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IoT App Development and Big Data

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David Smith
IoT App Development and Big Data

You may think that the term Internet of Things (IoT) is something that will become a reality in the distant future. However, IoT app development has already become a reality and has started becoming an integral part of modern life.  Conceptually, it is simpler than you can ever imagine.  You can consider the example of a fridge doorbell, or smart TV, and even any other connected devices for the purpose.  It is important to understand that the scope of IoT is broad. So, if you have used your Smartphone to navigate through the list of daily chores then it also becomes a part of the IoT. Now the big question is, how does the interconnected world of devices work? More significantly how can it help enterprise by rendering a valuable competitive edge?

Big data holds the answer to these questions. IoT is essentially powered by Big Data and with the emergence of 5G networks, expandable Wi-Fi capabilities, and growing use of smartphones, the big data is almost growing at an exponential rate. 

The connection between IoT app development and Big Data    

To comprehend how an IoT app development company is benefited by Big Data it is important to examine the individual fragments in the workflow:

  1. The device of a company can collect and transmit data when installed with sensors.
  2. This data can be of several petabytes that get stored in a central repository called Data Lake. It includes structured and unstructured data.
  3. Charts, reports, and other outputs can be produced by AI-powered analytics.
  4. The Data Lake is oozed with humongous volumes of Big Data through different metrics in user devices like tangible transmission, Metadata, scheduling, preferences, and custom settings.

IoT devices and Big Data share a symbiotic relationship. If you have a system of AI that can process data to assist the decision-making process the equation grows. Since the data source and its repository are the same the complexity of AI model surges as more AI devices get integrated. An IoT application development company can help to optimally utilize the big data hardware and pull the necessary information.  It all comes down to smart investments. 

The Business Implication

Making investments in the collection of Big Data and interconnectivity of devices pays rich dividends when it comes to building upon satisfactory customer experience. At the same time, it complements the leverage of industry standards and enhances existing capabilities.  From a technological viewpoint, it implies setting up avenues where data can be identified, collected, and processed to produce an output benefitting the business and the consumers. 

Consider the example of a theme park. People tend to avoid them because of queues.  However, real-time data like line status and average wait time at different times of the day can make the venue easy to access. It will let people to optimally utilize their free time and plan around their needs. It can be small children or just sheer patience that can convert customers and build relationships. 

Likewise, retailer apps can help consumers with added convenience and savings. By combining data collected from social media or demographics and collating it with structured data like browsing history can help to make smart recommendations and offer coupons that are generated algorithmically. Suppose a region is experiencing serious cold waves. Backend analysis can portray a spike in the search room heaters and cross-reference it with the user’s browsing history for generating a product-specific coupon and inform consumers that the item is available for pickup in the store. Thus, connectivity and data are collaborating to facilitate repeat purchases at lower prices.    

The Path ahead

Businesses that are ambitious in exploring the opportunities that are presented by IoT have two major considerations. First, you have to understand how interconnectivity and its metrics can contribute to improving customer experience.  The benefits can be indirect like the creation of a system that facilitates optimization of interdepartmental communication and streamline processes for customers that are waiting.  Next, you have to consider the present state of IT infrastructure.  Adaptation with Big Data and IoT needs requires a high level of scalability when it comes to processing speeds of traditional hardware. 

On the outset, the decision may seem to be an exclusive meant for the IT department. However, in reality, it is indeed a business decision. The opportunities created in the way will render dividends on demand and enhance the reputation of the company as a forward-thinking and tech-savvy institution.  It will promote the loyalty of customers as well as lay the foundation for future improvements. 

Conclusion

The creation of a satisfactory IoT experience necessitates the disposal of sufficient resources up-front. Investment of these sorts is a dire necessity these days. As connectivity has become an integral part of our daily lives organizations that will not prioritize Big Data and IoT will lose out to completion.  

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David Smith
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