Fast Growing Correlation between IoT and Data Analytics
As the world swiftly advances digitally with more technological developments and innovations, there is going to be a huge amount of data generated. So, how will Data Analytics and IoT technologies play a big role to manage things? Forbes predicts that the quantity of data generated will hit 175 Zettabytes by the year 2025. This will have tremendous implications in how data will be collected, analysed, presented and stored.
We realise that to assimilate the incredible amount of data collected or cached from IoT sensors and devices, it is implicit that we have a very advanced data analytics system ready to harness it. This system should be able to find correlations and trends, such that business leaders can get actionable insights to improve enterprise capabilities.
The IOT system amasses structured and unstructured data every second and there will be challenges in processing them in real-time. This is where Data Analytics comes in, to manage the main aspects of the task, such as volume, velocity and variety of data. Data Analytics software has the potential to process this avalanche of information. With seamless connectivity, this forms the synthesis between Data Analytics and IoT to help enterprises augment their operations and expand potential.
Data Analytics System is key
The IoT platform connects a large number of heterogeneous devices or gadgets, to transfer data continuously. The analytical system assimilates this raw data to provide valuable insights & reports for the advantage of the enterprises. The system and the platform should be scalable to accommodate more inputs in future emanating from edge to cloud. The data is mined and filtered using different kinds of data analytics, depending on the objectives or goals. Real-time analysis of streaming data with the stored data helps in defining patterns and in research, as in financial transactions or fleet tracking. Another area of Data Analytics is when IoT input data in relation to physical location of sensors can provide insights and help predictive analysis.
Integration on the System.
Although modern businesses currently find capturing, analysing and reporting IoT data as mandatory, there are challenges as this technology is in infant stage. Streaming Data comes in different formats over multiple channels and Analytical systems face the challenge to collect, filter and integrate data to ensure that in whatever format it is received, it is actionable enough to obtain insights. Text mining, machine learning, AI, are all now being used to extract textual info. But non-textual data, like in videos or images, just can’t be analysed instantly.
Security & Privacy of Data.
The IoT platform often handles sensitive information that need to be protected from risks, which is difficult to secure during analysis. The continuous influx of data forces the system to rely on 3rd party infrastructure owing to limited capacity, and that may become a security risk. So, data encryption and anonymity is required to ensure data security and privacy, to prevent hacking or phishing.
IoT and Data Analytics have seen innovative developments happening quickly in recent years to seamlessly blend technologies and data sources to develop strategies. Processing massive quantities of digital data is of paramount importance to enterprises and organisations, owing to the proliferation of devices and various sensors in this decade.
The inter-relationship of Data Analytics and IoT has touched a point where robust integration and synergy is needed to strategically manage things or to develop a solution in the connected digital world. For instance, a Digital Integration Hub (DIH) architecture is needed to enable multiple applications to access the aggregated cache of data at in-memory speeds over a computing platform.
To empower your businesses which includes IoT Asset Monitoring Solutions, Refrigeration IoT Solutions etc, have to effectively plan your business strategies for the highly challenging digital world, consider Trinetra T-Sense’s IoT platform with customisable applications and solutions.
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