Building the Enterprise Architecture Habit

Habitudes, one of my favorite books talking about leadership habits and attitudes(This is the fourth part of a five part series on “Five Hurdles in Implementing EA”)I was at a conference last year and one presentation showcased wonderful Enterprise Arc…

Building the Enterprise Architecture Habit

Habitudes, one of my favorite books talking about leadership habits and attitudes(This is the fourth part of a five part series on “Five Hurdles in Implementing EA”)I was at a conference last year and one presentation showcased wonderful Enterprise Arc…

8 Rules for Big Data – Active Information

My latest active information post:

While researching big data innovation at Walmart, via its @WalmartLabs start-up, I stumbled upon Andreas Weigend’s 8 Rules for Big Data…

via 8 Rules for Big Data – Input Output.
Related posts:

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  2. Active Information Writing
  3. Recent Active Information Writing: Crash-proof code, data lessons & infographics

This Is Generation Flux: Meet The Pioneers Of The New (And Chaotic) Frontier Of Business | Fast Company

“In a big company, you never feel you’re fast enough.” Beth Comstock, the chief marketing officer of GE, is talking to me by phone from the Rosewood Hotel in Menlo Park, California, where she’s visiting entrepreneurs in Silicon Valley. She gets a charge out of the Valley, but her trips also remind her how perilous the business climate is right now. “Business-model innovation is constant in this economy,” she says. “You start with a vision of a platform. For a while, you think there’s a line of sight, and then it’s gone. There’s suddenly a new angle.”

Within GE, she says, “our traditional teams are too slow. We’re not innovating fast enough. We need to systematize change.”

“The business community focuses on managing uncertainty,” says Dev Patnaik, cofounder and CEO of strategy firm Jump Associates, which has advised GE, Target, and PepsiCo, among others. “That’s actually a bit of a canard.” The true challenge lies elsewhere, he explains: “In an increasingly turbulent and interconnected world, ambiguity is rising to unprecedented levels. That’s something our current systems can’t handle.

“There’s a difference between the kind of problems that companies, institutions, and governments are able to solve and the ones that they need to solve,” Patnaik continues. “Most big organizations are good at solving clear but complicated problems. They’re absolutely horrible at solving ambiguous problems–when you don’t know what you don’t know. Faced with ambiguity, their gears grind to a halt.

“Uncertainty is when you’ve defined the variable but don’t know its value. Like when you roll a die and you don’t know if it will be a 1, 2, 3, 4, 5, or 6. But ambiguity is when you’re not even sure what the variables are. You don’t know how many dice are even being rolled or how many sides they have or which dice actually count for anything.” Businesses that focus on uncertainty, says Patnaik, “actually delude themselves into thinking that they have a handle on things. Ah, ambiguity; it can be such a bitch.”

“Technology forces disruption, and not all of the change will be good. Optimists look to all the excitement. Pessimists look to all that gets lost. They’re both right. How you react depends on what you have to gain versus what you have to lose.”

Yet while pessimists may be emotionally calmed by their fretting, it will not aid them practically. The pragmatic course is not to hide from the change, but to approach it head-on. Thurston offers this vision: “Imagine a future where people are resistant to stasis, where they’re used to speed. A world that slows down if there are fewer options–that’s old thinking and frustrating. Stimulus becomes the new normal.”

via This Is Generation Flux: Meet The Pioneers Of The New (And Chaotic) Frontier Of Business | Fast Company.

Whiteboard Culture: An Organizational Competitive Advantage?

Guest post by Sachal Lakhavani Does your organization have a whiteboard culture?  When faced with complex problems or collaborating with people with different perspectives, do the people in your organization draw to communicate in a dynamic and visual way, or do they rely solely on verbal explanations and static Powerpoint slides? I recently attended a panel at SXSW that was instructively entitled “Shut up and Draw.” The panelists, Dan Roam, Sunni Brown and Jessica Hagy, […]

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Enterprise OODA

#OODA #orgintelligence In response to @Griff0Jones, I promised to beef up the coverage of OODA in my book on Organizational Intelligence (draft now available via LeanPub). I should welcome any comments and suggestions on the following, as well as point…

Enterprise OODA

#OODA #orgintelligence In response to @Griff0Jones, I promised to beef up the coverage of OODA in my book on Organizational Intelligence (draft now available via LeanPub). I should welcome any comments and suggestions on the following, as well as pointers to any practical examples.


The choices we make at the personal level are influenced by our experiences and our environment. We are not always fully aware of these influences, and may need someone else to point them out to us. The same is true of the strategic and operational choices made by organizations.

In a rapidly changing environment, we need a feedback loop that continuously aligns our behaviour to these changes. This is an important aspect of agility. And in a competitive situation, competitive success depends on our being more agile than our competitors – in other words, having a faster and more accurate loop.

A good model for this is the OODA (Observe, Orient, Decide, Act) loop created by John Boyd. Some people confuse this with the PDCA (Plan, Do, Check, Act) loop popularized by Shewhart and Deming. However, the key difference between PDCA and OODA is the explicit inclusion of sense-making, which Boyd calls Orientation. Boyd himself produced a second model, IOHAI, which is largely an expansion on the sense-making area.

In order for the OODA loop to produce real agility, there needs to be agility in each of its parts.

Agile Observation
. One criticism that has been levelled at simplified versions of the OODA loop (for example Benson and Rotkoff) is the tendency for what you observe to be narrowed to just those things that seem to help with decision making. (David Murphy describes this tendency as “inevitable”.)

Simon Thornington raises a related issue in a comment to David Murphy’s blog. “So much of what is observed is via instrumentation (or alternatively the output of models). Without the observer having prior knowledge of the construction and assumptions of the models, he or she cannot orient effectively based on the observations.” Simon suggests that this was a factor in the recent Airbus crash, various space program mishaps and throughout finance.

But Boyd understood these points perfectly well, as do those who use OODA properly. In his reply to Benson and Rotkoff, David Lyle acknowledges this tendency. “Studies by cognitive neuroscientists have demonstrated that as a basic human trait, we are stressed more by uncertainty than unpleasant certainties. But in our efforts to achieve parsimony and the false cognitive ease often associated with it, we sometimes cut out too much detail and end up building expensive empires on theoretical foundations of sand.” (via Cameron Shaefer)

Agile Orientation. David Murphy points out that “really big risks are often not acted upon because we are oriented so that we cannot decide”, and reminds us what happened to those people who tried to act against the firm’s orientation at MF Global, or Enron or HBOS.

Discussing strategic planning through the OODA lens, Henrik Mårtensson points out the importance of orientation. “If we only know one strategic paradigm, and choose a strategic method from within the range of options provided by the paradigm, we loose (sic) the ability to improve beyond what the paradigm allows. … Boyd believed it is absolutely necessary to be able to switch paradigms at will.”

Agile Decision, Agile Action. Henrik argues that “operating with a crippled OODA loop and a strategic model that separates strategy and action may not kill you, but the faster the environment changes, the more hampered your organization will be by its own strategic model”. Henrik recommends William Dettmer’s Strategic Navigation, which in his opinion combines the principles of Maneuver Warfare with the analysis and planning tools of The Logical Thinking Process. “The result is fast high quality strategic planning, and seamless integration between planning and execution.”

The limitations of the OODA model appear when there is too much emphasis on speed (especially response speed) and not enough appreciation of complexity. For example, in I’ve Got the OODA Blues, Adam Elkis argues as follows.


“Taking the OODA Loop literally can be misleading for cyber defenders because a “faster, faster” model implies that speed of response is the most crucial aspect of network defense. There’s a lot more to it than that. Alex Olesker’s post on Dronegate, for example, is really about a failure of Orientation and an overemphasis on speed of action. The Air Force claimed that it detected the virus instantly and isolated it, in effect placing a premium on the ability of automated processes to improve their ability to instantly observe, orient, decide, and act to contain a virus. This is a response rooted in the “faster, faster” OODA Loop interpretation.”

and Adam concludes

“strategic learning within the organization enables, upon the next cycle, a better ability to Observe, a sounder Orientation, and a corresponding ability to make sounder decisions under fire. This response, however, is not something that can be automated–it depends on organizational policy decisions made by CIOs as well as the soundness of network defense systems and processes.”


Sources and further reading

Kevin Benson and Steven Rotoff, Goodbye OODA Loop (Armed Forces Journal, October 2011)
David Lyle, Perspectives: Looped Back In (Armed Forces Journal, December 2012)

Blogs by Sean Lawson, Henrik Mårtensson, David Murphy, Chet Richards, and Spartan Cops.

An architecture of enterprise-culture

[A collection of notes that I made somewhen around May 2010 that I don’t seem to have published before, and seem to be relevant now as I explore my own business-model. (Not an April-Fool joke, by the way. ) ] A culture [enterprise-culture] is a set of prioritised values and goals – usually ill-expressed, conflicting, a muddled-mixtures […]