Synergy between: Internet of Things and Big Data

Big Data are the data sets which are so large that traditional data processing hardware and/or software systems are not sufficient to process and work with them. It addresses the challenges related to data curation, collection, organization, analysis and data security when working with large data sets. On the other hand, Internet of Things (IoT) is a network of physical objects which are embedded with sensors, supporting hardware and software in order to collect the required data. IoT enables real time and point of action data collection. In addition, it also allows remote access and control of the concerned physical devices.


While big data gives us the muscle to work with large volumes of data, IoT is what will enable businesses to accurately collect such data. Racks in a supermarket, for example, could send real time data of the number of units of a particular product left on the racks. Managers could use such data to identify time of day or day of week when the product is bought the most. Thus assisting manager to have right level of inventory and offers / discounts for the product can be planned accordingly.

Big Data has been around for a while now, but it is only large businesses that have been able to reap the fruits of this technology owing to the large costs associated with data collection. Also, adoption of big data analytics has been limited to only a narrow set of businesses where large scale data collection systems are already in place.

IoT not only helps to reduce costs associated with collection of data, allowing small and midsize businesses to use big data, but it also enables capturing of data for businesses which could not traditionally do so (data collection for businesses like infrastructure management, waste management etc). Thus, IoT allows for both a deeper and wider adoption of big data analytics.

While IoT makes data collection possible on the real time basis, businesses need to understand that without big data, IoT will be of little use. Data overload could even cause analysis paralysis if right systems are not in place. Large amount of real time data need a systems which can organize it. Further, such a system should be able to process and analyze the data. For all these associated challenges Big data is the only solution.


?UPS, one of the largest shipping companies in the world, optimally uses IoT and big data analytics to facilitate its business. The devices capture information of nearly 80,000 trucks at around 200 points for each vehicle on a daily basis. The data collected is then analyzed to reduce idling time, fuel consumption and harmful emissions. Thus helping company to significantly reduce operational cost.

Disneyland’s use of MagicBand is another example of big data and IoT working together. Visitors use the MagicBand to check-in at hotel rooms, buy lunch, etc. This data is collected and closed analyzed to accommodate more guests, properly time the promotional events to increase the visibility and better regulate inventory at highly visited shops and restaurants.

Your Company, GlobCon Technologies (GCT), can help achieve operational efficiency and improve top line by leveraging synergy between IoT and Big data. Follow us on LinkedIn, Twitter and Facebook and share your views. Follow us on Linkedin, Facebook and Twitter and share your views. 

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