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.
Moving EA into a position of strategic importance involves making the case that enterprise architecture provides value, and that the business stakeholder can directly and immediately benefit from that value. Understanding the services EA provides, and the value proposition for each one, is a requirement for making that argument.
The authors examine the interdisciplinary theory of complex adaptive systems (CAS) and how this theory can be useful in digital transformation. They define nine properties of CAS theory, such as a constant state of flux. For each property, they describe the challenges and opportunities for digital transformation. Finally, they present CAS-based practices that enable change management.
It pays to really assess your current marketplace situation and learn from disruptors in your own or adjacent marketplaces. Enterprise architecture (EA) is an asset that you can use to counter the threat of disruptors. The three generically applicable scenarios we introduce in this Advisor may help you choose the right pattern for your EA, depending on the business model of the disruptor, your choice of counter-strategy, and your current EA maturity.
The notion of architecting for flexibility so that enterprises can change is not new. But what about disruptive change? And why does disruptive change matter? Why now?
The dynamic nature of the business capability architecture (BCA) aptly lends itself to modeling the new paradigm of big data analysis.
Here are the Business & Enterprise Architecture articles that garnered the most feedback from Cutter Members and clients in 2017. Look for these lists from each of our four practice areas, and rediscover Cutter's most intriguing articles of the year!
A Service Dominant Architecture operationalizes concepts from service science in an architectural blueprint for the implementation of a service platform. Within two-speed IT, a service platform can be implemented on top of a legacy infrastructure, adding important complementary capabilities to legacy IT.
Data science is essential in extracting value from big data but it is not sufficient. It makes use of technical, management, and business analysis skills. Data science also deals with the enterprise architecture (EA) of the organization. Astute leadership is essential and an imperative for value extraction from big data.