Prioritising automation: Creating a successful building block strategy

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Adopting automation, AI and data analytics is a key pillar of telco strategies. This report aggregates the surveyed opinions of more than 100 telecoms execs and provides recommendations on the practical roadmap for achieving this.


Format: PDF filePages: 22 pagesCharts: 13Author: Michelle LoPublication Date: March 2021

Table of Contents

  • Executive Summary
    • Automation: How to get there faster
    • Achieving automation: The building block strategy
  • Automation, AI and data analytics are driving telco strategy
    • Network and service operations: The current state of automation
    • Not all automation journeys are the same: Ambitions, region and maturity all impact adoption
  • Defining, evaluating, prioritising: Creating a successful building block strategy
    • Step one: Defining automation domains
    • Step two: Evaluating the importance of domains
    • Step three: Prioritising automation domains
  • Making automation bitesize: How to innovate
    • Changing people, processes and culture
    • Building trust in automated systems
    • Automation chaining and managing domain interfaces
  • Recommendations for the industry
  • Appendix: Breakdown of telecoms survey respondents

Table of Figures

  • Figure 1: Key automation use cases in network and service operations
  • Figure 2: Automating network and service operations will deliver the largest financial impact for a telecoms operator
  • Figure 3: Most progress so far has been made in “intra-process automation”
  • Figure 4: Some flagship automation use cases are gaining maturity, but none are close to being fully automated
  • Figure 5: Changing ambitions in the telecoms industry bring automation to the fore
  • Figure 6: Operators’ ambitions in Europe are more diverged than in other regions
  • Figure 7: Maturity of an automation domain correlates to its level of coordination
  • Figure 8: Over 40% of respondents feel they have a clear automation strategy, but only one in five are systematically tracking KPIs
  • Figure 9: Regional pressures impact the key driver that operators identify for justifying automation
  • Figure 10: Operators struggle more with challenges around people and skills than technology
  • Figure 11: Inter-process automation between network and service domains
  • Figure 12: Those with ambitions to move beyond connectivity need to ensure they have rigorous automation interfaces between different business units
  • Figure 13: Operators should start with intra-process automation and plan for inter-process automation


Technologies and industry terms referenced include: AI and data analytics automation, Automation strategy, Closed loop automation, Cloud-native processes, network automation, Network Fault detection root cause, Process automation, Robotic process automation, RPA, Service automation