Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Jonathan Feldman

Jonathan Feldman

Contributing Editor

Why MBAs Hate Google--And You Shouldn't

Does Google really owe enterprises a five-year plan? Google's "big startup" attitude is a win for enterprises seeking agility.

20 Great Ideas To Steal
20 Great Ideas To Steal
(click image for larger view and for slideshow)
The final InformationWeek 500 keynote interview, with Michael Lock, VP, Google Enterprise, and Clay Bavor, head of product management for Google Enterprise, had some closing fireworks. As usual, my colleague Fritz Nelson asked a lot of pointed questions, but I thought that the real theme of the conference--"Throwing out the old IT rule book"--was highlighted by a conflict between traditional MBA-think and Google's lean, agile, or whatever-you-want-to-call-it attitude about building great products.

It started with Michael Lock talking about the enterprise product direction. He quipped, "A lot of MBAs at Google are frustrated because they want the five-year roadmap, and we're just not that way." To be fair, I think he was more or less joking that the way MBAs are trained is pretty inflexible.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

But things heated up when an audience member with an MBA said, "When I'm going to commit hundreds of millions of dollars, I really do want the five-year roadmap." Fair enough, right?

Maybe.

Cue damage control, stage right. Bavor indicated that there's always a vision and guiding principles in place that ensure that Google continues to build great products. Not good enough. Some of the IT leaders in the audience that I spoke to afterwards rolled their eyes and said that this statement was essentially, "Trust us, we're Google. What could go wrong?"

[ Who are this year's InformationWeek 500 award winners? See a ranked list of our 2012 winners, profiles of top IT innovators, and much more. ]

But cue applause: Lock made a great point with me and some other folks that I spoke to afterwards when he said, "We're trying to be careful not to become the product that we're replacing." He meant that a lot of Google's success has been because the company has been nimble and hasn't spent all its efforts devoted to a five-year road map that is essentially one big guessing game anyway.

After all, who really knows what's going to happen five years down the road? Did you ever believe that RIM could have fallen so low in a period of less than 12 months? Nope. So do you really want to devote a huge amount of resources to trying to guess what IT is going to look like in 5 years? I sure don't.

As I mentioned, the theme of the conference was "Throw out the old IT rulebook," and if we IT leaders are really committed to throwing out that old rulebook, we had better be able to at least consider killing some of our sacred cows, like the holy of holies five-year product roadmap. At least one attendee (a self-proclaimed Apple fan, theoretically a sworn enemy of the GOOG) tweeted, "Google's approach though seems wonderfully nimble. I believe."

Over and over during the conference--during our startup session, during Randy Mott's keynote interview--the notion that "you're not going to be able to get next-generation results by sticking with the old-generation vendors and playbooks" kept resonating.

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

Are you still doing the same-old, same-old bridge calls where everyone's either answering email (at best) or playing Solitaire and saying "Huh?" when someone asks a question? Or are you biting the bullet and spending big bucks to fly everyone in so that you can actually look them in the eye and have a real, engaged conversation?

Bavor says that one CEO is using Google hangouts for staff meetings, claiming something like $20K in airfare savings. So my question to the MBAs in the group is: Do you really need a five-year road map for that?

Full disclosure: I am one of those MBA-types (specifically, an MS degree in management from Georgia Tech), but I have kept my eyes open since graduating, and as I've said before, startups--and those who use startup methodologies--have a great deal to teach those who were trained in traditional business methodologies.

I think Google has some work to do to be adopted in the enterprise, but it's not about the five-year roadmap or fashioning Google into a Big Enterprise Software Company. Google has work to do, for sure, but simultaneously, IT leadership has work to do, and lessons to unlearn as well. It's about playing from a new IT rulebook, but it's even bigger than that: there's a new business playbook to be learned. There are lessons about agility, stopping the overplanning (guessing) processes in our organizations, being constantly in beta, and aiming for less perfection. As IT and business leaders, we need to be on board with that if we want to continue to help our organizations succeed.

Couldn't make it to the InformationWeek 500 Conference? Join us for the InformationWeek 500 Virtual Event, featuring the best of the conference plus all-new material. It happens Oct. 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.