Big Data In Telecom Industry

Big Data In Telecom

What is Big Data ?

Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.

Types of Big Data :

1. Structured
2. Unstructured
3. Semi-structured

Structured Big Data :

Any data that can be stored, accessed and processed in the form of fixed format is termed as a ‘structured’ data.

Unstructured Data :

Any data with unknown form or the structure is classified as unstructured data.

Semi-structured Data :

Semi-structured data can contain both the forms of data. We can see semi-structured data as a structured in form but it is actually not defined with e.g. a table definition in relational DBMS.

 Big Data In Telecom Industry :

Generally, Telecommunication companies collect a large amount of data. This data includes mobile phone usage, records, network equipment, server logs, billing, and social networks. This data provides a lot of information about their customers and network.

Today, with the rapid expansion of smartphones, connected mobile devices, and telecom services over the internet, communications service providers (CSPs) need to handle a lot of data. They need to rapidly process, store and get insights into the diverse volume of data. This data generally travels across extensive networks.

So, Big data analytics can help CSPs and telecom industries to improve profitability. It can be enhanced by optimizing network services, enhancing customer experience, and providing security.

Big data analytics mainly helps in:

• Predicting the most substantial network usage periods, and then further targeting steps to relieve congestion.
• Identifying the customers facing the problems in paying bills and targeting steps to improve the recovery of payments.
• Analyzing the root cause of the problem to prevent customer churn.

Use cases of Big data in telecom Industry :

1.Fraud Detection 

2.Predictive Analysis

3.Customer Churn Prevention

4.Lifetime Value Prediction

5.Customer Segmentation

6.Product Development

7.Customer Sentiment Analysis

8.Recommendation Engines

9.Price Optimization

10.Network Management and Optimization

Big data can also open up new revenue streams, including supplying third parties with information on customers. Big data analysis also tends to reduce the CAPEX or OPEX relevant to corporate transactions.