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.
It is difficult to think “outside the box” when you don’t realize that you are inside a box. This is what happens when enterprises get seduced into romanticizing abstract ideas such as “architecture” or “agility.” It is important to steel oneself to the allure of these siren calls and stay focused on what is of value to the business.
Here in Part III of this three-part Executive Update series, we investigate current techniques and best practices for managing IT project portfolios and strive to create a solid bridge between corporate strategy and IT investments. ITPM is one of the critical tools available to an EA practice to better ensure IT alignment with business strategy.
Aspects of planning, implementing, and operating a big data platform affect the traditional enterprise viewpoints of business, technology, information, and infrastructure. Managing the change within one of these viewpoints may be difficult, but due to the technical and business reach of big data technology, ensuring that these changes are cohesive across viewpoints and can be successfully delivered within the organization is even more challenging.
Organizational transformations come in many forms, including divestures, joint ventures, taking a business public or private, and general market reorientations. In this Advisor, we explain enterprise architecture (EA) in relation to one type of strategic transformation: acquisitions. Acquisitions are one way that businesses seeking to digitize use to accelerate the journey to their destination and, in our experience, to specifically complement their innovation-management pipeline.
Most enterprise architects have heard of the Zachman Framework. Indeed, many know that John Zachman first developed his eponymous framework in the 1980s and are familiar with its iconic graphic. Still, it truly astonishes me that some architects know very little about Zachman, or his framework. Upon doing my research for this Executive Update, I was amazed to learn that there really isn’t a good summary of the contributions that Zachman’s work has made to enterprise architecture (EA).
So … here is my attempt to record the importance of the Zachman Framework.
Capabilities are the main link between business architecture and IT architecture in general, and digital transformation in particular. Not all capabilities can be automated, but as a rule, the greater the level of capability automation, the greater the degree of efficiency, effectiveness, and digitization.
Business design looks at the enterprise from an outside-in perspective. Business design starts with examining the value customers receive through their interactions with the enterprise and how the products and services meet tangible and emotional needs. A key benefit that business design brings to an organization over traditional EA is the focus that it places on value, and more importantly, on the value proposition that the products and services of the enterprise have for customers and clients.
The nature and complexities of crises in the financial market is gradually increasing, posing significant challenges, especially for large multinational banks, in managing risks and negotiating through a crisis successfully. Moreover, financial institutions must comply with strict regulations around risk management laid down by global financial regulators. Architects must harness various new technologies, such as big data, to help them build a next-generation architecture that complies with their enterprise’s business, IT, and external regulator needs. This Executive Update draws from my experience in developing, implementing, and governing the enterprise architecture for risk management for a large British multinational bank by leveraging big data technology.