In recent years, big data has been growing steadily. It has become a crucial part of all aspects of a communication service. Electronic communication means that we are talking about the production of data with wireless or wired means. The rapid increase in the use of smartphones and other connected mobile devices has led to the growth of data flowing through the networks of telecom operators. The operator must process, store and extract knowledge from the available data.
Today, Big Data is in various fields, such as information technology, telecommunications, theoretical computer science, mathematics, data mining, and data warehousing. Big data analytics increases profitability by helping in optimizing network usage and services, improve customer
experience, and improve security. The telecommunications industry has an advantage over other sectors due to the maximum bandwidth and depth of data collected in its business activities. Using a telecommunications
analytics solution will help a company get better information and produce more benefits. Such a system allows the company to stay ahead of its competitors and provide better requirements to its potential customers. All users can access data according to the permissions previously established by the IT department, making it a secure and governed solution.
Its applications are innumerable, and organizations of all sizes are willing to improve their performance through big data analytics tools. The amount of data generated is quite large and transferred from various Internet
entities on the network, such as video on demand, news broadcasts, and e-commerce websites. In the age of social media, websites produce data at an enormously high speed.
Indian telecom companies have realized that big data can increase average revenue per user (ARPU), reduce customer churn, increase revenue and improve market share. They are starting to grow their business by investing in analytical tools beyond traditional business intelligence technologies.
And as these analytical tools help telecom companies expand their reach, their role becomes more than that of an old telephone service provider. The data which is collected is so valuable that they will use it not only to
improve their business but also to influence new industries. They will spread their wings and become information providers and content distributors. In reality, more than 3.2 billion of the total population that is
46% of the total population, stay connected to the internet with the help of a smartphone. Since then, half of the data got transferred via mobile devices, and in 2012, according to a study, it explained that 90% of the data might get
transferred via mobile devices and tablets (wireless connections). Every device that connects to the internet generates data. More than 5.5 billion people use cell phones. As technology is rapidly changing from ordinary
mobile phones to smartphones; hence the percentage of Internet users is also growing. Forecasting tools are used to predict the amount of Big Data that will get generated in the future. It could be a threat to the
telecommunications industry, as they have already invested millions of dollars in processing and archiving the files.
As technology is changing, all data is transferred over wireless connections. But to support the telecommunications industry in the market, the need to strengthen the strategies based on the current scenario is increasing. They also have the opportunity to target this untapped market.
For a data analytics career, Big Data Certification courses are there. Associate Certified Analytics Professional (aCAP) is an associate degree entry-level analytics certification for Big Data Analytics Certification that
focuses on the seven domains of the analytics process: the business downside framing, analytics problem framing, data, methodology assortment, model building, deployment, and lifecycle administration.
The Big Data Hadoop Certification training provides an in-depth knowledge of the big data framework using Hadoop and Spark. Cloudera Hadoop Certification is the world’s preferred Hadoop distribution.
It includes all the leading Hadoop ecosystem elements to store, process, discover, and serve complete information. It’s built to fulfill the best enterprise standards for stability and responsibility.
However, the potential of big data poses a challenge: how can a company use data to increase revenue and profits along the entire value chain, spanning network operations, product development, marketing, sales, and customer service. Big data analytics, for example, allows businesses to
predict peak network usage so they can take steps to alleviate congestion. It helps to identify customers who are in trouble due to payment issues and those who are about to switch their network operators. Traders are
generally advised not to take the usual top-down approach to Big Data analytics, signaling the problem to be solved and then looking for data to help solve it. Instead, traders should focus on the data itself, using it to
create correlations and connections. If done correctly, the data could reveal information that could form the most optimized base of operations.
Today, companies are focusing on overhauling their data architecture, consolidating data, and eliminating legacy systems. Big data has a significant impact on businesses, as it helps them efficiently manage large
volumes of data. Technology shift in data growth predicts that there will be many infrastructural challenges, which include but are not limited to, bandwidth problems, network maintenance and support issues, and MSC’s and BSC’s congestions. Currently, organizations that are dealing with Big Data are increasing resources for load balancing.
Therefore, the big data market might see significant growth in the anticipated years due to the rapid increase in structured and unstructured data. Other factors include the growing penetration of technology across all walks of life and the expansion of smartphones. It leads to the generation of
larger amounts of data. The growing need to analyze the data will lead to an increase in demand for big data during the forecast period. Also, the number of online businesses in the industry is growing, thanks to improved
profit margins. Other sectors, such as healthcare, utilities, and banking, will make extensive use of online platforms to serve their customers better.
It is better to find out the insights from the data collected and take valuable decision to achieve the business goals.