What is end-to-end network automation and why do we need it?

Network automation is not new but one area that that is ripe for telecoms operators. We explore the different perspectives and definitions of end-to-end automation and why operators have been prioritising network automation in the wake of the COVID-19 pandemic.

Network automation has been a key priority for telcos in 2020

Earlier this year in May, STL Partners published a report on the impact of COVID-19 on telco priorities. It is based on a survey with more than 200 respondents across operators, vendors and others in the telecoms industry to understand different perceptions of how telco investment priorities and activities will change in 2020 in response to COVID-19.

One headline finding of our research was that automation was clearly rated a near-term priority, particularly by telco respondents.

Automation is a clear technology priority for the telecoms industry, particularly for telcos

COVID-19 has added a particular sense of urgency to telco automation initiatives that were already under way. Many short-term automation priorities have been primarily network focused. With regards to strategic planning and network operations in particular, COVID-19 added pressure on operators in the short term to focus on providing more predictive and efficient management of the field workforce but also to optimise the network to handle changes in usage patterns.

In terms of long-term goals, these are largely unchanged but have been accelerated due to increased priority investments in automation. These are primarily focused on closing the loop on as many end-to-end processes as possible, e.g. within network operations or service provisioning, but also on ensuring all pre-existing automation efforts are not disrupted as telcos roll out 5G.

See how STL can help you capitalise on the telco cloud opportunity

The telco cloud is essential in the 5G era. Stay informed with our insights service and industry-leading database of NFV/SDN deployments. Book a demo today.

Book a demo

End-to-end automation has different interpretations

What is evident from our recent research is that end-to-end automation means different things to different operators therefore their ambitions and desired outcomes manifest themselves in many different ways.

Some operators define end-to-end automation as automation across all parts of the network lifecycle, from network planning and design, to set-up, launch and rollout, through to in-life management and orchestration.

Figure 2: End-to-end automation across all parts of a network lifecycle

Others see end-to-end automation as automation across all the different network domains, i.e. the physical infrastructure layers, from access to core.

Figure 3: End-to-end automation across different physical infrastructure layers

Another alternative (and interesting) perspective is to look at end-to-end automation as automation across the entire customer lifecycle, from service ordering all the way through to customer care and support. This encompasses both the network and the BSS domains.

Figure 4: End-to-end automation of the entire customer experience

…but not all telcos think it is achievable

Although end-to-end automation is a key goal that many operators strive towards, it is also one that others don’t see as achievable. In one of our recent interview programmes with operators, one particular operator believed that not every journey can be automated end-to-end, that some configuration changes are too complex, or that they will always encounter new faults that have never been seen before. Another operator also sees end-to-end automation as more of an ongoing journey as opposed to an end goal.

End-to-end automation is a key ingredient to B2B2X growth

Our wider research has found that telcos are increasingly focusing on ecosystems as an approach to unlock B2B2X revenue growth. Going back to the last perspective in Figure 4, we see end-to-end automation as being a key part of enabling these ecosystems, in order to provide the ability to reorientate and address diverse, everchanging customer needs at scale. Customers today are not only already demanding speed, accuracy and flexibility, they expect it. Going further, some customers are also asking for more self-provisioning and self-servicing capabilities from telcos.

But in an ecosystem-centric world, customers are not the only stakeholders telcos should focus on. Successful ecosystems depend on its ecosystem participants. As an ecosystem participant, automation can play a key role in ensuring telcos are the easiest partner to work with. And as an ecosystem orchestrator, automation is a key tool that telcos can provide to its ecosystem participants in order to better track and deliver every end-customer need. At the heart of it all, only with automation can operators deliver this degree of agility and flexibility that customers and partners want and need.

At STL Partners, we have extensive research and consulting work within automation, analytics and AI both within the network domain and beyond. We will be sharing our perspective and key insights from our work very soon, so stay tuned!

Yesmean Luk

Yesmean Luk

Yesmean Luk

Principal Consultant

Yesmean is a Senior Consultant at STL Partners and has led and managed client projects with both operators and technology companies across a number of domains, including private networks, telco cloud, network slicing, edge computing and IoT. Before joining STL, she held various consulting roles at Deloitte and IBM. She holds a Global MSc in Management from the London School of Economics, specialising in strategy and international business.

Advanced analytics for telecoms: how to unlock AI and ML capabilities

With more data than ever before, advanced analytics forms the base for AI and ML capabilities to play an essential role into the day-to-day operations of major telcos enabling smarter, more agile networks.

Automation in the telecoms industry: A key differentiator

AI and automation are becoming increasingly important to telco strategies as they seek to handle new network complexities and address revenue decline. This article explores how telcos are thinking about automation, and why they should think about moving from intra-process automation in the short term, to inter-process automation in the longer term.

Why AI in telecoms matters in the Coordination Age

As we move into the Coordination Age, telcos are under increasing pressure to innovate and find new sources of revenue growth. AI is one of a host of new technologies which can help them to achieve this.