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Internet of Analytics (IoA)

Real-time analytics on data from IoT devices

Real-time high-velocity data streams generated by IoT and used for IoA require advanced storage infrastructure with inbuilt security and data deduplication mechanisms. Data security and seamless management are top priority.

Master data management (MDM) and Big Data generated from IoT must be combined into a modern data management platform that solves the problem of complex integration and misalignment across new data sources, attributes and types.

Product-focused companies will increasingly transition into service-focused companies. Servitization is primarily about extracting the maximum amount of value from the data that is generated by your offerings and it requires rapid and highly-scalable approach to data analytics.

With predicted 7 billion connected devices by 2017, Internet of Things and Analytics will set new benchmarks for accelerated business growth, real-time analytics driven business decisions and organizational scalability.

The biggest sector to adopt IoA will be charities and nonprofit organizations. Third World Countries will grow better crops, have better water supplies and a more accurate, real-time system for gathering medical supplies and disaster relief.

IoA is a game changer. Real-time streaming analytics of bigger, faster, progressively complex data leading to instantaneous feedback and action, more highly connected world and personalized experiences.

Look for more examples of audience based marketing using data gleaned from BLE beacons. By the end of 2016, beacons will influence over $40 billion in retail sales. That analytics data is going to be priceless!

IoT will change every aspect of our lives. However, innovation doesn’t come without risk. Privacy issues and information security must be subject to debate across industry and in our communities.

Internet of Analytics is changing homeowners’ relationship to energy and making solar more valuable. It is all about convenience – simple, intuitive, useful; helping consumers save time and money without effort.

Information flow from IoT devices needs to be customized to gain actionable benefit from the technology. Identifying urgent information from the noise is going to enhance the value of real-time analytics.

In the next year, companies will begin deploying IoT devices for everything from security, to production supervision, to employee management. Analytics from data collected will drive enterprise modernization.

More data processing will take place on the edge, machines learn faster and become smarter, not replacing humans but enabling humans to use more of their knowledge and experience.

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  1. Measurement and transformation into business intelligence of the Internet of Things,is termed as Internet of Things Analytics.
    IoT analytics applications can help companies understand the Internet of Things data at their disposal, with an eye toward reducing maintenance costs, avoiding equipment failures and improving business operations.
    The Internet of Things revolves around increased machine-to-machine communication.It is built on cloud computing and networks of data-gathering sensors.It is mobile, virtual, and instantaneous connection.
    Of all the technology trends that are taking place right now, perhaps the biggest one is the Internet of Things; it’s the one that’s going to give us the most disruption as well as the most opportunity over the next five years. In my next post in this two-part series, we’ll explore just how big this is going to be.

  2. The usage of Internet of Things with Analytics is a very good initiative to enhance data driven management to every sector of development. IoT being a network of communication among the mechanical and digital machines can produce a lot of data,which when further applied to analytics can provide more meaningful insights about the usage of the machines,their requirements,their faults etc. IoT being a network of machines can actually be applied in every field and meet every necessary requirement.It can be used to control and detect terrorism as well as it can be used to determine pollution control,its developed in such a way that every nook and cranny is covered.Of course data security and control of the data is a necessary requirement for which a Regulatory board should be present which determines the security of every device created and who is governing the accessibility to that data.A single server should be used to store the data and the accessibility to various uses from the data should be given to various departments which are dealing with it.This ensures firm development of various sectors which are depending on the same data. The biggest requirement which is being lacked is SECURITY which can be gained by using IoT,as it tells what are the slacks present in any system in which its functioning.Every stage of the workflow can be monitored simultaneously and immediate measures can be applied whenever there is an alert being notified.The simplicity of these systems help in making the applications develop easily and for every persons requirement.This way we can enhance the intelligence of any machine as well as determine many outcomes beforehand which can help in taking preventive measures from mishaps.Usage of data on the go is possible by these systems and can provide continuous data assessments to us and help us utilize them to control the system.Well this a grand welcome to the digital era where machines can be used for doing jobs which a human can’t do.

  3. I find Internet of Analytics quite fascinating because as we move forward in this Digital Age most of us will start accepting Internet of Things since connectivity between the devices (“Things”) are increasing at the rapid rate and the data which we will get from IoT will have huge Velocity, Volume, Variety, Veracity. So for handling this data efficiently and gaining meaningful insights we will need Internet of Analytics, it will be a game changer in the field of Analytics. IoT will provide us tonnes of data and with IoA organizations can take real-time analytics driven decisions.

  4. Today information is available at our fingertips, however combining IoT and analytics will provide information at our fingertips before hand. The need to search for services or any other item would be limited as sensors tracking our activities will automatically inform us about them. Information flow will get more dynamic and real-time, faster and better data computation techniques would be developed. Privacy and security would get the top most priority. In short, IoA can definitely be considered the start of era where machines would start making “smarter and better” decisions in our day to day lives.

  5. Internet of Things devices can open a whole new world of data for organizations — for example, sensors can be used to proactively monitor and maintain pipelines and network loads, which can help avoid accidents and outages. Understanding IoT-produced data requires more than just launching a Hadoop data lake and calling it a day.

  6. IoA is making a lif more easier and comfortable with the worlds machines handling most of the situations. But the question is how intelligent device is needed for the customer? or in better way Can we tune intelligence according to customer needs? as some customer might required a dumb machine while other may require most intelligent one for the same job.

  7. IoT technology has massive potential applications beyond the consumer space. going to serve as source of tons of data that can be used for intelligence, reducing maintenance costs, avoiding equipment failures and improving business operations , data stream analytics on IoT data can move beyond analyzing present scenario to predict future events.

    Of course data security is not only important issue and concern in massive data development by IoT but performing analytics on massive structured and unstructured data in order to extract intelligence is also concern.

  8. Combining IOT with Analytics is a splendid idea. This is a thought about far future with IOT and Analytics taking baby steps. More data means more accuracy and high success.

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