Telecom Revenue Assurance & Fraud Management Course

Overview

📘 Course Description

This course provides a comprehensive understanding of revenue assurance (RA) and fraud management (FM) in the telecommunications sector. Participants will gain hands-on knowledge of identifying and plugging revenue leakages, deploying automated RA systems, preventing fraud, and aligning revenue protection strategies with operational and financial goals. The training combines technical, operational, and strategic perspectives, backed by real-world telecom case studies, data analytics, and industry frameworks (TM Forum, GSMA).

🎯 Course Objectives

By the end of this course, participants will be able to:

Understand the end-to-end telecom revenue chain and leakage points
Apply industry best practices for revenue assurance and fraud prevention
Design and implement RA frameworks, KPIs, and controls
Detect and mitigate telecom-specific fraud types (e.g., bypass, subscription, roaming)
Use data analytics and AI tools in RA and FM processes
Ensure regulatory compliance and financial integrity

👥 Who Should Attend

Revenue Assurance Managers
Fraud Management Analysts
Internal Auditors & Risk Officers
Billing & Finance Teams
Network Operations & IT Managers
Regulatory Compliance Officers
Telecom Consultants and Solution Vendors

🧠 Training Methodology

Expert-led interactive sessions
Real-world telecom case studies
Hands-on exercises using test datasets
Group discussions & problem-solving
Access to industry standards and frameworks
Optional software tool demonstrations

📅 Detailed 5-Day Agenda with Time Breaks

📆 Day 1: Fundamentals of Revenue Assurance in Telecom

Time	Topic
08:30–09:00	Welcome & Introduction
09:00–10:30	Overview of Telecom Business Processes & Revenue Chains
10:30–10:45	☕ Coffee Break
10:45–12:15	Introduction to Revenue Assurance: Definitions, Scope & Value
12:15–13:15	🍽️ Lunch
13:15–14:45	Types and Sources of Revenue Leakage in Telecom
14:45–15:00	☕ Coffee Break
15:00–16:30	RA Maturity Models and TM Forum Frameworks (GB941/GB942)

📆 Day 2: Revenue Assurance Processes and Tools

Time	Topic
08:30–10:00	Key RA Process Areas: Usage, Rating, Billing, Collections
10:00–10:15	☕ Coffee Break
10:15–12:15	RA Controls Design and Implementation
12:15–13:15	🍽️ Lunch
13:15–14:45	Data Reconciliation Techniques (CDRs, Mediation, IN, Billing)
14:45–15:00	☕ Coffee Break
15:00–16:30	Using Data Analytics in Revenue Assurance

📆 Day 3: Telecom Fraud Management Fundamentals

Time	Topic
08:30–10:00	Introduction to Telecom Fraud: Classifications & Trends
10:00–10:15	☕ Coffee Break
10:15–12:15	Common Fraud Types: Bypass, Subscription, SIM Box, Roaming Fraud
12:15–13:15	🍽️ Lunch
13:15–14:45	Telecom Fraud Lifecycle & Detection Techniques
14:45–15:00	☕ Coffee Break
15:00–16:30	Fraud Management Systems (FMS): Architecture and KPIs

📆 Day 4: Advanced Techniques in RA & FM

Time	Topic
08:30–10:00	AI/ML and Automation in RA and FM
10:00–10:15	☕ Coffee Break
10:15–12:15	Proactive Fraud Prevention Strategies
12:15–13:15	🍽️ Lunch
13:15–14:45	Internal Audit & Forensics in Revenue Protection
14:45–15:00	☕ Coffee Break
15:00–16:30	Case Study: Multi-Operator Fraud and Revenue Leakage

📆 Day 5: Strategy, Compliance & Wrap-Up

Time	Topic
08:30–10:00	KPIs, SLAs, and Performance Metrics for RA/FM
10:00–10:15	☕ Coffee Break
10:15–12:15	Regulatory & Financial Compliance (e.g., SOX, ITU, GSMA)
12:15–13:15	🍽️ Lunch
13:15–14:45	Designing a Revenue Assurance & Fraud Management Roadmap
14:45–15:00	☕ Coffee Break
15:00–16:30	Group Presentation, Wrap-Up & Certification Distribution

📂 Course Materials Provided

Telecom RA & FM Toolkit (Templates, Dashboards, Controls Matrix)
Industry Standards (TM Forum RA/FMS Models, GSMA Fraud Reports)
Real-World Data Samples and Case Studies
Reference Handbook & Glossary
Certificate of Completion

Target audiences

Reservoir Engineers, Geologists

Telecom Revenue Assurance & Fraud Management Course

$ 5,800

Course Features

Lecture 0
Quiz 0
Duration 5 days
Skill level All levels
Language English
Students 40
Assessments Yes

📡 Revenue Assurance and Fraud Management in Telecom