can possibly shape what is to come.
Growth of IoT
IoT has grown at an incredible pace over the last few years and it’s finally here touching everyone’s lives in a day-to-day routine. By 2019, IoT will be the largest device market in the world.
“By 2020, the number of smartphones tablets and PCs in use will reach about 7.3 billion units. There would be nearly 20.8 billion devices on IoT by 2020’s.,” says Peter Middleton, Director, research at Gartner, USA. “In contrast, the IoT will have expanded at a much faster rate, resulting in a population of about 26 billion units at that time.”
With billions of IoT devices being developed and deployed in the world, the amount of data looming in the system is quite overwhelming, if not staggering. The IoT data, if leveraged in the right way will prove to be the next revolutionary step in the world of technology. This is where analytics steps in and saves the day.
Analytics for IoT
With the help of analytical tools and reports, people today generate over 2 quintillion bytes of data about themselves (This by no means is a small
amount). In order to understand the customers better, many businesses today gain access to such vital information or Big Data and delve deep. By incorporating better analytical methods and reporting, companies are now able to derive key metrics and insights, required to make more informed decisions, thereby accelerating overall performance and most important – future growth!
Analytics assists enterprises in understanding IoT, helping in reducing the overall maintenance costs and drastically improving the efficiencies.
IoT analytics – not only helps you in overall data analysis, but also dissect data models, to understand any anomalies in device & machine behavior, thereby detecting traits & patterns which the human eye is unable to comprehend.
IoT analytics gives enterprises the capability to analyze and evaluate IT data models and combine them with operational information from IT environments, providing intelligent insights to their stakeholders.
Besides this, IoT analytics can be implemented in:
- Hardware Development,
- Machine Automation,
- Cloud Solutions and Other emerging technologies.
Creating something of a business value out of the IoT data can be quite complex. Most IoT businesses have taken a backseat, in terms of dipping into analytics, primarily due to this perceived complexity. In spite of this complexity, the results of implementing analytics on IoT data, will make an enormous difference in the times to come.
One of the main challenges in IoT analytics is how to manage the plethora of data in the system. Deciding what kind of data is relevant, how it should be prioritized is vital to the data management aspect of IoT. If not done with scrutiny, the stakeholder ends up with an ocean of data without any clear idea of the data relevance. It hence, becomes very crucial, that a Big Data platform is leveraged to streamline the data management and the integration process.
Internet of Things (IoT) is changing and drastically transforming everything from life to business and vice-versa. This whole phenomenon seems seamless, with boundless imagination and huge opportunities. All we can say is, that this new, rich ocean of information source would be easily available, at our fingertips at the blink-of-the-eye!!
If you’re looking for simplified solutions, the Mobinius may be just what you’re looking for. Mobinius is a technology company that specializes in product development and solutions for a variety of platforms applying disruptive technologies for businesses through effective analysis and solutions.