“Digital Beyond the Transformation” is about bringing digital to the core of processes, people, and products, so that enterprises evolve into change agents, fully equipped to keep pace with emerging technologies and the disruptions that may ensue.
In the early years of digital transformation, value shifted significantly from the infrastructure to the application layer with the rise of mobile, front-end experiences becoming all the rage, and the back-end moving to the API economy. The infrastructure layers were considered a “commodity” after the wave of commoditization of hardware and the lower levels of software that ran on it.
However, a dramatic shift happened with the rise of two entirely new waves of infrastructure modernization:
- the public cloud and complete reimagining of core back-end middleware
- the surge of shared memory and isolated application infrastructure with containers
Couple these with the third wave of DevOps, and now you have infrastructure that is CODE.
This shift has required digital enterprises to master new skills pertaining to cloud engineering. This also led to an unprecedented increase in the pace of digital disruption, subsequently driving enterprises in various industries to embrace digital transformation. These are the identified five specific technological capabilities and business best practices which are foundations for making Digital Beyond the Transformation a reality:
1. Cloud and Microservices transformation
Cloud and Microservices have moved from geeksville to boardroom conversation as enterprises across a wide range of industries—from Finserve to CPG and retail to hospitality—are learning of the myriad benefits that these technologies have to offer. The cloud has evolved into the beating heart of the digital ecosystem, as enterprises are increasingly turning to a cloud-focused business approach to innovate their offerings, scale their business, and satisfy customers.
91% of enterprises will move their core business operations to a Cloud-first environment by 2019
The cloud reduces capital expenditure on IT infrastructure, on-premise resources, and software licenses. It allows for infinite scalability and delivers the speed and agility for new capabilities to better cater to changing customer demands.
Microservices, on the other hand, enable enterprises to adopt a decentralized approach to software development, wherein each service can be deployed, rebuilt, and managed independently without compromising the integrity of the application. They provide immense scalability and support a wide range of devices and platforms such as mobile, wearables, and the Internet of Things.
APIs are the foundation of digital experiences. APIs play a critical role in driving digital business transformation by enabling enterprises to go to market faster. A business strategy based on APIs and Microservices architectural frameworks—coupled with cloud infrastructure—gives businesses the ability to facilitate innovation and move at the accelerated speed of digital.
An API framework removes the complexities of underlying systems through the use of a Microservices architecture. The results are seamless and scalable functions acting as separate services and then connecting through a middleware API layer versus many point-to-point connections.
2. Global digital platforms
A global digital platform operates seamlessly across the globe, with customer experience being the center of the universe and technology complexity very much present but hidden from the customer. Despite the differences in the laws, regulations, services offered, and payment methods across different countries, a global platform is capable of working flawlessly to deliver relevant, timely, and convenient consumer experiences.
For instance, the world’s largest beauty leader needed a feasible, cost-effective, and scalable approach for launching and managing hundreds of marketing websites across different countries worldwide. Hiring multiple agencies and deploying localized websites on different platforms was not a sustainable approach from an operations and financial standpoint. The company, therefore, worked with a Vendor to create a singular global platform app—which serves as a framework for localizing master websites and set up a central team to manage and support master sites and each localization.
All integrations were done at the global platform app level and, therefore, the cost and effort required to deploy the localized versions of the master site were reduced significantly. The company used the larger portion of its budget to build a master site for their primary market. For the local markets only localiztion costs are billed on the build, and then the run cost of any integration are incurred as the setup cost was already covered on the master site. Therefore, with a centralized team to build and support the sites and the sharing of IT resources, the company was empowered to scale, catering to diverse customers across the world while realizing significant cost savings and continuity in brand expansion.
3. Organizational structure for the digitally transformed enterprise
Enterprises are making incessant efforts to figure out the right digital operating model. However, it takes time as well as experience to perfect an operating model at scale. Merely throwing together buzzwords—like MVP, POD, Squad, Tribe, Agile, Sprint, and Stand Up—does not ensure value in terms of digital transformation. And agile does not mean no discipline. On the contrary, teams must plan, stage gate, and measure plan to performance.
As for digital initiatives, it’s good to start small. Show what “good” looks like before scaling or investing further time and capital in the idea. Further, it is a good practice to measure time to value in 12-week blocks.
By integrating digital at the core of process, people, and products, enterprises can evolve into nimble organizations and facilitate digital innovation.
Creating an organizational structure for digital transformation requires high organizational change, a cultural shift as big as the tech shift. Change management and leadership buy-in often pose challenges in terms of restructuring an organization; however, the return on investment is massive. The efficiency of a well-oiled digital operating model is significantly greater than any traditional model out there.
4. Disruptive technologies for digital innovation
The digital space is witnessing an exciting time with growing innovations around disruptive technologies such as artificial intelligence, Machine Learning, Big Data, virtual or augmented reality, and blockchain. These technologies have been providing tangible proof of their value but are still in the early stages of their lifecycle with a potential for generating astronomical value in the long term.
Smart organizations are moving to an AI-first world wherein businesses are using tools like chatbots to take their customer experience and engagement to the next level.
For instance, if a Fortune 100 insurance company wanted to accelerate its digital journey through innovation to engage prospects and customers across new emerging channels. A vendor helped the company build their innovation roadmap and implemented an integration across chatbots, natural language processing, and voice-enabled platforms to enable customer service in the users’ channel of choice, including:
- Intelligent assistants (voice-enabled product search) to help navigate the app and give the most suitable product recommendations
- Amazon Echo integration allows customers to make use of the self-service capabilities, through voice, and effectively use Alexa skills to enable simple insurance service offerings like “Make a Claim,” or “Pay my Bill” concepts
- Utilization of chatbots for product marketing, increasing customer interaction, and improving overall conversions of new product launches
Cloud and open source have made the adoption of disruptive technologies easier and faster than ever. However, we recommend first defining the business problem that you are trying to solve. Then assess whether or not the problem can be solved by traditional computational methods. If not, the problem could be a great use case to apply an AI/Machine Learning or a Big Data stack.
- By 2022, at least 40% of new application development projects will have artificial intelligence co-developers on the team
- By 2022, more than 50% of all people collaborating in Industry 4.0 ecosystems will use virtual assistants or intelligent agents to interact more naturally with their surroundings and with people
5. Design thinking for the future of the connected consumer
In today’s hyper-connected, consumer-driven world, enterprises are increasingly realizing the true value and potential of design thinking.
Below are the main principles of design thinking:
- Empathize: Understand the path of the customer
- Analyze: Identify friction and pain points
- Ideate: Brainstorm solutions and look for cross-industry inspiration
- Prototype: Prioritize ideas and bring definition to the solution
In our view, there are two salient parts of mastering design thinking. The first is empathy—designing your product, features, and processes with the customer in mind. Even though it seems simple, this is a non-trivial task. In our experience, the change in the mindset of putting yourself in the shoes of the customer and then re-envisioning a product is the central pivot to getting it right. We believe that the design thinking mindset will evolve to encompass not only the product design process but an organizational design methodology as well.
The second is the number of channels across which brand experiences are to be designed. The channels may be right from wearables to connected devices or personal computing to VR experiences. The blurring of the lines between physical and virtual is not a vision anymore, it is already a reality today.
Plus 1: How to avoid being “Amazoned”
As Amazon continues its pursuit of aggressively disrupting a wide range of industries—including eCommerce, IT, logistics, entertainment/media, and consumer electronics—the threat of getting “Amazoned” is real indeed. Or is it?
A digital-first business strategy entails:
- Creating frictionless customer experiences across touchpoints
- Enhancing mobile experience with personalized services
- Implementing a fully integrated digital user experience framework
- Enabling cloud migration towards achieving greater agility
- Providing infrastructure support
- Undertaking application development or offering application support (managed services)
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