Ways how IoT data is improving decision making

The Internet of Things has pushed digital transformation to a new level. Owing to the plethora of interconnected devices and increasing connectivity, massive traffic of data is being generated every day. The daunting task is to capture the data, then collect and store them to be processed, analysed and interpreted later or when needed.

Abundant data traffic need to be filtered for use

The supply of data is both a challenge and a big advantage to businesses and industries. Entrepreneurs and managers no longer need to use guesswork but can rely on properly filtered data that is insightful, to make important decisions. IoT has brought a lot of visibility with data analytics being used on raw data. Grouping of relevant data helpss to make sense and form a logical group. for enterprises and organisations. which will support decision making. However, Business-to-Business applications happen to offer more value than those for consumer uses.

The Internet of Things (IoT) promises to change the way we work and how we do business. Thanks to the advent of ubiquitous connectivity and low-cost sensors, massive volumes of data are being generated. IoT adoption is on the rise and reports indicate that there will be having about 50 billion IoT devices connected across the globe by year 2030.

IoT helps in decision making

Data Analytics when applied on the filtered data cache offers multi-dimensional analysis to reveal possible trends and eventualities ahead. An example can be found in machine monitoring, where regular costly maintenance that’s critical for machines can be scheduled, based on the data generated over a period of time. So, managers can do things in a timely manner and optimise them with the data givining a clearer understanding of how their products are used or consumed, which also helps to forecast their performance in the market.

IoT data enables the customer to optimise the usage of machines and IoT devices. For instance, metrics gathered from temperature sensors help to trigger the cut-off of an engine, if it crosses the specified threshold range, along with alerts and messages to stakeholders who are empowered to make decisions. Similarly, a machine with a vibration sensor fixed on it, can detect the frequency of vibrations to help make an informed decision on the maintenance needs by the person in charge.

Impact of Technological Advances

Some of the technological advancements applied in IoT enables remote monitoring and diagnostics, impacting decision making effectiveness. They include:

• Smart connected digital devices
• Advanced sensor technology
• Remote self-diagnostics
• Global Positioning System
• Real-time monitoring systems
• Cloud hosted platforms

Even at this early stage of IoT tech, the impact on our world is obvious. IoT is digitalising management of machines, vehicles and other physical assets. This includes how our goods and products are being manufactured and distributed, besides how products are serviced or managed. IoT applications require support of innovative technologies, well as new business models.

We at Trinetra tSense can provide secured and scalable IoT software solutions. They can be customised for unique projects required for various business and industries. The tailored IoT applications developed and delivered to various clients from different sectors by us, provide us the expertise and experience to deliver such smart solutions. For details, just send us the enquiry form online. Or kindly email a request to us. We’ll be only happy to respond.