Teradata Case Studies Enhancing Telecom Customer Experience with Network Analytics: A Case Study

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	Enhancing Telecom Customer Experience with Network Analytics: A Case Study Teradata

Enhancing Telecom Customer Experience with Network Analytics: A Case Study

Teradata

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Industries	Telecommunications
Applicable Functions	Sales & Marketing
Use Cases	Movement Prediction
Services	System Integration
Challenge	The second largest telecom operator in Pakistan, with 40.7 million active subscribers, 27% data users and approximately 1.13 BN USD revenue, was facing challenges in maintaining its customer base and minimizing churn attributed to poor network services. Customer feedback indicated that poor network experience was the key reason for churn and dissatisfaction. The marketing, sales, and network teams were making decisions in silos, using disparate data sets. The company lacked the technical expertise to integrate, build, and manage analytical capability on large data volumes related to network experience. They needed help in deploying analytics in their network to generate actionable insights. Read More
About Customer	The customer is the second largest telecom operator in Pakistan, boasting a large customer base of 40.7 million active subscribers, 27% of whom are data users. The company generates approximately 1.13 BN USD in revenue and hosts the world’s third largest mobile financial services. Despite its size and success, the company was struggling with customer retention due to poor network services. The company lacked the in-house expertise to deploy analytics in their network to generate actionable insights and improve their services. Read More
Customer Name	Major Telecoms Operator Read More
Solution	Think Big Analytics was brought in to address these challenges due to their reputation for deploying advanced analytics and dealing with complex use cases. They delivered the capability to perform analytics on 14+ Key Network Quality Indicators, and 50+ medium & 300+ highly detailed ones consistently across various business situations. This was achieved through specially designed analytical BI dashboards delivering insights on aggregate and individual customer levels, major data use-case delivery, and the utilization of Unified Data Architecture. This pioneering solution of Network Experience Analytics capability was the first of its kind in Pakistan. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Industries

Telecommunications

Applicable Functions

Sales & Marketing

Use Cases

Movement Prediction

Services

System Integration

Challenge

The second largest telecom operator in Pakistan, with 40.7 million active subscribers, 27% data users and approximately 1.13 BN USD revenue, was facing challenges in maintaining its customer base and minimizing churn attributed to poor network services. Customer feedback indicated that poor network experience was the key reason for churn and dissatisfaction. The marketing, sales, and network teams were making decisions in silos, using disparate data sets. The company lacked the technical expertise to integrate, build, and manage analytical capability on large data volumes related to network experience. They needed help in deploying analytics in their network to generate actionable insights.

About Customer

The customer is the second largest telecom operator in Pakistan, boasting a large customer base of 40.7 million active subscribers, 27% of whom are data users. The company generates approximately 1.13 BN USD in revenue and hosts the world’s third largest mobile financial services. Despite its size and success, the company was struggling with customer retention due to poor network services. The company lacked the in-house expertise to deploy analytics in their network to generate actionable insights and improve their services.

Customer Name

Major Telecoms Operator

Solution

Think Big Analytics was brought in to address these challenges due to their reputation for deploying advanced analytics and dealing with complex use cases. They delivered the capability to perform analytics on 14+ Key Network Quality Indicators, and 50+ medium & 300+ highly detailed ones consistently across various business situations. This was achieved through specially designed analytical BI dashboards delivering insights on aggregate and individual customer levels, major data use-case delivery, and the utilization of Unified Data Architecture. This pioneering solution of Network Experience Analytics capability was the first of its kind in Pakistan.

Impact #1	The engagement with Think Big Analytics resulted in several operational improvements for the telecom operator. The company was able to gain insights into previously undiscovered fields, revealing a customer base of passive users. This enabled the company to increase churn prediction accuracy, improve complaint handling efficiency, and optimize marketing and sales planning as well as product rollouts. The solution also enabled channel marketing and resulted in increased complaint accuracy, decreased complaints, and efficient Turnaround Times (TATs). Overall, the solution significantly improved the company's network experience analytics capability.

Impact #1

The engagement with Think Big Analytics resulted in several operational improvements for the telecom operator. The company was able to gain insights into previously undiscovered fields, revealing a customer base of passive users. This enabled the company to increase churn prediction accuracy, improve complaint handling efficiency, and optimize marketing and sales planning as well as product rollouts. The solution also enabled channel marketing and resulted in increased complaint accuracy, decreased complaints, and efficient Turnaround Times (TATs). Overall, the solution significantly improved the company's network experience analytics capability.

Benefit #1	Approximately 16% increase in churn prediction accuracy, resulting in increased customer retention.
Benefit #2	Identification of approximately 8M (11% of total) Passive Subscribers through Network Paging KPI, leading to new tailor-made campaigns directed at re-activating subscribers.
Benefit #3	Integration of operational planning resulted in optimized product, sales, and network rollouts.

Benefit #1

Approximately 16% increase in churn prediction accuracy, resulting in increased customer retention.

Benefit #2

Identification of approximately 8M (11% of total) Passive Subscribers through Network Paging KPI, leading to new tailor-made campaigns directed at re-activating subscribers.

Benefit #3

Integration of operational planning resulted in optimized product, sales, and network rollouts.

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Overview

Enhancing Telecom Customer Experience with Network Analytics: A Case Study

Operational Impact

Quantitative Benefit