In my recent blog post on stakeholder communication, I described various basic forms of communication about architecture, with diagrams, tables, heatmaps and the like. What I did not touch upon in that post is how you can enrich your architecture (and other) models with additional data and display the results in various dashboards. That is the topic of this post.
BiZZdesign Enterprise Studio
Enterprise architecture is often perceived as an abstract, conceptual, and somewhat esoteric discipline practiced by ‘high priests’ who provide guidance with their lofty ‘architecture principles.’ It’s true that architects are often concerned with overarching, cross-cutting concerns that are not always visible to the people ‘in the trenches,’ but this view of enterprise architecture is misguided at best and increasingly misses the mark.
-Fabian Aulkemeier & Marc Lankhorst
In our previous blog post, we outlined why Enterprise Architecture and Agile/DevOps are key in becoming an adaptive enterprise. We also described several use cases where EA can strengthen Agile and DevOps practices. Now, we want to focus on the ways in which you can connect these in practice, using architecture models and appropriate tool support.
Marc Lankhorst, Fabian Aulkemeier
Enterprise architecture, agile software development, and DevOps are sometimes seen as being at odds. We think they can fruitfully collaborate and interface, but how do you do that? How can you align the concepts and processes from these worlds and bridge the cultural gap?
Previously, I have blogged about stakeholder management and showed you some useful techniques to support this important part of enterprise architecture. In this blog post, I want to address different ways to share architecture information with different types of stakeholders involved in changing your enterprise.
Artificial Intelligence (AI) seems to be a buzzword lately, promising techniques and tools that could influence our lives, our work and the way we do business. For many designers and enterprise architects, the question becomes: What would be the role of designers on all levels (strategic, EA, BPM, data, technical) in incorporating AI in a company? There are even ethical questions that may arise when instituting AI in a company, which you must take into account before making the change.
In my recent blog series, I highlighted the importance of communication for strategic transformations. This affects several functions and various roles in your organization by asking different questions, such as:
Everyone remotely involved with enterprise architecture and similar disciplines knows the importance of knowing your stakeholders. Stakeholder management is a key technique in EA and many methods, including TOGAF, stress its importance. But there is more to management than keeping individual stakeholders happy. In this blog post, I want to introduce three techniques that not only help you ensure stakeholder satisfaction, but also make good use of stakeholders and their influence in achieving business goals.
The architectures of large organizations can become quite large and complicated, posing a challenge for the architects developing and maintaining them. In previous discussions, we have addressed a number of techniques for organizing and controlling such large models to keep things manageable. In this installment, we look at the processes and practices you can use to optimize the collaboration between the people working on these architectures.
In the first blog of this series, I explained how important it is to raise your digital change capability to become an adaptive enterprise. I also highlighted the role of effective communication, as well as approaches to categorize and visualize enterprise architecture descriptions based on the TOGAF and ArchiMate standards. In this series, I also included guidance on which approach to select for modeling Architecture and Solution Building Blocks (both are types of logical or physical components). To round out this series, I will end by discussing the connection to Deployed Solutions.
In the previous installment of this architecture organization series, I wrote about organizing your model repository according to business, information and technology domains. I also explained the need to create separate current- and future-state models, and the separation between and model content and views. In this part of the series, I have a few more things to add on the topic of naming and modeling conventions, as well as advice on how to set up governance and quality assurance structure around your models.
Previously, I have written about the use of a modeling language and the practical usage of the TOGAF Enterprise Continuum to classify architectural descriptions along different levels of abstraction. In this blog, I’m going to demonstrate how the content of these descriptions can be visualized with a standard notation. While TOGAF 9.1 provides the standard architecture development method (ADM), ArchiMate is the worldwide standard to model and visualize the content of enterprise architectures. Both are a public standard of The Open Group.
If you have some experience in modeling real-life, full-size architectures for large-scale organizations – preferably in the ArchiMate language, of course – you have likely come across the challenge of organizing your models in logical and manageable ways. In this two-part series, we’re going to share our top 6 ways to organize your architecture models. These six methods should help you keep your models neat and tidy while also supporting better outcomes for your strategic initiatives.
Cybersecurity threats are ever increasing. It is sometimes said there are two kinds of organizations: those who know they have been breached, and those who don’t know it yet. To mitigate the risk and damage associated with cybersecurity, it’s important to know how to assess these risks and improve your defenses via security-by-design. It’s also important to plan for what to do if (and when) things do go sideways.
In modern enterprises, change is no longer a simple, top-down affair. All levels of the organization need to be involved, and everyone from shop-floor employees to the CEO need to work on local improvements to business processes. Lean projects and agile product development teams must rapidly innovate digital environments, strategists need to invent and experiment with new business models, project and program portfolio managers have to decide on investment allocations, and those responsible for domains like risk management and regulatory compliance have to do their part. This “all hands on deck” approach requires enterprise-wide transparency and visibility of plans, structures, opportunities and constraints.
In my previous blog post, I described how Enterprise Studio supports the Business Model Canvas, Ecosystem maps, Balanced Scorecards including SWOT, PESTEL and Five Forces analysis, and heatmaps to highlight salient information for your organization. Now, I want to focus on more advanced views and analyses that help you evaluate the viability of your strategy and business models and then take steps towards their implementation.
The effective use of digital technologies is paramount in a competitive environment. To succeed, you don’t need a separate digital strategy; you need a business strategy for the digital age. But digital transformation is difficult to manage because it requires you to change many moving parts of your enterprise, much like redesigning and rebuilding an airplane while in flight.