Guidance in Delivering Value through Architecture
You can create and deploy business and enterprise architectures that improve organizational understanding, increase business opportunities, support agility, and deliver value. Cutter’s Architecture team delivers continuous insights based on their hands-on experience assisting organizations worldwide.
Most organizations do not begin creating and leveraging business architecture until they have reached a certain size and start to encounter challenges such as poor customer experience, complexity within the business and technology environment, or ineffective strategy execution. However, if organizations instead employed business architecture from the very beginning — even in a very lightweight manner — they could likely avoid these challenges as they scale.
As has been our tradition over the past few years, we have gathered a group of Cutter Consortium experts to weigh in on the strategies, technologies, and business models that will impact business transformation efforts in 2019. We hope the articles in this issue of Cutter Business Technology Journal help you prioritize your business technology objectives and chart your journey forward in today’s digitally competitive world.
As we begin a new year and the world accelerates and shifts around us, it is important to take an honest look at where we are with enterprise architecture (EA) today and where we are — or should be — going.
Combining the fundamentally different paradigms of Agile architecture and architectural agility can prove to reinforce one another. In a real-world case study from the consumer sector, this Advisor describes one company’s experience combining Agile and EA.
When people speak of capability assessments, they are referring to capturing and maintaining various metrics about the capabilities in their capability map, which can then be assessed to identify improvement opportunities and make such decisions as where to invest. Capturing these attributes provides a more complete view of each capability, beyond mere definitional information, making capabilities much more useful in practice. Organizations can use capability assessment information in a variety of proactive or reactive scenarios.
We have learned that the cloud has enabled a shadow IT to emerge. That sounds scary (mostly to the IT people), right? But we have also learned that shadow IT is not totally a bad thing, as long as there is communication, coordination, architecture, and governance. We discuss this shadow IT more specifically in this Advisor.
For almost 20 years, cloud and related technologies have been transforming entire industries. Interestingly, most of the discussions around transformation tend to focus on the technical aspects, technical solutions, platforms, and various as-a-service offerings. Although the technology perspective is very important, it’s not the most critical. Truly transformational projects require a much broader perspective. In this Advisor, we explore the impact of cloud-enabled transformation on product lifecycle, processes, and organizational culture.
The increasing importance of a coherent organizational strategy to maximize the exploitation of data for growing a digital business is clear. There is a need to locate, consolidate, classify, and access the necessary data — often data of many different formats stored in different areas of the enterprise as well as external data — to drive many different aspects of a successful digital business. To achieve these types of capabilities in an efficient and scalable manner, the digital business needs to be able to identify, extract, transform, contextualize, and distribute the necessary data. The data warehouse or data lake is a critical part of this data ecosystem, and many different aspects of the digital business can exploit this resource in a consistent way by means of a shared metadata framework.