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