In a recent article by McKinsey, they eloquently argued the importance of enterprise architecture for digital transformations. But they also provide some important criticism of the state of practice. To be really effective at supporting digital transformations, many enterprise architecture practices need to change their behavior.
In a previous blog on the ‘Digital Customer Intimacy’ strategy of our example insurance company ArchiSurance, we outlined that they intend to use more detailed customer data to improve customer interaction and satisfaction, and to determine customized insurance premiums. To this end, they want to use the Internet of Things, acquiring data from smart, connected devices such as personal fitness trackers, black boxes in vehicles, home automation gateways, fleet management systems, in-store RFID devices, or smart building sensors.
As we have seen in the previous blog, ArchiSurance wants to establish several new capabilities to support its ‘Digital Customer Intimacy’ strategy, such as Digital Customer Management, Data-Driven Insurance, Data Acquisition, and Data Analysis. Positioning these in the context of its current capabilities leads to the following figure, using the ‘highlight’ function of Enterprise Studio to emphasize these new elements. Read more
In our previous blog, we briefly outlined the two strategic options that our example insurance company ArchiSurance is exploring. By analyzing the operational excellence strategy, they have benchmarked their efficiency against the industry average: average capabilities are shown in blue, above-average capabilities in green and below-average capabilities in red (Figure 1). Read more
In our previous blog, we outlined the relationship between business strategy and capabilities at a high level. But we have not given you any guidance yet as to how to create a good overview of your capabilities. In this blog we look at why identifying capabilities is important for organizations, how they can be defined, how to classify them, and how to include them in a capability map.
On June 14, The Open Group launched the new version of the ArchiMate modeling language for enterprise architecture at the Enterprise Architecture Conference 2016 in London. This is a new step in the development of a standard that started in Netherlands, but in the meantime has received broad international acceptance.
Agility has become a key ability of enterprises. The pace at which customers require changes, at which new laws and regulations affect services and introduce processes, and the ease with which competitors can disrupt your business, as Google and Apple do nowadays, leads to tremendous pressure. Pressure to change rapidly, to adopt new technologies, to generate growth, to scale up or to reduce cost. Read more
Have you heard the good news?
In theory, an ArchiMate® model can be created using just pen and pen, or a whiteboard and markers. There are also software platforms that provide an ArchiMate modeling environment, which come with many automated capabilities and analysis functions.
However in this post, we will focus on an important element in maturing into an advanced, mission critical modeling capability: the model repository.
In many organizations a mythical creature lays deep down in the catacombs, otherwise known as the server rooms. This dark monster has an obsessive-compulsive disorder. Normally these creatures are in search of gold. However, this kind doesn’t fancy gold, this one hoards applications!
Strategy execution remains a challenging task for many organizations. The ‘Digital Enterprise’ requires major business transformations, delivered at speed. Most organizations are in a constant state of change. The ‘unfreeze-change-freeze’ model, reasoning from the current to a desired future state, no longer applies; the current state is always in flux and the future state is a moving target. Read more
As outlined in another blog, architecture-based enterprise portfolio management plays a crucial role in an integrated business transformation approach. Portfolio management is responsible for allocating investments to various asset categories and for creating a healthy project and program portfolio mix that realizes the organizational goals. There should be a balance in, for example, the types of projects (development, research, etc.) and long-term and short-term projects.
The other day, while I was musing about the reasons why many large organizations see many of their IT initiatives fail or underachieve, I came up with a rather simple conclusion: ‘project thinking’ is the root cause of these disappointments. Let me explain. Read more
“Many stakeholders consider their organization as unique.” Depending on the level of abstraction you take as viewpoint, you can argue this statement is either right or wrong. It is interesting from an enterprise architecture perspective to understand why stakeholders stress this uniqueness and what are the benefits of understanding where the organization really is different from others. Read more
Imagine you wake up one day and suddenly there is a completely new technology available that outperforms your product or service in every way, and you didn’t see it coming. Sounds scary, right? Well, this is a reality for many companies. Take for example, navigation devices for your car. Garmin and TomTom were the major players dominating this market for several years, selling their products for hundreds of dollars each. However, that was before Google introduced Google Maps for mobile devices. As a result, Garmin’s and TomTom’s market values dropped dramatically, 85% in only 18 months.
Sharing knowledge and good practices is one of the core values of BiZZdesign. We regularly organize and contribute to online and offline seminars, conferences and round tables. We recently had a very successful seminar on Enterprise Architecture in Dutch healthcare. After presentations on “Dilemma’s for Architects”, based on the relation between physical and digital architecture in healthcare and “Data Management”, we had a debate to discuss associated topics further with our attendees. Please share your good and worst practices by reacting to this blog.
Earlier this week, a large Dutch insurance company got itself into the national headlines after mixing up sensitive customer data. By mistake, over 2,500 participants in a large-scale medical research received an e-mail with information that was intended for other participants.
“In creating and handling the data, we made a mistake. This way we accidentally coupled the wrong information to the e-mail addresses of the research participants”. According to the insurance company, this was a “human error’’, and not an error in the organization’s system, which was tested extensively. Read more