Price is for 1 Day

Duration

1 day

 

Course Objective

Upon successful completion of this course, participants should be able to understand:

  • The concepts about Big data and business value of big data in telecom

  • what are the different types of data and its data availability?

  • The importance of Network analytics, insights and actions

  • How to implement analytics into day to day operations? aka Application of network

    analytics

  • Data maturity model for network operator

  • How to monetize the network data?

  • Network data Modeling

  • Network analytics architecture and integration with OSS/BSS suite

  • Analytics use cases using network data.

 

Content

 

1. Introduction

Icebreaker: What happens around us every day in this internet world

 

2. Introduction to Big data in Telco

  • Knowing about Big Data in Telco
  • Trends driving fundamental shifts in network operations
  • Big data landscape
  • Big data technologies
  • The business value of Big Data in Telco
  • Conclusion of this topic

 

3. Overview of Network Analytics

  • Overview of Network Analytics, Insights and Actions

  • Network data modelling

  • Network problem correlation with Service KPI

  • Network Analytic Architecture and integration with OSS/BSS

    business suites

  • Conclusion of this topic

 

4. Application of Network Analytics

The second session starts with a high-level brief presentation of data analytics use cases for the mobile telecom sector. This includes examples such as customer experience (Targeted Marketing; Predictive Churn Analysis, Customer Life Cycle Analysis, Proactive customer care); Network Optimization and Operation Analysis.

 

5. Understanding data maturity model

• How to be an info smart enterprise

 

6. Understanding more about network analytics use cases

  • Network Analytic Platform and Insights

  • Proactive service operations

  • Empowered customer care

  • Experience based Marketing

  • Network data Monetization

  • Conclusion of this topic

 

7. Data Monetization

  • Real use case (story telling) about X operator implementation of network analytics towards their data monetization journey

  • Real challenges and learnings in this process

  • Conclusion of this topic

 

8. Conclusion

  • References and Inspirations

 

*Training wrap-up and follow up for further training and advisory

 

 

 

 


 

Introduction to Network Analytics

RM2,500.00 Regular Price
RM1,000.00Sale Price