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Introduction

Telcos are no longer selling just voice services but offer a variety of communications, content, and other services. They are considering how to use their data assets to tackle their current business problems. To do this effectively, telcos need to mine this data to provide sufficient insight and actions that deliver business value.

Highlights

  • Business challenges such as falling ARPU levels, intensifying competition, and growing operational costs are forcing telcos to reconsider their operational models
  • Big Data has always been embedded within the telecoms environment but its use was limited to siloed processes and the data stored for shorter periods
  • Telcos may encounter barriers to big data analytics initiatives which include lack of clear business strategy, and the siloed approach to operating business systems, exacerbated by internal politics

Features and Benefits

  • Highlights the benefits of real-time actionable insights to telcos
  • Presents telecoms-focused use cases for Big Data analytics for network operations

Key questions answered

  • What business challenges are forcing telcos to reconsider their existing operations model?
  • What big data analytics use cases can telcos adopt within network operations

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Market context

  • Growing demand for innovation and differentiation
  • Why real-time actionable insights are important to telcos

What is big data?

  • Large and varying datasets
  • Continuous growth of data sources
  • Big data emphasizes the need for advanced data management, storage, and analytic capabilities
  • Big data and analytics in the telco context

How telcos can leverage big data analytics

  • Network analytics for enhanced network operations

Use cases for network analytics based on big data

  • Enhancing the network operation center
  • Achieving improved quality of experience
  • Identifying the call center’s next best action
  • Churn prevention based on perceived customer experience

Barriers to telcos addressing the big data analytics opportunity

  • Business systems existing in silos
  • Cost implications
  • Lack of relevant skills required to exploit big data analytics
  • Internal business-related issues

Recommendations

  • Recommendations for telcos

Appendix

  • Author
  • Figure 4 Notice

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