Enterprise Architects Will Need To …

Like last year, I focus my predictions on how current trends will impact Enterprise Architecture in 2013. I see three things coming: 1. Make sense of big data. Big data will continue to get a lot of press, and vendors will be keen to show off new tricks with data integration. The enterprise architecture teams need Read more

Enterprise Architects Will Need To …

Like last year, I focus my predictions on how current trends will impact Enterprise Architecture in 2013. I see three things coming: 1. Make sense of big data. Big data will continue to get a lot of press, and vendors will be keen to show off new tricks with data integration. The enterprise architecture teams need Read more

Steps To Create a Core Diagram

To be fair, these are steps to create a solid understanding of the architecture of a business, but the deliverable is a core diagram, so that’s the title of the post.  I first wrote about a method for creating core diagrams about a year ago, as I was preparing for a talk on the subject at the Open Group conference in San Francisco.  Now that I’m preparing for another Open Group conference, I find myself filling out some of the details from the previous effort.  Most of the text below is copied from an e-mail that I sent to a fellow business architect who was asking about how to create a core diagram.

The text below describes a five step process

  1. Collect a list of your organization’s business models
  2. Create or leverage a taxonomy of capabilities that reflect differentiation in business processes
  3. Differentiate each capability on the basis of Ross’ operating model taxonomy (level of Information Integration and level of Process standardization)
  4. Make an educated guess about the operating model of the company
  5. Draw the core diagram and build understanding around it

 

Understanding how to create a core diagram starts by collecting a list of the business models that your organization performs. Each business model is unique and different from the other ones. Each will require different capabilities and will often drive variations in those capabilities for the sake of market or product differentiation. You cannot create a core diagram effectively without the list of business models.

So what is in a business model? I’ve blogged about that fairly well. A business model is a composition of elements that describes how and why a value proposition exists, who it is for, and what it drives in terms of internal and external requirements. The diagram is below. (click to enlarge)

Metamodel for a Business Model

Once you have the initial list of business models, you will want to engage with direct business stakeholders. Make sure that they understand the concept of a business model, and what makes a business model unique from other business models (e.g. selling the same product in the same way to the same people in another country is NOT a unique business model, but selling a product in three different ways to three different, potentially overlapping market segments within one country probably represents three business models). Engage. Build relationships. This is your first shot.

Once you have that list fairly well baked, you have step two on your hands: a capability taxonomy that reflects process differentiation. In this case, it is a good idea to start with a high level process taxonomy like the ones made available for free from the APQC. I don’t know if there is one for financial services yet, but there should be. If not, you can start with a general one, but it will take some editing. You want your capability taxonomy to be worded in such a way that it represents “things that could be done” without reflecting the way in which they are done. For example, “customer identity management” is OK, but “customer deduplication” is not, because we want to make sure that customers have an appropriate identity but the organization may not want to remove duplication in order to do that.

This requires some editing of a large list of items in a hierarchy. Excel is OK for this. There may be other tools as well… I haven’t experimented past Excel. This is the second point where it is good to be engaging with business stakeholders. Get their help to describe their business model to you in terms of capabilities, and make sure that all of their capabilities are included in your taxonomy somewhere (usually around the third level down in the tree).

Step three is to differentiate each business capability on the dimensions suggested in the EA As Strategy book. (This can be done at a high level. If your taxonomy has more than 200 business capabilities in it, don’t use the most detailed level(s) of the taxonomy. No one has patience for the details in a core diagram.

Draw out a grid like the one illustrated in the EA As Strategy book, only make it empty.

Diagram illustrating the dimensions of Operating Models with Integration (low and high) on the Y axis, and Standardization (low and high) on the X axis

In each one of the boxes, write in the capabilities that are well understood by a particular business stakeholder, then go to that stakeholder and validate your choices. Make sure that you have placed the correctly for that stakeholder’s particular business models. Note that very few stakeholders will have a valid opinion about capabilities that are NOT part of their particular business model, so don’t show capabilities that they don’t care about.

You will quickly discover that most folks agree on some things and disagree on some things. Where a single capability shows up in multiple businesses, one stakeholder may say that it needs high standardization, while another will say that the capability needs low standardization (== high flexibility). Take note of these disagreements. THEY ARE THE VALUE POINTS FOR BUSINESS ARCHITECTURE.

On everything you can get reasonable agreement on, go ahead and create a master table that has the capabilities differentiated in the manner above. That will probably be about 90-95% of your business capabilities in your taxonomy.

Step four is to make an “educated guess” about the operating model that your organization has. It’s a guess because most organizations are difficult to read and no one person will be able to answer your question about what the company as a whole looks like. Most of the time, you can start with the generalizations that Jeannie Ross made when describing the four operating models in her book “Enterprise Architecture As Strategy.” If there are a large number of capabilities in the “High Integration, High Standardization” box, you can suggest that your organization is a “Centralization” model. If, on the other hand, there are a large number in the “High Integration, Low Standardization” box, you can suggest that the organization is a Coordination model. This is the educated guess part because there is no good formula for making the guess. By this point, you will know a great deal about the organization so your guess is as good as your stakeholders.

Step five is to take a cut at your core diagram… Draw it out and then work with your stakeholders to get common understanding.

For each of the four styles of models, there are different styles of core diagrams. The centralization model tends to break out capabilities by functional area since there is very little (intentional) duplication. So it will be a diagram with a series of functional areas as boxes with the capabilities for each function listed in the boxes. Good idea to put the name of the person accountable for that business function in the title of the box. Lines between the boxes represent flows of information or value between them.

The Replication model is somewhat similar. There will be some functions that are owned by “corporate” while the rest are replicated into EACH of the operating units, so there will be two large “areas” on your diagram. The corporate area will have some functions with capabilities in them, and a single “replicated” area will have the remaining functions with capabilities in them. This is wildly valuable to business planners because they can get agreement among the leaders of each replicated unit about what each one of the is accountable to do and what they MUST depend on the corporate unit to do.

The collaboration model tends to be “hub and spoke” with the hub being the most integrated capabilities and the spokes being unique to each of the business models (or in some cases, small groups of business models that share a lot of capabilities). The lines tend to be information flow, not value flow. The capabilities in the spokes are usually duplicated between the different business units but they (should be) the capabilities that each business unit needs in order to differentiate itself or its products in the marketplace.

The diversification model is the most complex because the “corporate” unit tends to have a small number of core capabilities (often just financial ones) with each of the subsidiaries having a nearly complete and quite independent set of functions with massive duplication of capabilities across them.

I hope this gives you a good start in creating your core diagram.

Paralyzed by Cloud? Keep up planning and supporting your organization!

<p style=”line-height: 18.984848022460938px;”>Day by day, while the hype is fading away a bit, ‘Cloud’ is getting more real. Every day, new Cloud services emerge. Many suppliers of traditional IT-services transform their offerings into services that can be experienced as true Cloud-services: charged on a pay-per-use basis, provided with elastic capacity and configured by means of customer self-service mechanisms. And of course every now and then new Cloud suppliers enter the market with new, sometimes brilliant offerings both in its simplicity and functionality. Like WeTransfer.com, that offers exactly the solution everyone was waiting for: Sending over huge files with a few clicks, getting rid of large e-mail attachments or inconvenient file sharing solutions. The range of Cloud offerings gets more varied every day, making it a phenomenon to stay.</p><div class=”captionImage left” style=”width: 350px;”><div class=”captionImage center” style=”width: 350px;”><img class=”center” src=”http://www.bizzdesign.com/assets/BlogDocuments-2/Cloud-difficulties.jpg” alt=”Cloud difficulties” title=”Cloud difficulties” width=”350″ height=”233″/></div></div><p style=”line-height: 18.984848022460938px;”> </p><p style=”line-height: 18.984848022460938px;”>However, to be able to make good use of Cloud solutions, organizations that use this solutions need to adapt to Cloud. End-users should experience their digital workspace as transparent and consistent, whether its parts are based on Cloud (enabled) services or not. It means, for example, that much thought needs to be spent on how to deal with authentication and authorization in regard to Cloud applications. Isn’t it tedious that you have to log on to WebEx with different credentials than you use for your Box-account, at the same time having a third set of credentials to access your Cloud-based timesheet application? Or think about the need for application messages to be adequately transferred between applications that run at various Cloud providers. Or how differences in Cloud service models can be amalgamated towards end-users. Integration is the key word, and it is far from fixed. Even more because standardization in these areas has taken its first steps, if any.</p><p>It is those difficulties that seem to hold back organizations. Not only regarding the implementation and integration of Cloud solutions. Even necessary and quite basic changes are postponed, thus hindering the development of the organization itself. At this moment in the development of Cloud, it is better to resolve in a traditional way than doing nothing because no feasible Cloud solution is present yet. To be able to be productive in a 21th century organization, employees do need proper digital workspaces and corresponding applications. So, don’t push your organization to Cloud, “no matter what”. Instead, focus on IT-landscape development with a good portion of Cloud integration architecture. Decide which IT-functionality with which quality your organization needs today and asks for tomorrow. Is it possible to find a solution in the Cloud? Good, use it! Isn’t it there yet? Fine, just build it yourself. At least, start thinking about how a distributed IT-landscape will look like, and how to integrate it. Make sure you get into the position to direct the delivery of Cloud services. The key to this is focusing on functionality and quality required. Because when you know that, it is easier to plan realization. Whether you immerse yourself in Cloud or prefer/need to provide IT in the traditional way a little longer. At least that will keep you moving forward, isn’t that what really counts?</p>

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Lies, Damn Lies, and Traceability

In my last post, Traceability 101, I talked about the essential role traceability plays in the success of a project. By writing business requirements, functional requirements, and then drawing traces between them you can create a traceability matrix that reveals 1) business requirements that are not covered by functional requirements, and 2) out-of-scope functional requirements […]

Quick Strategy Assessments and Scoping with Business Capability Wheels

The Business Capability Alignment Wheel is a quick and effective means to scope and describe what is needed within an enterprise to achieve strategic direction. Once the strategic direction is articulated, and  the key  business results or success measures that contribute to achievement of the strategic direction are defined, you are ready to use the Strategic

The post Quick Strategy Assessments and Scoping with Business Capability Wheels appeared first on Louise A Harris on Enterprise Business Architecture.

Link Collection — December 16, 2012

  • Jon Kamen: STEM to STEAM: Art Is Key to Building a Strong Economy

    Makes sense. How is STEM visualized/appreciated? Via design principles, graphics and such.

    “Artists and designers bring STEM to life: As we all know, STEM is so important — but on its own, sadly it’s not working. Despite all of the resources being invested in it, the word is exactly what’s wrong with the concept. It doesn’t inspire, energize or engage the youth whom it is ultimately intended to benefit; hence our nation is falling desperately behind.”

    tags: STEAM STEM

  • The New MakerBot Replicator Might Just Change Your World | Wired Design | Wired.com

    Good article on 3-D printing and MakerBot’s quest to bring 3-D printing/printers to the masses.

    “But nothing MakerBot has ever built looks like the new printer these workers are currently constructing. The Replicator 2 isn’t a kit; it doesn’t require a weekend of wrestling with software that makes Linux look easy. Instead, it’s driven by a simple desktop application, and it will allow you to turn CAD files into physical things as easily as printing a photo.”

    tags: 3dprinting makerbot wired

  • A robot that can help your grandma (or you) avoid the nursing home — Tech News and Analysis

    Good to know: “Two major trends could open the door to robotic care givers that help senior citizens stay in their homes longer. First, robots are getting more people friendly. And second: people are getting more robot friendly.”

    tags: robot nursing

  • 7 tips to safely kill zombie projects | ZDNet

    Michael shared this during a conversation we were having on zombie projects. We’ve all seen ’em…

    “Walking-dead IT projects, also known as zombies, should be killed off — putting these suckers out of their misery is the right thing to do. Of course, various techniques exist to repair failing projects, such as restart methodologies and live-goat sacrifice, which was pioneered by Nepal Airlines. Nonetheless, there are times when the zombies must die.”

    tags: zombie projects mkrigsman

  • Amazon Web Services launches Redshift, datawarehousing as a service | ZDNet

    Amazon Web Services will launch data warehousing as a service in a move to cut hardware, software and administration costs. AWS is now previewing Amazon Redshift, a datawarehousing service.

    tags: amazon aws datawarehouse

  • Walmart’s Evolution From Big Box Giant To E-Commerce Innovator | Fast Company

    Good example of digital strategy, role of CTO, and technology-driven innovation.

    “…The next thing King knew, Walmart arranged for him to join a videoconference with CEO Mike Duke. “It was the strangest thing,” King says. “Mike’s office in Bentonville is the original one that Sam Walton had, complete with 1970s wood paneling. I was looking at this video, thinking, Where is this place?”

    Over the next 45 minutes, though, Duke made what King calls an irresistible pitch. After years of seeing his company lag online, Duke swore that digital was now a priority for Walmart. Duke had restructured the company, placing e-commerce on equal footing with Walmart’s other, much larger divisions. He had made serious investments in high-tech talent, acquiring several startups. One, a 65-person social media firm called Kosmix with expertise in search and analytics, was the impetus for Walmart rechristening its Valley operations “@WalmartLabs.” Duke was looking for people who would revive the company’s sites and services, and energize its entire culture. He hoped to turn a company famous for rigid, coldly effective business processes into one that’s flexible, experimental, and entrepreneurial. In other words, Duke wanted to inject a bit of Silicon Valley into Bentonville, Arkansas.”

    tags: walmart innovation digital

  • Want to Build Resilience? Kill the Complexity – Andrew Zolli – Harvard Business Review

    “We rightfully add safety systems to things like planes and oil rigs, and hedge the bets of major banks, in an effort to encourage them to run safely yet ever-more efficiently. Each of these safety features, however, also increases the complexity of the whole. Add enough of them, and soon these otherwise beneficial features become potential sources of risk themselves, as the number of possible interactions — both anticipated and unanticipated — between various components becomes incomprehensibly large.

    This, in turn, amplifies uncertainty when things go wrong, making crises harder to correct: Is that flashing alert signaling a genuine emergency? Is it a false alarm? Or is it the result of some complex interaction nobody has ever seen before? Imagine facing a dozen such alerts simultaneously, and having to decide what’s true and false about all of them at the same time. Imagine further that, if you choose incorrectly, you will push the system into an unrecoverable catastrophe. Now, give yourself just a few seconds to make the right choice. How much should you be blamed if you make the wrong one?

    CalTech system scientist John Doyle has coined a term for such systems: he calls them Robust-Yet-Fragile — and one of their hallmark features is that they are good at dealing with anticipated threats, but terrible at dealing with unanticipated ones. As the complexity of these systems grow, both the sources and severity of possible disruptions increases, even as the size required for potential ‘triggering events’ decreases — it can take only a tiny event, at the wrong place or at the wrong time, to spark a calamity.”

    tags: Complexity systems Resilience hbr

  • Is Technology Making You More (or Less) of a Jerk? – Michael Schrage – Harvard Business Review

    Love this: “mean time to meddling”… “Instant access and cloud has compressed the “mean time to meddling” to milliseconds for micromanagers.”

    “Every manager needs to review their last 100 network communications — text, email, SharePoint, LinkedIn, etc. — and ask themselves: What’s the mix between messages that might be interpreted as management, micromanagement and mentoring? Am I giving in to temptations that will corrode trust? Or am I using these technologies in a way that brings out my better managerial self?”

    tags: technology management schrage hbr

  • Big Data, Complex Systems and Quantum Mechanics – The CIO Report – WSJ

    The world, and the data within, is messy. Good piece by Irving Wladawsky-Berger:

    “In discipline after discipline, we are beginning to learn how to deal with the very messy world of big data and complex systems, and how to best apply our learning to make good decisions and good predictions. One of the hardest parts of that learning is the need to let go of our preconceived notions of scientific determinism and get used to living in a world of probabilities, uncertainties and subjective realities.”

    No WSJ account? Cross-posted to his blog: http://blog.irvingwb.com/blog/2012/12/big-data-complex-systems-and-quantum-mechanics.html

    tags: complex systems data quantum wsj irvingwb

Posted from Diigo. The rest of my favorite links are here.

★ D2a5839c8e4de, Bob left a message for you

Bob left a message for you See this email in English, Deutsch, Français, Italiano, Español, Português or 35 other languages. Bob left a message for you Only you can see the sender and content of your message, and you can…

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Top Ten Global Proficiency Challenges Impeding Growth

There are a few macro arguments for nurturing and mentoring global diversity skills at all levels of leadership and operations management in a corporation. Yet, it does not make immediate sense, lighting up an urgent need on the radar screen. … Continue reading