Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Bob Evans

Global CIO: The Myth Of The Social-Misfit, Business-Bozo CIO

Piling on to the popular myth that CIOs know tech but nothing else, a new study's flawed conclusions show that the real know-nothings are the researchers.

Here's our latest installment in our week-long "IT's Golden Opportunity" series, in which we take a look at the harmful stereotypes still dogging CIOs.

First the bad news: another so-called "research study" has come out purporting to prove that CIOs are slide-rule dweebs knowing nothing about business, leadership, and strategy. To make the matter much worse, the authors have published a column about their so-called "findings" in the high-profile Wall Street Journal.

The good news is, the "research" and all its pointy-headed findings have all the credibility of Tiger Woods because they are based on assessments carried out across 11 years with about 30 CIOs. Let me repeat: based on interactions with about 30 CIOs across 11 years.

The trick, you see, is that the three researchers from Santa Clara University who brewed up this hokum will defend the CIO-damning headline on their piece—"Why CIOs Are Last Among Equals"—by saying that their work includes "extensive assessments" of "senior administrative capabilities" of more than 600 professionals. But only "some 30" of those 600 were, in fact, CIOs--the rest are "professionals" and no doubt are terrific people but one thing they are certainly not is CIOs.

But that certainly didn't stop the researchers from mischaracterizing their skills and personalities as those of CIOs—as in, "Why CIOs are last among equals" and "Are CIOs doomed to forever be second-class citizens among top executives?"

Yes, about 30 CIOs out of 600 people evaluated. That's about 5% of the sample size, sprinkled daintily across 11 years. That means that these three "experts" on the CIO profession engaged with, on average, one CIO every 134 days spread out across more than a decade. But from such thin gruel they were able to shape a caricature of today's CIO—as we shall see in their own blunt language in just a moment—as clueless on everything from strategy to business to leadership to communication to listening to building relationships to covering LeBron James on a fast break.

To paraphrase Charles Dickens' immortal Bumble the Beadle, "If that is expertise, then expertise is a ass." As we've discussed recently, these days the skewering of CIOs as nitwits in every context except Unix kernels has become popular sport, and it seems these three opportunistic professor-types have decided to pile on in spite of their stunning lack of evidence for doing so.

Global CIO
Global CIOs: A Site Just For You
Visit InformationWeek's Global CIO -- our new online community and information resource for CIOs operating in the global economy.

And—to the researchers' marketing credit, if not to the credit of their research rigor and relevance—their summary article about their findings appeared in the Wall Street Journal, a high-profile media property whose perspectives will surely help shape current perceptions of CIOs and reinforce the canard that CIOs know blade servers inside and out but wouldn't know a customer from a line of custom code.

Worse yet, the researchers took their findings from "assessments" of about 570 "IT professionals" and extrapolated them to the vastly more-demanding realm of the CIO, and in spite of that felt absolutely no compunction about making a wide range of devastating claims about the gross inadequacies of CIOs, including these:

 1 | 2  | Next Page »


Related Reading


More Insights




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.