Whole-Brained Business Analysis – New Metaphor Required


I’ve been guilty using the much debated ‘Left vs Right brain’ metaphor to explain what I believe is needed. By way of example, Alec Sharp (@alecsharp), Sally Bean  (@Cybersal), Roy Grubb  (@roygrubb) and I have been Tweeting about Concept Modeling vs Concept Mapping. Alec is keen to get Data Modelers to abstract their thinking up from physical Data Models by thinking conceptually and I have been encouraging Business Analysts to think similarly when gathering requirements. This has meant that we both find that we need to introduce a different mindset: one that encourages more creative & inclusive discussion atthe initial   discovery and play-back stage of the Requirements-Solution Design journey. I expect the Agile/XP community will declare this to be their philosophy (and nothing new) and they’re probably right. But rather than get caught-up in ‘IT-centric’ methods, I’d rather think of it as a way to better understand any requirements for change – regardless of the Software Development Life-Cycle. I’d rather see such thinking applied to all aspects of business change – people, process, practice, policy and … technology.


Tried-and-tested analytical techniques should not be abandoned, they just need to be augmented with others that, in my experience, help expand ideas and produce resilient, coherent and business-value-creating solutions.  Both side of the equation are equally important. However, I’m finding (through experiment) that the more creative techniques are more engaging – simply more fun and inclusive – and, this alone, can, in my recent experience, dramatically improve business outcomes. 

In attempts to explain the need for a more ‘whole-brained’ approach, I’ve been following the lead of the ‘Design Thinking’ community in referring to both Theory X and Theory Y from MIT Sloan and the Left-brain Right-brain metaphor. This, however, is fraught with problems due, in large part to the findings of the University of Utah who debunk such binary thinking (as I was reminded by Rob England – @theitskeptic).

So I’m in a quandary: on the one hand I find that an X-Y, Left-Right, metaphor is a simple way to convey the difference between, say, Analysis vs. Synthesis, on the other hand, however, I run the risk of aligning with outdated concepts being fundamental reconsidered by neuroscientists. 

I guess the Complexity Science community might say that I’m talking about the difference between ‘Complex Adaptive’  vs. ‘Complicated’ systems, but, again, academic debate makes coming up with a simple metaphor next to impossible.

Has anyone found an alternative metaphor for a more balanced approach to Business Analysis and Enterprise Architecture?

Importantly, I’m keen to avoid the impression that people are to be seen as fundamentally one way or another. My observation is that it is the practice of Business Analysis/Enterprise Architecture that needs to be more ‘Whole-brained’ – not the individuals per se.

To get the discussion rolling, I’d like to hear views on:
  • A good Business Analyst or Enterprise Architecture must be a balance of Left-X(Reliability – Doing-things-Right) and Right-Y (Validity – Doing-the-right-thing)
  • We’ve spent to much time of methods that attempt to industrialise EA (the TOGAF 9.0 manual runs to around 800 pages in the attempt) and BAs are too often focused on methods focus on an ‘IT solution’ rather that the Whys and Whats of the current or desired business behavior
  • We need to spend more time on developing pattern-based storytelling skills in BAs and EAs to deliver break-through changes and allow for innovation in TO-BE models.
  • Economic churn and environmental challenges warrant more Y-minded thinking (with appropriate X-controls)
  • The world can’t be fully explained or governed algorithmically (thank god!)– not while values and trust dominate the way organisations function.


 

Putting data to good use

Travel by train is great, especially in the Netherlands. We have one of the best train systems in the world in terms of density and comfort (with a bit of a hard time when the leaves start falling, or when we have serious snow). Of course there are a …

Categories Uncategorized

What is a method?

(Americans often refer to a method with the term “methodology”, which is not entirely correct semantically, as it would mean “the science of methods”) Examples of methods are ORM, RUP, and one could argue Scrum or agile approaches like DAD. Inspired by the book by Ian Graham et.al. The OPEN Process Specification, I share the […]

What Comes First: The Data or the Tool?

bg outline

By: Ben Geller, VP Marketing, Troux

right tool 030414 4 blog 030514A traditional approach to Enterprise Architecture might suggest spending a significant amount of time (in some cases this could last as long as a year) gathering data from different parts of the business in the hope of building a holistic view of how the business looks today. Once you are sitting on this mass of data you may then consider EA tools to help you make sense of it all. To some people this seems a logical sequence– we’ll do the heavy data lifting on our end then call in the analytics guys to tell us what it all means. In reality this approach will often lead to wasted effort and set back the timetable for delivering value. As we discussed in a recent post, Bigger Doesn’t Always Mean Better when it comes to data. With the right EA tool in place, organizations better understand the data that is actually needed to yield business benefits, dramatically increasing success rates and significantly reducing time to value.  

Why the data first approach is flawed

This approach typically involves time wasted on gathering data that is not necessary or will not deliver significant value. Once the data has been collected organizations often invest additional time and effort verifying data quality, but that can become a daunting task as well if the amount of data is too great and the quality of the necessary data is compromised. In addition data needs to be governed otherwise it goes stale rapidly. If organizations are working with more data than they need, they end up spending even more time and effort governing data that isn’t useful. 

Successful data maintenance is federated, involving busy people who need to understand why they should spend time on this vital task.  Modern EA solutions come with governance tools and processes built-in, and knowledgeable tools vendors typically bundle in best practice guidance to help get data in good shape.  The do-it-yourself approach, without adequate guidance and tool support is very often the long, slow, hard and potentially unsuccessful route.

For these reasons start with the end in mind, find a tool that helps guide you to the desired outcome, and let it define what data is necessary.

Architect a better business in a different way

Start by identifying the key questions that need to be answered to help the organization better operate, compete, and grow. You will be pleasantly surprised – it’s not as many as you might think. Organizations have discovered that as few as 150 questions may be enough to understand the enterprise sufficiently in order to figure out how to change it.  Mature EA vendors will have incorporated the most common questions into their tools, questions such as: What new business capabilities need to be created? Is the business investing in the right places? Do our strategies support our goals? The tool will provide decision-making insights in the form of visualizations.  Also, don’t underestimate the power of the visualization to drive the data quality process: a CIO of a major European Telco told us “I’m interested in your tool because it will point my guys in the direction of what data to collect, and I believe lighting up your reports will drive the data quality process quicker than any other method”.  Spot on, sir!

Everyone is looking for a better way to achieve their business objectives. But in this instance doing the heavy lifting that comes along with collecting massive amounts of data may not be worth the effort. In fact, it’s better to start small. Get the most out of your EA initiative by focusing on what matters most to business. This will determine what questions need to be answered.  The right tool can guide you through what data is needed and deliver results – quickly.

Download the Troux Mind Map to see how Troux solutions help businesses better understand what data is really needed and enable decision-makers to see results – quickly.

 



New Call\u002Dto\u002DAction

Categories Uncategorized

A Tribute to Jack Rockart

Jeanne Ross delivered the following tribute to Jack Rockart at a memorial service on March 1. Jack Rockart, co-founder of MIT CISR and its director from 1974–2000, passed away on February 3, 2014. I’m Jeanne Ross, the current director of the Center for Information Systems Research, also known as CISR, at MIT’s Sloan School of […]

Two SCAN notes – 2: Causal Layered Analysis

Regular readers of this blog will know I refer quite often to one of the core techniques in futures-studies, Sohail Inayatullah’s Causal Layered Analysis (CLA). But as of a couple of weeks ago, you won’t find any reference to it on

Accrediting the Global Supply Chain: A Conversation with O-TTPS Recognized Assessors Fiona Pattinson and Erin Connor

By The Open Group  At the recent San Francisco 2014 conference, The Open Group Trusted Technology Forum (OTTF) announced the launch of the Open Trusted Technology Provider™ Standard (O-TTPS) Accreditation Program. The program is one the first accreditation programs worldwide … Continue reading

Issue Resolution – Celebrate Your Success

This blog is the third in a series of posts designed to help technical leads get over the hurdles that inevitably pop up during any complex implementation; a series that was started by Understanding the Problem and continued in Determining a Solution. With the course set and the implementation of the recommended solution underway, it’s […]

Four Skills for the 21st Century Leader

A couple of weeks ago, Accelare collaborated with Penn State and Gartner Research to produce a 3 ½ day executive education workshop entitled “Enterprise Transformation and Integration: Beyond IT/Business Alignment”. One of most interesting presentations was by Al Vicere, Executive Education Professor of Strategic Leadership for The Smeal College of Business on the 21st century […]