2 minute read
The layers of digital transformations
by d2emerge
Technology is a tool, not a strategy When a company undergoes a digital transformation, they are embedding technologies across their businesses to drive fundamental change, often resulting in increased efficiency and greater agility
No longer is the goal of digital transformation to become digitally native, but instead to drive real, tangible value for the business
The pace of change in the digital world is dizzying, and it’s easy to get caught up rubbernecking the competition to spot the latest trends
At its most basic, digital transformation is a combination of two things digitization, and optimization Digitization has been around for a while, and just means digitizing information or making data available in a digital format. Optimization
( a l s o r e f e r r e d t o a s “ d i g i t a l i z a t i o n ” ) i s m o r e process-focused, and involves using those digital technologies to operate systems more efficiently.
Tech talk
Real change occurs by listening, not talking Oftentimes, CIOs, CDOs and CTOs get swept up in the excitement of a transformation and simply pass down edicts that the company is “going digital” without first determining the strategy or creating KPIs that can properly measure impact The result? Conflicting plans, varying timelines, and splintered focus (And a lot of wasted time and money )
Instead, a digital transformation needs to start by defining business goals and expectations across the leadership team and aligning those goals and expectations with department heads to ensure their vision matches reality From there, rather than attempt to change an entire organization at once, it’s best to view a digital transformation in layers what are the areas of importance, how do they stack up against each other, and how can you condense operational needs across departments?
Imagine you ’ re the CIO of a large consumer brand with ~50K employees across 40+ departments offering hundreds of products to millions of end-customers. Your technology ecosystem would be a mess of legacy mainframes, aging document storage systems, disparate processes, overloaded IT teams, off-the-shelf systems with low user adop- tion, and an unstable suite of customer-facing digital channels How do you encapsulate all of this onto a whiteboard and create a digital transformation roadmap?
This is where layers factor in Trying to find tactical solutions to each of these individual issues would lead to silos, multiple bespoke systems, and fragmented processes By grouping common issues into layers though, you’ll develop a much more manageable, strategic framework
Layers and phases
There are six layers to any digital transformation, each condensing key focus areas:
Data: How do you store and retrieve data securely? How do you scale? How do you ensure data integrity and avoid redundancy/duplication?
Application: How do you apply data to run your day-to-day business operations? How do you democratize data access by providing a centralized abstraction and distribution layer?
Process: How do you streamline your business processes?
Experience: How do your internal (employees) and external customers interact with the processes and systems? (UI/UX)
Collaboration: How do cross-functional teams collaborate more effectively to get work done faster?
Intelligence: How do you derive insights from data and apply intelligence into the work that you do?
Each layer must go through its own distinct phases of digitization and optimization to result in a successful (and holistic) transformation How a c o m p a n y d e f i n e s t h e i r o w n t r a n s f o r m a t i o n depends on multiple factors unique to the organization, including budget, available resources, and the capacity for innovation over time This is what makes true transformation a never-ending journey, the same way customer satisfaction is a never-ending pursuit
Playing the long game
Those looking to embark on their own digital transformation should be prepared for the realities of working without a finish line. It’s a process of continuous learning, but one that will ultimately create a more cohesive, efficient, and modern operation. z