3 tips for accelerating digital transformation in telecoms

The telecoms industry is no stranger to change. After all, the leading players in this sector have delivered network connectivity and devices that sit behind many of the world’s game-changing digital innovations. Take digital pioneer Uber as an example; it simply wouldn’t exist without the proliferation of smartphones and underpinning mobile network engines. But there’s a problem for the telecoms companies providing the networks and devices enabling these new business models. These telco giants need to accelerate their own digital transformations but, unlike digital start-ups, they have made massive investments in legacy IT over the past few decades and can’t simply ‘switch on digital’.

Nonetheless, business leaders recognise that, as consumers increasingly demand a digital customer experience, one that offers instant gratification, they must embrace the digital economy. Failure to become a truly digital company, is not an option. You only have to look at the number of big name companies that have gone out of business in recent years because they couldn’t, or wouldn’t, transform.

So, how can traditional telecoms companies survive in today’s fast-changing digital economy? Not known for their agility, how do they forge ahead quickly with digital transformation programmes that ensure their business models and operations are fit for the future? There are many recommendations for accelerating transformation, embracing technical, operational and process change, but I’m going to focus on just three in this blog.

Tip 1 – Modernise legacy applications, rather than dispose of them

At Sopra Steria, we encourage those clients with a heavy investment in legacy assets to modernise what they’ve invested in over the years, while ensuring they also keep pace with modern, cloud-based developments. It’s clearly not feasible to replace decades-old systems and applications in their entirety. That’s especially so in an industry experiencing significant pressure on revenues and margins (e.g. decreased roaming revenues, commoditisation and price erosion) and needing to continue investing in their networks (SDN/NFV & 5G, etc). So, my recommendation is to adopt an evolutionary approach. Ask what you need to do to extract more value from existing IT assets in line with a digital strategy. Then look at the real business triggers for legacy applications to become redundant or the option to replace with new, cloud-native ones. Be selective in your investments and opt for projects that give a rapid ROI. Modernisation offers a quick win as you accelerate your digital transformation.

Top 2 – Use Agile coaches to turn DevOps from theory into reality

We all know that speed to market with new services and products that give customers the digital experience they’re looking for is vital. To achieve this, organisations recognise that they need to transform their software development processes. Traditional lengthy waterfall-style development must be replaced with a DevOps culture that enables rapid, frequent releases through Agile sprints. This is typically a strategic top-down decision that sounds good in theory. The message is clear: we need to release fast, often and with assured quality; and we need to be agile so that we can respond quickly as the market changes. Yet that message becomes lost as it filters down through the management layers and those people expected to put theory into practice struggle to make it happen. I’ve seen enterprises overcome this by embedding Agile coaches at different layers of the organisation. These are people with practical experience of DevOps and Agile, able to lead and demonstrate this new way of working. This is a case of ‘don’t just tell us how to do it, show us as well’.

Tip 3 – Address adoption challenges with a defined vision and value position

Even with Agile coaches embedded in the end-to-end DevOps cycle, we still see instances where an organisation has implemented a new system or launched an innovative app that fails to gain traction with users. Let’s say, for example, you want to launch a mobile-front end on your Oracle DB system, enabling your employees to access what they need, where and when they need it. Or you might have invested millions in a new cloud platform for better visibility and control. If you want to avoid this being money down the drain, you must encourage user adoption. This requires communication of the ‘vision for’ and ‘value of’ your investment. So, it’s not just a case of communicating what the new capability is for (the vision), but clearly articulating the benefit it will bring both to the business and the users themselves (the value). If it’s a sales application, why would your salespeople use it if they perceive that’s it’s just a management tool for tracking what they do? How much more enthusiastic would they be if they understood how it will help them to sell more, faster? It sounds a simple tip for ensuring successful adoption of new digital tools, but the lack of a defined vision and value proposition can so easily stand in the way of you achieving your desired business outcomes.

Get in touch

The above three tips are just a flavour of the new thinking and approaches that telcos must take on board to survive in today’s digital economy by accelerating their digital transformations.

To find out more please contact me – jason.butcher@soprasteria.com 

Confronting the M&S challenge – why data is the solution

The impact of digital on the retail sector hit home at the end of May when M&S announced that it was accelerating its digital transformation following plunging profits. That one of the UK’s best-known retail brands had clearly failed to keep up with digital consumer trends may have come as a shock to many. I wasn’t surprised, however. I’ve recently written a paper on this very topic. In ‘Why data is the new retail battleground’ I look at one of the key reasons why traditional retailers are struggling to compete with their digital competitors – data.

For me, the challenge is not that these retailers have failed to invest in online commerce channels. Indeed, many are doing well in this respect. What’s holding them back is that they’re still using decades-old back office systems and processes governing Product Lifecycle Management (PLM), Product Information (PIM) and Product Master Data Management (MDM). These retailers, and especially those with a catalogue heritage, retain a large legacy of systems, processes and cultural norms that are not aligned to the expectations of today’s customer. They’ve typically expanded into digital channels to meet the consumer appetite, but they’re being hindered by operating models that remain wedded in their legacy data management principles.

The Amazon effect

To compete with the likes of Amazon and other digital retailers, traditional companies must transform – and they need to do this fast. The ability to capture the right product information quickly and accurately, then push it out to the relevant operational (Finance, Warehouse, Transport, Order Management, etc.) and commercial (Merchandising, Marketing, Pricing, etc.) systems will be critical for this. However, these processes are typically not well managed, or even automated, by many traditional retailer organisations today. Everything from data input, data cleansing and data matching, data enrichment and data profiling, through to data syndication and data analytics, is still dependent on disconnected and largely manual operations.

It’s clearly time to automate those areas of data management that are tying up valuable human resources in manual repetitive tasks. Trying to do what they do now without automation will not work for traditional retailers. In my paper, I describe a set of automation best practice that all retailers should be considering in this respect.

A strategic choice

I also point out that this isn’t just an IT challenge. It is a strategic choice to build a single source of data truth on which product decisions can be made. This is built on an understanding that to remain competitive with responsive and agile operations, every day, organisations need to bring about both technology and cultural change.

Like many traditional retailers, M&S clearly has a number of digital challenges to confront, such as those described above. After announcing its 62% drop in pre-tax profits, the retailer declared it would be modernising its business through ‘accelerated change’ to cater for an increasingly online customer base. I hope it puts data at the heart of this transformation.

Read my paper for more on how to move to a new data-led operating model in today’s fast-moving retail environment.

2020: Retail as a Service?

Digital disruption is typically seen as a form of “waterfall innovation” – where a new entrant unseats legacy players by adopting a radical new approach to service delivery using technology (like Amazon leveraging its own cloud based e-commerce platform capabilities to beat incumbent Retailers on convenience and price). Yet a challenge to this view is that such disruptors are actually applying a form of “agile innovation”, where through incrementally developing their own live services they gradually transform and re-shape a market – a detailed look at Amazon finds its approach to customer service improvement is not disruptive but iterative; where over the last ten to fifteen years it’s used its own net revenues for R&D activities (not for short-term profit) to continually drive massive grow.

The implication is that a Retailer can exploit the competitive advantages of digital disruption by using an iterative service delivery approach – so what could be the benefits and challenges of this “Retail As A Service” model? Here are some ideas…

OpEx Funded Innovation – A major blocker to Retailers investing in digital transformation is that it can involve significant upfront capital expenditure to deliver a return in investment that is difficult to forecast and realise. Applying an “as a service” approach, an alternative could be to deliver small, incremental improvements using a portion of Retailer’s margin earned during the same financial year. No big financial risks, the Retailer can only invest what it earns from the market with the added benefit that such OpEx funded innovation can rapidly pivot to changing customer demands. Yet any slicing of margin will impact a Retailer’s profitability – its owners or shareholders would need to tolerate a different form of financial risk to make this approach acceptable; reduced, variable short-term profit for potential significant long-term gains.

Zero Physical Asset Operating Model – Could the application of a service-based approach to delivery be extended beyond the traditional areas of IT and back office transformation into other parts of a Retailer’s operating model? For example, a Retailer could run a “zero physical asset” business; where front-end services like stores, supply chain management, even sales staff resources are provisioned on a pay-as-you-go basis. A key benefit would be that the Retailer doesn’t run the risk of owning fixed term assets like property or technology that may become commercially unviable or obsolete. However, this would create new risks – a key one being that the Retailer becomes wholly dependent on other service providers’ availability and ability to innovate to meet its competitive needs.

If you would like more information about how digital transformation can benefit your retail business, leave a reply below or contact me by email.

AI Empowered retail roles: the new competitive advantage?

A Retailer can potentially use Artificial Intelligence (AI) to empower its people to analyse, transact and crucially sell faster and smarter to customers than its competitors. So, what might these jobs look like? Here are some ideas…

“Fixers” – Retailers are always looking to optimise their supply chain costs while improving the customer experience. A key pain point is last mile logistics – the need to offer increasingly timely, flexible delivery of goods to individual customers while maintaining the right economies of scale on distribution to achieve margin. A Fixer – possibly a third-party platform service provider – bids for and delivers instant solutions to solve these daily challenges. Their unique ability to use AI to continually optimise delivery routes and facilitate the sharing of local stock between Retailers (often competitors) to satisfy customer demand 24/7 places them at the heart of the Retail Sector in 2020.

“Instore Experience Trainers” – AI doesn’t innovate by itself; this advantage comes from people teaching or training it to deliver delightful and compelling customer experiences on any channel. An Instore Experience Trainer is someone who spends their working day testing different AI driven experiences from different Sectors and then uses this emotional insight to teach an Artificial Intelligence capability new ways to better engage customers instore – rapid human innovation scaled to differentiate thousands of individual customer interactions with a specific Retailer.

“AI Scanners” – As Artificial Intelligence grows so too does the opportunity for competitors to use it to analyse a Retailer’s offerings for strengths and weaknesses. An AI Scanner is monitoring daily how customers are engaging a Retailer’s Artificial Intelligence to identify such behaviour and its source to enable a proactive response to protect market competitiveness.

If you would like more information about how artificial intelligence can benefit your retail business, leave a reply below or contact me by email.

Intelligent personal assistants: an opportunity for retailers?

Alexa is arguably the tipping point for intelligent personal assistants; with Amazon’s open source approach to sharing its app (“skill”) development capabilities the sky’s the limit for this new, disruptive form of natural language driven customer experience. But what could retailers make of this opportunity? Here are some ideas…

It’s not the hardware but the cloud analytics that matters

Critical to any retailer using an intelligent personal assistant to innovate their brand is that these use cases should primarily focus on the business outcomes from using its cloud analytics capabilities, not the front-end device itself.

A retailer, for example, could use Alexa to provide instore guidance to shoppers to help them find items or make simple queries, physical customer browsing behaviour captured in the cloud that when combined with online experiences enables deeper, more contextual forms of personalisation across all this retailer’s channels.

An opportunity to simplify (and risk of complicating) customer journeys

A unique strength of an intelligent personal assistant is that it has the potential to smartly rationalise customer queries and transactions – an opportunity to turn chatbots into compelling conversational experiences a customer would have a preference for using over engaging a person or using a digital channel.

But there remains a significant user experience design challenge for its natural language driven interface – at what point does the buying journey become too complex for this channel and risks increasing friction for a customer? Any form of customer experience that requires a customer to look at detailed product information or make comparisons between products could be difficult and hard to follow through spoken voice generated content alone.

Alexa’s use of APIs could enable a retailer to combine this channel with its mobile e-commerce site (or in-store tablets) for example to create a seamless, holistic experience where complex information is shared visually driven by a customer’s voice commands and smartly informed by Alexa’s AI.

Bricks and mortar as a truly experiential destination

Perhaps the most exciting thing about Alexa (and intelligent personal assistants in general) is the potential for them to create unique, personalised experiences instore – a direct, deep relationship between a customer and a retailer’s brand. And because its cloud driven this enables interconnectivity (IoT) with other instore technologies such as targeted digital signage, interactive mirrors, social media engagement and mobile point of sale.

If you would like more information about how digital transformation can benefit your retail business, leave a reply below or contact me by email.

Shopping with Artificial Intelligence: The frictionless family customer experience?

With Amazon, Facebook and Google all adopting an open source approach to development of their artificial intelligence (AI) services, what could this innovation mean for a family shopping on the High Street? Here are some ideas…

An end to Saturday morning parking mayhem – having to spend half an hour queuing to get into a shopping centre car park only to find out the only spaces left are on the hundredth floor can be a miserable start (and end) to a Saturday shop for the whole family.

An AI personal assistant could reduce the friction of this inconvenience by reserving a suitable car parking space at the shopping centre in advance, based on the family’s store preferences, accessibility requirements and other factors, like forecast weather. It can then send the reserved space location to the family’s in-car GPS and automatically pay for its ticket. The more an AI can effectively integrate or communicate with other systems the greater the convenience for customers.

No more bored kids looking at their mobiles – the family have spent hours traipsing from store to store failing to be engaged by any of these retail experiences. The kids are just itching to get their phones out to start socialising with their friends, and mum and dad are getting the feeling they are better off buying online.

An AI could transform the friction of this irrelevant customer experience by giving in-store products ‘personality’ –  a product can introduce itself using spoken voice to these customers (via a store branded mobile app for example), talk about its unique selling points and answer potentially any question about its suitability – all personalised using buying and social insights the AI has about the family. The more an AI can effectively apply analytics to create experiential, contextual shopping experiences, the more compelling and delightful bricks and mortar stores become for customers.

Empowered shopping without added wrinkles – So the family have found things they need and discovered lots of things they want, but mum and dad aren’t comfortable with uncontrolled spending across their bulging wallet of bank cards.

An AI could help remove the friction of this uncertainty by acting as a single channel for these customers to manage their disparate bank services in one place, giving on the spot advice about saving and spending to enable the right purchasing decisions and provide a secure, easy to use payment system using customer voice recognition (biometric authentication). The more an AI can create a platform that combines and simplifies a range of complex services; the better mobility customers have on the High Street – experiences that rival anything offered by online retailers.

If you would like more information about how digital transformation can benefit your organisation please contact the Sopra Steria Digital Practice.

 

“More is More”: Why retailers need to get even bigger to succeed in The Digital Age

With Tesco’s recent acquisition of the wholesaler Booker and Sainsbury’s buying the Home Retail Group (parent of Argos) last year, key UK market players are using inorganic growth to rapidly expand their physical retail channels. Yet given the ever-growing threat from digital disruptors like Amazon, and discounters (notably Aldi and Lidl), why would any retailer be looking to increase their bricks and mortar liabilities given this channel could be in long term decline? Here are some ideas…

The IKEA experience – perhaps ironically it is a pre-digital retail format that may offer the right approach to combining the unique strengths of the physical store experience with the choice, availability and (critically) lower prices offered by online channels. IKEA’s gigantic stores across the UK combine a compelling in-store experience where customers can physically explore a range of products with the convenience and price competitiveness of a wholesaler’s warehouse. In comparison, Amazon offers price and choice but it can’t replicate the tactical experience of interacting with a product, nor the instant fulfilment.

Sainsbury’s wants to exploit the supply chain capabilities of Argos – not just in terms of same day fulfilment, but the warehouse capacity its stores carry on the high street – physical retail as an unbeatable customer experience Amazon can’t imitate.

Best of both worlds – Arguably a challenge for both Aldi and Lidl is that their focus on lower prices constrains their ability to innovate their supply chains to deliver personalised, contextual experiences to individual customers. In response, not only can Tesco lever the supply chain capabilities provided by Booker to drive greater efficiencies across its operating model to drive stronger competitive pricing, the additional store capacity it now has available means offering greater customer convenience for its digital offerings (such as hundreds more Click+Collect points across the UK). This will enable Tesco to better blend its digital and physical customer experience together while delivering competitive pricing to rival the discounters.

If you would like more information about how digital transformation can benefit your organisation please contact the Sopra Steria Digital Practice.