Business Intelligence for Telecommunications and Network Insights Training Course: Enhancing Network Performance and Customer Experience

Introduction

The telecommunications sector generates vast amounts of operational, customer, and network performance data from mobile, broadband, and enterprise services. Business Intelligence (BI) empowers telecom organizations to transform this data into actionable insights, enabling optimization of network performance, improved customer experience, and informed strategic decision-making. By leveraging predictive analytics, real-time dashboards, and advanced data visualization, telecom operators can monitor service quality, identify network bottlenecks, and optimize operations across multiple channels.

This training course equips participants with practical skills to apply Business Intelligence in telecommunications and network management contexts. Through real-world case studies, hands-on exercises, and BI platform integration, learners will explore network performance analytics, customer behavior insights, churn prediction, and operational dashboards. By the end of the course, participants will be able to design and implement BI solutions that enhance service delivery, improve network efficiency, and support data-driven decisions across telecom operations.

Duration: 10 Days

Target Audience

  • Telecom analysts and network managers
  • Business Intelligence professionals in telecommunications
  • Customer experience and operations specialists
  • Data analysts supporting telecom decision-making
  • Decision-makers seeking actionable insights for network and customer performance

10 Objectives

  1. Understand the fundamentals of telecommunications analytics and BI
  2. Explore telecom data sources for operational, network, and customer insights
  3. Design data models and reporting frameworks for network performance and service quality
  4. Implement ETL/ELT pipelines for telecom datasets
  5. Apply predictive analytics for churn, demand forecasting, and network optimization
  6. Develop and deploy BI dashboards for real-time network and operational monitoring
  7. Measure key performance indicators for network efficiency and service quality
  8. Ensure data quality, governance, and compliance in telecommunications analytics
  9. Examine industry best practices and case studies
  10. Deploy comprehensive BI solutions to enhance decision-making in telecom operations

15 Course Modules

Module 1: Introduction to Telecom BI

  • Overview of BI in telecommunications
  • Benefits for operational efficiency and customer experience
  • Key components of telecom BI systems
  • Emerging trends in telecom analytics
  • Data-driven decision-making frameworks

Module 2: Telecommunications Data Sources

  • Network performance and traffic data
  • Customer usage and billing data
  • CRM and support systems data
  • Mobile, broadband, and enterprise service datasets
  • Data quality and integration challenges

Module 3: Data Modeling for Telecom Analytics

  • Star and snowflake schemas for network datasets
  • Fact and dimension tables for operational and customer metrics
  • Normalization vs denormalization
  • Designing models for KPIs and performance dashboards
  • Optimizing models for large-scale telecom datasets

Module 4: ETL/ELT Processes in Telecom BI

  • Extracting data from OSS, BSS, and CRM systems
  • Transforming operational, network, and customer data
  • Loading into data warehouses or BI platforms
  • Automating ETL/ELT workflows
  • Monitoring and troubleshooting pipelines

Module 5: Network Performance Analytics

  • Monitoring network uptime, latency, and throughput
  • Identifying bottlenecks and outages
  • KPI tracking for operational efficiency
  • Benchmarking network performance
  • Reporting for network management decisions

Module 6: Customer Analytics and Churn Prediction

  • Analyzing customer usage patterns
  • Predictive modeling for churn risk
  • Customer segmentation for targeted campaigns
  • Engagement and satisfaction metrics
  • Dashboard visualization for customer insights

Module 7: Revenue and Billing Analytics

  • Analyzing billing accuracy and revenue streams
  • Identifying revenue leakage and fraud detection
  • Subscription and pricing plan analysis
  • Predictive revenue modeling
  • Interactive dashboards for financial insights

Module 8: Service Quality and SLA Analytics

  • Monitoring service-level agreements (SLAs)
  • Real-time incident tracking
  • Customer complaint and support analytics
  • Identifying trends in service performance
  • Reporting SLA compliance and improvements

Module 9: Predictive Analytics in Telecom BI

  • Forecasting network demand and traffic
  • Predictive maintenance for network infrastructure
  • Modeling subscriber growth and usage trends
  • Scenario analysis for capacity planning
  • Integrating predictive insights into dashboards

Module 10: Real-Time Telecom Analytics

  • Event-driven monitoring for network operations
  • Streaming data from network and customer systems
  • Low-latency dashboards for operational decisions
  • Automated alerts for anomalies and outages
  • Real-time reporting for management

Module 11: Advanced Analytics and Machine Learning

  • Applying machine learning for network optimization
  • Customer behavior prediction and segmentation
  • Prescriptive analytics for operational improvement
  • Anomaly detection in network traffic
  • Case studies in telecom BI applications

Module 12: Cloud and Hybrid Architectures for Telecom BI

  • Cloud-based BI platforms for telecom data
  • Hybrid deployments for sensitive operational datasets
  • Security, privacy, and compliance considerations
  • Scalability for large network and customer datasets
  • Platform selection and deployment best practices

Module 13: Data Governance and Compliance

  • Ensuring data accuracy and integrity
  • Regulatory compliance and privacy considerations
  • Access control and auditability
  • Governance frameworks for telecom BI
  • Best practices for reporting and monitoring

Module 14: Visualization and Dashboard Development

  • Designing dashboards for network, operational, and customer insights
  • KPI visualization best practices
  • Interactive charts, heat maps, and performance indicators
  • Real-time monitoring dashboards
  • Custom reporting for decision support

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

 

Business Intelligence For Telecommunications And Network Insights Training Course: Enhancing Network Performance And Customer Experience in Holy See
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