How Data Analytics in IoT Application Works?

IoT is a name that is not new in the industry. It is at the level where almost every segment of the industry is somewhere and somehow involved with the technology.

Data Analytics in IoT Applications

How Data Analytics in IoT Application Works?

IoT, on one hand, enhances the way of living for end users, like smart homes, auto switch off and on of lights and other electrical equipment; on the other hand, for enterprises, it enables organizations to collect and analyze data from sensors on multiple types of machinery equipment.

Since its quite obvious that IoT is all about the smart connection of appliances with a mobile device, this brings a whole lot of information to cater to. Data Analytics here plays an important role to help companies understand the use of IoT data at their disposal efficiently and effectively.

This rushes the benefit of reduction in the maintenance costs, any equipment failures and simultaneously improving the line of business operations.

Fact Alert:  In a survey, Gartner estimated that IoT adoption will continue to grow to 26 billion Internet-enabled devices installed by 2020.

Understanding the Importance of Data Analytics in IoT

Data is so important these days that the future planning of companies relies on the data collected from sources. Combination of both data analytics and IoT eradicates the challenges faced by IoT alone and disseminates benefits of data analytics efficiently.

By gathering huge volume of data collected from the things, companies can generate insight into the system and make informed decisions. Placing sensors in machines can grow the influx of data.

However, since data in itself is not an information, an organization will need the support of IoT application development company to create data models that collect relevant data to extract the information out of it.

In digital transformation, sensor-based computing is gaining grounds. According to Maureen Fleming, an analyst at research firm IDC, “”Operational intelligence using condition-based monitoring assures organizations about the health of sensor-attached devices, machines and systems.”

Organizations seeking modernization and visibility into the system can apply sensor data in combination with data collected from enterprise application. Analytics gathered from this data can provide information to the about the gaps in the system, which they could bridge with on-time decisions.

Benefits of Data Analytics in IoT

Let’s analyze more on the topic and see how data analytics when amalgamated with IoT changes the course of action and drive growth in the companies.

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1: Real-Time Insights

The best advantage of IoT embedded with data analytics is the support of providing real-time insights to end users. This type of analytics is called streaming analytics. Real-time data or information and processed to perceive an urgent situation and intimate immediate action to users.

For instance – Google maps collates all sort of data based on a real-time basis, analyses the situation and suggest an immediate course of action for users to save time accordingly.

The data collected could be any roadblock, construction, accidents that could cause intense traffic. Basis the information, Google maps suggests an alternate route for the user. Likewise, this advantage is used on various other platforms like fleet management, financial movements, traffic assessment etc.

2: Actionable Marketing Insights

IoT combined with data analytics has played an essential role in determining the data that yields actionable marketing insights about the customers and business operations. To elaborate this further, IoT has the capability to drive changes in the business, its product usage, and customers.

Analytics here can assess the information and data and see how consumers are using their products and if they are connecting on other platforms for product promotion.

Basis the data collected, it can be used to plan actionable marketing insights to drive business growth and increase the profit. Any unused insight can prove to be a real deal breaker and get into the nerves of customers realizing the gains and profits easily.

3: Machine Learning

Another top of the edge advancement of IoT with data analytics is the benefit of machine learning. It gives a predictive solution basis the historical data available in the system. There are many ways of machine learning in which one may utilize the benefit – Artificial Intelligence, Predictive Analytics, Data mining etc.

The concept has evolved so much that apparently, IoT and data analytics make the most amazing pair to give users what they want. For instance – Based on the historic search record of a user’s mobile device, machine learning predicts the course of action for the user which user might actually do.

4: Automated Workforce Management

Analytics, when optimized with IoT, can vastly refurbish the way of automated working. It can evolve the automated working process in any size of the enterprise. There had been major improvements in the work environment with the inclusion of Analytics & IoT, like remote field-force connectivity.

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Other than above-mentioned benefit, IoT solutions tend to predict when a system is likely to flash system failure. This way it helps in offloading the need to have defined set of workers to manually shut down the system for maintenance. It also aids in creating a core data repository, which notifies in case of any identified issues.

5: Resource Utilization

A major challenge being faced by enterprises these days are ineffective utilization of resources. Companies hire resources which may or may not be of their use.

It becomes a challenge to utilize the resource skills and expertise in the right direction due to lack of understanding. Nonetheless, Analytics play a major role in calculating the resource utilization on specific projects.

The resources are effectively utilized based on the data insights available and can be used to increase productivity in less time. Plus having real-time insights helps allocation of resources more effectively than earlier.


To wrap up the entire summary, there had been a tremendous increase in the usage of hybrid applications. IoT with data analytics is one of the tops used trends that enables the use of data and insights on a real-time basis with IoT technology.

This not only helps to achieve what is projected but also keeps the threat of any loss afar. IoT being one of the most liked trends when amalgamated with data analytics gives the best results that cater to the specific requirement of the companies and fulfills the expectations eventually.

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