Digital Architect from Sydney. I write about architecture, design thinking & digital transformation.
Some time ago, I wrote What is Digital Architecture Anyway? As a continuation of that article, also as apparently I am not very creative in finding new topics, I would like to focus on Digital Enterprise Architecture this time.
A Digital Enterprise Architecture is crucial, especially for large-size enterprises to stay nimble amid increasing competition. It is no secret that Amazon, or some other digital organisation, but most likely Amazon, will sooner or later will attempt to take over your industry.
Digital EA is essentially a modern approach to Enterprise Architecture, which appreciates the impacts of digital transformation and thrives to keep the organisation ahead of the digital curve.
The previous article stated that Digital Architecture is an architecture discipline applied to Solution Architecture. As would be expected, the same logic applies to Digital EA.
Here are five ideas for establishing Digital Enterprise Architecture.
OK, disrupting might sound a bit ambitious. However, at a minimum, EA should revise architecture principles, policies and standards to enable the adoption of digital best practices and, more critically, emphasise customer centricity.
Principles should not just focus on operational excellence as they would in traditional enterprise architecture. They should instead cherish returning, happy customers.
In the digital age, businesses can only survive if they pay the same or more attention to servicing their existing customers as they do to acquiring new customers.
In a Digital Enterprise Architecture, principles should be simple, practical and concise with a sound understanding of the digital landscape. Principles should emphasise customer and experience focus and inspire re-thinking. As a good example, Digital Principles provides a simple set of principles with digital themes such as Designing with the User and Being Data Driven.
Also, in a Digital Enterprise Architecture, policies and standards appreciate the changes in the architecture patterns. For instance, if there is a policy against data replication, it may conflict in cases where persistent caching on the edge layers is required, or a fully-autonomous microservice is to be created. Keep in mind, even well-regarded museums are updating their principles to adapt to the digital behaviours of today’s consumers.
Key to digital is designing the right and optimum experiences for customers. In order to model such experiences, organisations today use tools like Customer Personas, Customer Lifecycle and Journey Maps. In a Digital EA, creation and re-use of these experience artifacts should be considered a norm. In fact, EA should provide an enterprise portfolio of experience assets where projects and solution can utilise to assure all segments of customers and lifecycle stages are considered.
These enterprise level catalogue of customer personas, lifecycle stages and high-level customer journey maps should then be used to derive other enterprise models where possible.
As an example, a business capabilities map should display critical capabilities that are necessary to implement these journeys and capabilities impacted by different customer personas and their lifecycle stages. This would allow help organisations create capabilities that connect with the customers throughout their lifecycle. Where experience artifacts cannot be directly used to derive other EA models, they should at least be associated. For example, an application catalogue linked to customer journeys would reveal critical applications for customer satisfaction.
Experimentation is an essential capability, especially for large-size enterprises where innovation is not that great. Being able to test ideas before investing massively in them is the only way to keep up with smaller size startups or with large-scale organisations who have the resources and better at innovation. As Jeff Bezos correctly points out, ideas should only become expensive when they work.
Traditionally, Enterprise Architecture has the gate-keeping role in form of policies and standards to maintain a sustainable technology ecosystem. While governance is indispensable to eliminate unnecessary business and security risks, strict policies may stonewall experimentation or let ideas become just too expensive to try.
Instead, a Digital Enterprise Architecture should promote experimentation through flexible governance models. Such models should allow business to test their ideas without having to invest in a fully-ratified solution until the idea proves itself to be profitable.
Thoughtful experimentation and investing in ideas is an essential capability, especially for large organisations, to avoid falling behind the competition. Although first-time-right might sound like a noble Enterprise Architecture outcome, you can’t pick the winners without investing in losers.
Embracing a design-driven, innovation culture is crucial for today’s organisations. Focusing on operational excellence no longer cuts it. Although it is not easy to quantify the value of design, the Design Management Institute’s Design Value Index is a strong indicator to quantify the difference it makes. According to 2015’s Design Value Index, design-centric companies outperformed S&P 500 by 211% on returns over the 10 years between 2005 and 2015.
A design-driven architecture (I know, it sounds like “wood-driven carpentry”) would be the key enabler of a design-centric company. In an article from 2017, Gartner says 40% of enterprise architects will focus on the design-driven architecture where organisations understand the ecosystem and its actors, gaining insight into them and their behaviour and developing and evolving the services they need. In fact, Enterprise Architects, an Australian architecture consultancy re-branded itself as a Business Design firm 15 years after its foundation.
In these circumstances, Enterprise Architecture should promote design thinking within the organisation and in the architecture processes.
It should also encourage, if not instruct, solution architects to spend time with the actual customers and participate in customer/user tests.
Here’s a bonus, inspirational interview conducted by the London Business School with Molly Dobson from Amazon on the culture of innovation.
Well, thank you Captain Obvious! But, seriously, you simply cannot have a Digital Enterprise Architecture if your EA practice, or any of your architecture practices for that matter, is not behaving digital.
EA teams should re-think and re-design their services with the focus on their customers.
Are the organisation users getting the answers or guidance they require easily and timely? Is your Enterprise Architecture relevant, down-to-earth or disconnected? Are your artefacts easy to consume, or does it require architecture knowledge or special tooling? Do people have to chase EAs for critical decisions or are you proactive? Does your EA only speak about a far away future state which is not helping solve today’s problems? Or is it only outdated documentation of the current state? Most critically, are you a gatekeeper or an enabler?
EA should also explore the opportunities to utilise technology to deliver better experiences. An example would be an AI engine running on the architecture repositories allowing users to intuitively query the architecture. Another example would be using big data and machine learning to maintain a current picture of the enterprise systems and the interactions between them.
Acting faster, bolder and smarter at the same time is imperative for today’s businesses and it is exponentially harder for traditional organisations. Enterprise Architecture can have a role in achieving one or all of these goals. A Digital EA does not only focus on being smart and be the brakes when necessary; it is also the engine driving the change and helping the organisation take bolder steps.
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