Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Alistair Croll

Alistair Croll



Lean IT: Think Big About Agility

An Immune System, Not A Security Department

(Page 2 of 2)

Humans are part of a greater whole, too. Jonathan Haidt explains in The Righteous Mind that sublimating ourselves into a greater whole has significant evolutionary advantage. "Ecstatic" experiences, such as a religious epiphany, or dancing at a rave, or even rooting for a sports team, provoke specific feelings in our brains that take us out of ourselves and make us feel part of something greater. We stop being self-organized, and start being part of the organism. We function as one, with a collective consciousness.

It's this organism that we're after when we try to improve business. The circus acrobat's agility is their organism. It's their nerves, their muscles, their cardio-pulmonary system, working in concert, adapting instantaneously to changes, continuously learning and iterating.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Organizations don't want a security department -- they want an immune system. They don't want a customer support desk -- we want a reflex action. Organizations regulate, delegate and proceduralize; organisms react, respond and learn.

The reason we haven't reaped the full harvest of clouds, agile, Lean, and DevOps is that we're still looking at these things as organs, when instead we have to sublimate them into the organism. Like the wheels on a tank tread, each wheel can turn on its own -- but only when all the wheels work together does the traction of the vehicle improve dramatically.

We need a name for this. I'm going to call it Lean IT. It's a re-engineering of the supply chain of businesses, from the conception of a product to its delivery. One might argue that this only applies to software products, but I'd disagree:

-- What are Fedex, DHL, or UPS if not cloud logistics?

-- What is mobile CRM if not realtime salesforce automation?

-- What is 3-D printing if not the replacement of inventory with data?

Why Lean is hard for fat companies

Lean IT requires that we understand a broad range of disciplines -- not just Lean, Cloud, DevOps and Agile, but also tools like analytics (to measure and learn) and Continuous Deployment (to provision and deploy.) Lean IT is also a real challenge for traditional IT organizations, which abhor change and value stability.

Wilbur has two important criteria for what makes a holon, which underscore why creating this kind of environment is challenging for such organizations.

-- First, it must be whole unto itself, and simultaneously a part of a greater system, as the heart is to the body. Holons that cannot maintain their wholeness will break up into their constituent parts -- just as a company that can't maintain a holistic Lean IT strategy will retreat into age-old silos of development, QA, and operations.

-- Second, Wilbur says that holons can't form a whole unless the other parts exist, and the conditions are right for them to thrive. Put another way, a heart won't survive unless it's part of an organism that can feed it, shelter it and so on. If you've got an agile initiative, but the organism lacks the other pieces, you won't achieve Lean IT.

Favoring readiness over stability

I'll end with another analogy. When you have a tall tower, it's stable. But it's not in its most stable configuration, which would be one of lying down, the point of lowest potential energy. Traditional IT wants the position of maximum stability (lying down), because that's predictable and reliable. A tower that's standing up seems like a liability, because it can be knocked over.

But that tower has a tremendous amount of potential energy, easily converted to kinetic energy with only a slight push. It can react in a direction with significant force.

Lean IT -- and the much-overused Agility for which it strives -- is a stance an organization needs to adopt. It's one of lower stability, and greater responsiveness. It's one where the organization is able to embrace new things, act in new directions, forget the past. It values the ability to change over the reliability of staying in one place. But to do this, it needs balance and poise.

New organizations are naturally in this position. Without investments in the past, without baggage, they're free to choose and adjust. They don't have processes and procedures, and they don't have the liabilities that come from history.

More than anything, Lean IT is a threat to fat organizations. Only by adopting lean approaches throughout the product, development, deployment and operational aspects of IT will we truly achieve the agility we're after. Only by creating an environment in which Cloud, Agile, Lean and DevOps can thrive will they avoid the traditional silos from which technologies suffer. And only then will those organizations become organisms capable of the adaptivity we want.

« Previous Page | 1 2  


Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.