Ming Fai

EA Heuristic #5: Address the concern of “you are echoing back what I told you”

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(this article is part of the series “12 Heuristics for Enterprise Architecting“)

Stop parroting me! (photo credit: Ferran Pestaña) 

In some ways, the “as-is” phase of enterprise architecting exercises do not generate new content. It brings together observations from different parts of the organization and synthesizes them. Though the synthesis often produce “fresh” insights, these insights might seem obvious to the organization in retrospect, as they are often associated with pains that the organization has been suffering under. In our EA exercise, we received feedback on our “as-is” analysis that ranged from being “spot on” to “echoing back what I told you”, and that seem confusing until we sat down and analyzed the issue.

Learning from this experience, we could have explained to the organization why the EA team was not simply echoing back to them using the earlier mentioned logic. What we did do was to explain to them the EA methodology, and how we relied on it to systematically analyze the organization.

EA Heuristic #4: Collect and analyze data with reusability in mind

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Metal Bottle Cap Flowers (credit: urban woods walker)
(this article is part of the series “12 Heuristics for Enterprise Architecting“)
EA exercises involve collecting a lot of data and distilling insights from them.  It seems wasteful if the fruits of these efforts are used just once and then thrown away.  Instead, when collecting data and doing analysis on them, it is useful to think about how the data and analysis can be re-used.

Specifically, as discussed in Heuristics #2: Guess, Validate, Iterate: Time-bound architectural efforts, the insights are likely to contain some inaccuracies, so expect gradual refinement of the data and analysis.  To do that, how the analysis is derived from the data should be clear.  In addition, involve as much as possible the people who are going to update it in the future.  The more familiar they are with the collected data and analysis, the more likely they will reuse it in the future.

During our EA exercise, we created a chart showing the key products offered by the organization, along with each product’s importance and satisfaction level.  We created a first draft of the chart, then we explained to the organization how we did it, and then they refined it.  We hope that they will reuse this chart, and we are more confident of it since they have already updated it once.  In addition, when we created the summary of our key findings, we tried as much as we can to resist the temptation of listing down gut feels and focus on findings that are backed up by data.

EA Heuristic #4: Collect and analyze data with reusability in mind

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Metal Bottle Cap Flowers (credit: urban woods walker)
(this article is part of the series “12 Heuristics for Enterprise Architecting“)
EA exercises involve collecting a lot of data and distilling insights from them.  It seems wasteful if the fruits of these efforts are used just once and then thrown away.  Instead, when collecting data and doing analysis on them, it is useful to think about how the data and analysis can be re-used.

Specifically, as discussed in Heuristics #2: Guess, Validate, Iterate: Time-bound architectural efforts, the insights are likely to contain some inaccuracies, so expect gradual refinement of the data and analysis.  To do that, how the analysis is derived from the data should be clear.  In addition, involve as much as possible the people who are going to update it in the future.  The more familiar they are with the collected data and analysis, the more likely they will reuse it in the future.

During our EA exercise, we created a chart showing the key products offered by the organization, along with each product’s importance and satisfaction level.  We created a first draft of the chart, then we explained to the organization how we did it, and then they refined it.  We hope that they will reuse this chart, and we are more confident of it since they have already updated it once.  In addition, when we created the summary of our key findings, we tried as much as we can to resist the temptation of listing down gut feels and focus on findings that are backed up by data.

IT mega-trends for Enterprise and Consumers

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photo credit: rAmmoRRisonSaw a presentation by NTT CTO Imran Sayeed on IT mega-trends today that I found interesting.  The list was not surprising, but it is more of thinking about what should be and should not be on the list.  In a…

EA Heuristic #3: Talk to more blind men to know the elephant

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(this article is part of the series “12 Heuristics for Enterprise Architecting“)
Picture of an elephant in a gentleman outfit. Enterprises are like elephants, much bigger than this one, thus a lot harder for any person to get a correct whole picture of.
photo credit: Murilo Morais 
Enterprises are like often like elephants and the enterprises’ employees and stakeholders are like blind men in the classic story; they are each touching a different part of the enterprise and they will each describe the enterprise differently, sometimes in significantly different ways.  As such, though it might seem obvious, it is important to talk to multiple people, and if possible representatives of various stakeholder groups.  Moreover, what EA often reveals is the breakdown in information flow across the enterprise.

In our EA exercise, we got employees of the organization to suggest ideas.  In order to encourage more ideas to be contributed, we make it safe for idea contributors by not tagging names to ideas.  Later, when we evaluated the ideas, we observed that some ideas suggested by one employee was labeled as “we are already doing this” by another employee.  Clearly the initiative in question was seen as an area of improvement in the eyes of the first employee, but seen as completed in the eyes of the second.  This was a good example of different perspectives on the state of the enterprise.