Price is for 1 Day
Duration
1 day
Course Objective
Upon successful completion of this course, participants should be able to understand:
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The concepts about Big data and business value of big data in telecom
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what are the different types of data and its data availability?
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The importance of Network analytics, insights and actions
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How to implement analytics into day to day operations? aka Application of network
analytics
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Data maturity model for network operator
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How to monetize the network data?
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Network data Modeling
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Network analytics architecture and integration with OSS/BSS suite
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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
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Overview of Network Analytics, Insights and Actions
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Network data modelling
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Network problem correlation with Service KPI
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Network Analytic Architecture and integration with OSS/BSS
business suites
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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
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Network Analytic Platform and Insights
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Proactive service operations
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Empowered customer care
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Experience based Marketing
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Network data Monetization
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Conclusion of this topic
7. Data Monetization
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Real use case (story telling) about X operator implementation of network analytics towards their data monetization journey
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Real challenges and learnings in this process
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Conclusion of this topic
8. Conclusion
- References and Inspirations
*Training wrap-up and follow up for further training and advisory