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Introduction

With the almost universal penetration and use of mobile broadband, telecom operators are finding that their networks and operations are generating more data than ever before. However, one of the biggest challenges lies not in simply collecting the data, but correlating and analyzing it in real time.

Highlights

  • Declining revenues, increasing network traffic, and rollout of new technologies such as SDN/NFV are driving the need for operators to make quicker decisions.
  • Fast data technologies enable operator applications to make real-time decisions based on insights from live data streams.

Features and Benefits

  • Provides insights into some of the use cases for real-time analytics in telecoms.
  • Highlights the functionalities that enable real-time analytics

Key questions answered

  • What factors are driving the need for real-time decisions within the telecoms industry?
  • What specific use cases require real-time decisions?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations for service providers

  • Adopt a unified database architecture that supports real-time analytics

Current market conditions in telecoms

  • Operators' declining revenue performance drives the need to grow revenues
  • Impact of OTT services on operators
  • IoT/M2M becoming dominant play for operators
  • Adopting SDN/NFV to achieve operational agility

Advanced real-time decision-making to drive real-time actions

  • Evolution of 3GPP specifications requires adoption of real-time capabilities
  • Fast data as the enabler of real-time analytics and decisions
  • Essential requirements of a real-time analytics and decision database engine

Applications of real-time analysis and decision-making for telecom operators

  • Existing use cases
  • Benefits of real-time analytics and decisions

Appendix

  • Methodology
  • Further reading
  • Author

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