Best Practice Applications of Digital Technologies in MNO Operations
2018.04.11   |   29 pages   |   Digital Transformation

Author:
Anne Dupuy-Cambier


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The telecoms industry is at a critical turning point, with regard to implementation and exploitation of digital technology.

Leading operators are already embracing fundamental transformation, whereby they re-invent and adapt their operations using the latest digital technologies to simplify business processes, and increase the quality of their services, while improving efficiency. 

  • Other operators are, so far, focusing on digital mainly as a means to improve customer experience and diversify new revenue streams.
  • While this provides short-term returns with less risk and allows operators to retain their core culture, using digital services to attempt to compete with digital natives and OTT service providers is not sustainable.

This shift to a next generation operating model requires a bold commitment from operators for re-inventing process and infrastructure, establishing agile ways of working and changing the organisational culture. 

  • There is no reason why these approaches cannot be piloted in customer-facing areas of the business, but failure to take the lessons to the rest of the business will result in a digital veneer on a costly, high inertia corporate framework that is not able to compete in a fully digital eco-system.

This report explores the opportunities for MNOs to digitally transform their own operations to deliver innovation, simplification, automation and enhanced business intelligence, while improving efficiency and profitability and ensuring they get their value share from digital transformation.

 

Companies: AT&T, Spark, SK Telekom, Telefónica, Deutsche Telecom, Orange, KPN, Telia, Bharti Airtel, T-Mobile,

Countries: USA, Europe, New Zealand, Germany, Austria, South Korea, Argentina, Brazil, Chile, Germany, Spain,

Keywords: DevOps, greenfield, analytics, network virtualisation, Natural Language Processing, Internal operations, Artificial Intelligence, Operation expenditure, Machine Learning, agile, simplification, Capital expenditure, Digital technologies, legacy system, process automation, SDN, NFV,

1

Overview

1

2

Introduction

2

2.1

Background to the Report

2

2.2

Report Content

3

2.3

Currency and Conversions

3

2.4

Further Questions and Feedback

3

3

The Value of Digitalising Operations

5

3.1

Introduction

5

3.2

Quantifying the Opportunities

6

3.3

Challenges in Justifying the Business Case

8

4

Adoption Enablers and Barriers

10

4.1

Network of the future

10

4.1.1

Enablers

10

4.1.2

Barriers

11

4.2

Process Automation

11

4.2.1

Enablers

12

4.2.2

Barriers

13

4.3

Artificial Intelligence

14

4.3.1

Drivers

15

4.3.2

Barriers

16

5

Best Practices Use Cases

18

5.1

AT&T: Next Generation Network

18

5.2

SPARK: Process Automation and Simplification

19

5.3

SK Telecom: AI for the Network

22

5.4

Telefónica: Cognitive Intelligence

23

5.5

Deutsche Telekom: Technology and Innovation Department

25

6

Key Findings

27

7

Recommendations

28

 

Appendix – Feedback Questions

30

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