{"id":71366,"date":"2019-10-24T11:01:55","date_gmt":"2019-10-24T05:31:55","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=71366"},"modified":"2021-05-28T13:00:57","modified_gmt":"2021-05-28T07:30:57","slug":"big-data-in-telecom-industry","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/big-data-in-telecom-industry\/","title":{"rendered":"Big Data in Telecom Industry – Reliance Jio Case Study"},"content":{"rendered":"

Telecom connects people to each other from all over the world by eradicating the distance barrier between them. But there are still some barriers that the telecom industry faces in connecting people and it has waited for years to find a solution to deal with this mess.<\/p>\n

But now Big Data is here to eliminate those and it will easily clear all the roadblocks for the telecom industry.<\/p>\n

Hang On!! As the growth of Big Data is unstoppable, your growth also can be the same by learning Big Data.<\/strong><\/em><\/p>\n

Now!! Explore the applications of Big Data in the telecom sector.<\/em><\/p>\n

Big Data Applications in Telecom Industry<\/h2>\n

These are the top 3 applications of Big Data in Telecom Industry-<\/p>\n

    \n
  • Network optimization<\/li>\n
  • Customer experience<\/li>\n
  • Fraud detection<\/li>\n<\/ul>\n

    1. Network optimization<\/h3>\n

    Network traffic capacity is one of the most valuable assets for any telecom company.<\/p>\n

    Telecom companies through Big Data Analytics are observing and governing their network capacities and this will further facilitate them in taking better decisions for the proliferation of their network data platforms.<\/p>\n

    Telcos via predictive analysis are seeking to fabricate more efficient data network models. By analyzing the real-time network traffic in highly congested areas the network expansion decision can be made straightforwardly. This will aid in optimizing the overall expansion cost of the network.<\/p>\n

    Promoting relevant offers in the areas where network traffic is quite low, will succor in boosting the traffic there and thus generating higher revenues.<\/p>\n

    2. Customer experience<\/h3>\n

    A satisfied customer is the best business strategy of all. To persevere in this ever-advancing and highly competitive world, companies need to stay updated with the latest technologies that would further help them grow.<\/p>\n

    A dashboard giving a 360-degree view of what the customer requirements are can be generated. Using these dashboards customized offers can be provided to the customers based on their data usage patterns.<\/p>\n

    Right offers at the right time can be presented to the customers to increase the number of customers. Helping out customers when they are in trouble is the best way to retain them.<\/p>\n

    With the digitized customer support systems the future of customer service, Big Data has been at the center of its development. These systems include online chatbots, emails, text messages, social media, etc.<\/p>\n

    \u201cBy digitizing customer service, customer satisfaction can be increased by 33%, while cutting costs by as much as 35%\u201d, as researched by McKinsey and Company.<\/strong><\/em><\/span><\/p>\n

    3. Fraud detection<\/h3>\n

    The telecom industry is the one enticing most users regularly and it is like butter on the bread of fraudsters. This humongous data of millions and billions of users is an invitation to several fraudulent activities.<\/p>\n

    The most common fraudulent activities in the telecom industry include illegal access, hacking, fake profiles, cloning, etc. That\u2019s why Big Data holds so much importance in the telecom world.<\/p>\n

    Through Big Data Analytics and Machine Learning Algorithms<\/strong> <\/em>detection of abnormal activities is possible. The algorithms elucidate oddity in behavior and alerts are generated within a fraction of second informing users about the irregular activity.<\/p>\n

    Big Data Case Study – Reliance Jio<\/h3>\n

    Let’s read Big Data Reliance Jio case study in Telecom Industry.<\/p>\n

    Recall the days when we just had only 1GB of mobile data to use for one month. And now even 1GB of data per day is not enough for us.<\/p>\n

    The amount of data that we used in 30 days, now we are using it up in just 24 hours or even less and the prices weren\u2019t too high either. What a turnaround it is. Isn\u2019t it? What made this turnaround possible? Of course, Big Data.<\/p>\n

    \u201cData is the new Oil of the Digital Era\u201d, as said by the Richest Man of India and the Man behind this data revolution, the CEO and MD of Reliance Jio Infocomm Limited, Mr. Mukesh Ambani.<\/p>\n

    How Big Data in Telecom Industry benefited Reliance Jio?<\/h4>\n

    With the help of Big Data in Telecom Industry Jio acquired 130 million users within one year of its launch. As of 31st May 2019, Reliance Jio is the second largest network operator in India and the fifth-largest in the world and the only company in India which is 5G ready.<\/p>\n

    How badly Reliance Jio affected other telecom companies?<\/h4>\n

    By using Big Data in Telecom Industry Reliance Jio has affected other telecom companies.<\/p>\n

    While all the other telecom companies underestimated the power of data, Jio used it to their full advantage and as a consequence, the other telecom companies faced huge losses in their market cap and resulted in the merger of two of the biggest telecom companies in the country – Vodafone and Idea.<\/p>\n

    How Big Data is changing the Telecom Industry<\/h3>\n

    Let’s have a look at how Big Data is changing the Telecom Industry in detail with its applications.<\/p>\n

    With the use of smart-phones and other connected devices expanding at lightning-fast speed, the telecom industry has been flooded with huge chunks of data. The origin of this huge data includes network traffic data, customer\u2019s data usage pattern, location data, downloaded apps, etc.<\/p>\n

    And this huge data is like a goldmine for them. If they dig it the right way, the better are the results. Telecom companies need to store, analyze and gain insights from this colossal amount of data generated through various networks.<\/p>\n

    Big Data Analytics is the guiding light for them. It has the power to allow telecom companies to earn more customers and thus generating higher revenues.<\/p>\n

    Do you know?<\/em> Big Data is like a guiding light for every industry’s success nowadays. And it can also be your guiding light if you enroll now for the online Big Data course<\/strong><\/em> at DataFlair.<\/p>\n

    Conclusion<\/h2>\n

    The Telecom industry is on the brink of a paradigm shift. Smartphones have become a basic necessity these days. People can connect with each other located anywhere in the world, eradicating the distance barrier. We can collect and process information faster than ever and there\u2019s no stopping it.<\/p>\n

    Big Data Analytics will facilitate telecom industries to thrive in this ever-advancing digital world. Without Big Data, telecom companies will be lost in a freeway and there\u2019s no coming back. For any country to progress digitally, the telecom industry plays the most important role in it.<\/p>\n

    So as you all know now that Big Data is very important in today’s world and has good career opportunities,<\/strong> Start Building your Career in Big Data Now!!<\/strong><\/em><\/p>\n

    If you have more good use cases related to Big Data in Telecom Industry, share it through comments.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Telecom connects people to each other from all over the world by eradicating the distance barrier between them. But there are still some barriers that the telecom industry faces in connecting people and it...<\/p>\n","protected":false},"author":6,"featured_media":71546,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[1911,21303,21342],"class_list":["post-71366","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","tag-big-data-applications","tag-big-data-in-telecom-industry","tag-big-data-reliance-jio-case-study"],"yoast_head":"\nBig Data in Telecom Industry - Reliance Jio Case Study - DataFlair<\/title>\n<meta name=\"description\" content=\"Big Data in telecom industry is growing so fast that is beyond our thinking. 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