Use of Big Data Analytics in Telecom Industry

Telecommunication is a difficult business. Being users, we mostly have one question – how can we get the best deal out of the lots of telecom players in the industry? However, in a telecom company, a data analyst may face one or more of the following questions:

1. How do we lead to broader and higher use of data by non-users to increase profit?
2. How can we track call data for minimizing frauds?
3. What should be the ultimate call rate for maintaining profit margins in the rise of difficult price competition among telecom companies?
4. How must many network towers be installed in a specific area for fulfilling the growing interest provided the rise in population, increasing demand for data connectivity and competition?

Sources of big data in telecoms include data from sensors, social media, digital media, downloads, geospatial data, social media utilization, log data, transactions, messages, emails, phone calls and so forth.

Usually, there are three types of big data created in every telecom business:

1. Customer data
2. Network data and
3. Call-details data

These will also include the same as the sources of big data in telecommunications.

In the telecom industry, big data is used for making a real-time analysis of client choices and network effectiveness. The use of Advance analytics directly influences:

1. Data-driven growth
2. Data-driven efficiency and
3. Client experience

Wide use of data science in telecommunications can be categorized as under:

1. Sales and marketing
2. Client service integration and
3. Network infrastructure management

Big data can be used for improving the business procedures and give understandings into the client base of a telecom company in near real-time, utilizing both structured and unstructured data. Some basic areas are:

1. Using data from social platforms for optimizing marketing campaigns
2. Customizing call plans depending on utilization ways
3. Analyzing call data records for identifying fraud actions
4. Monitoring network traffic for improving service

At present, telecom organizations want to move above conventional exploratory and descriptive analytics, which was basically used for business decisions’ postmortem, to machine learning and advanced analytics-driven automated decision making. These new platforms of big data analytics technology are enhancing personalization at a changing scale by enabling telecom organizations to handle client expectations in the real moment of truths.

To get better insights on big data analytics and its role in telecommunications, you must contact a big data training institute for having a data analytics certification. So, just do it today without wasting a moment.

The author is the owner of Data Brio Academy, the leading Big Data Training Institute in Kolkata.