DECEMBER 1, 2018

Role Of Data Analytics in IoT

• 2 Comments
• By: Pooja Dhakad
• digital marketing, Internet of Things, Trends

Who would have thought that IoT (Internet of Things) could impact anything from artificial intelligence (AI) to the healthcare center to supply chain management decisions? Today everyone is talking about IoT or implementation of the Internet of Things in the businesses. It has the potential to help origination to act fast even in the real-time using data analytics in IoT.

Internet of Things (IoT) is the independent communication between objects that help to optimize operations, reduce costs, boost productivity & improve human lives. It is an interconnection of several electronic devices, networks, technology, and human resources to achieve a dedicated goal. There are many IoT applications being used in different sectors like healthcare, agriculture, intelligent buildings, etc.

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Data Analytics is a method of collecting both quantitative and qualitative data about a digital property to extract meaningful conclusions from these data sets. These conclusions usually in the form of statistics, dashboards, trends & patterns that help organizations in effective decision-making processes. Data Analytics has a significant role to play in the growth and success of IoT applications and investments. Analytics tools will allow the business units to make effective use of their data sets.

How do you collect and process analog information from IoT devices, to transform into useful Business Intelligence?

The kind of information we get from the Internet of Things (IoT) devices is analog and we need a way to capture that analog information. And then locate it to the place from where we can access the data at any time with help analytics tools. The IoT devices & it’s applications have the potential to generate a lot of data that might challenge traditional data infrastructure.

Three primary components of the Internet of Things (IoT)

Device – The Physical object located in the real world.

Gateway – It is responsible for collecting data from devices & relaying it.

Cloud – The nervous system of a business or application, where this IoT data can be combined with other non – IoT.

Analytics tools will allow the businesses to make effective use of their data as explained below:

Data Volume: There are huge amount of data that IoT devices make use of. The organizations need to manage these large volumes of data and need to analyze the same for extracting relevant information. These data sets along with real-time data can be analyzed easily and efficiently with data analytics tools.

Data Structure: IoT applications involve data that may have a variable structure. There may also be a significant difference in data formats and types. Data analytics will allow the business executive to analyze all of these varying sets of data using automated tools.

Driving Revenue: The use of data analytics in IoT investments will allow the business units to gain insight into customer preferences and choices. This would lead to the development of services and offers as per the customer demands and expectations.

Competitive Edge: IoT is a buzzword in the current era of technology and there are numerous IoT application developers and providers present in the market. The use of data analytics in IoT will provide a business unit to offer better services and will, therefore, provide the ability to gain a competitive edge in the market.

Varistor Education provides training on new cutting-edge technologies such as the Internet of Things, Digital Marketing, Embedded Systems, etc. Our course will help you to learn from the basics of IoT to advanced IoT Projects. You can reach back to us for help even after completing the training. Click here to know more about our IoT Courses.