Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Jonathan Feldman

Jonathan Feldman

Contributing Editor

Ditch Your Dominant Vendors? Time May Be Right

Cloud, commodity hardware, and mobile have changed the rules. Blindly sticking with today's winners is like ignoring the wind change in a yacht race.

CIOs often need to make high-stakes decisions regarding a vendor's financial and product sustainability. Those of us who've lived through Novell, Banyan, and early short-lived ERP providers know what I mean. Vendors that go belly up or discontinue key product lines will cost you significant disruption and expense, so it's critical that IT leaders regularly evaluate their vendors' health and modify how much they rely on them.

But this kind of due diligence shouldn't just be applied to the smallest, most vulnerable vendors. It's the big suppliers that present the biggest risk to organizations, because they tend to represent the largest portion of the budget. Dominant suppliers--IBM, Microsoft, and Cisco in their heydays--play upon this "nobody ever got fired for..." quasi-dependence. They also cater to customer devotees, those loyal to Websphere, .Net, and Catalyst switch lines, for instance.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Here's the problem. The cloud and mobility and commoditized hardware are changing the face of enterprise IT. Blindly sticking with dominant suppliers while their era of dominance is winding down is like ignoring the wind change in a yacht race. Those who adjust can succeed; those who don't, can't.

Prescription? Don't be afraid to diversify during a time when most of your staff still thinks the dominant supplier will be dominant forever. That kind of change can be hard, because staffers will naturally resist. They've spend considerable time and energy getting everything working just so and have finally operationalized the innovation that brought the supplier to the table in the first place. While they've been operationalizing, however, the market keeps changing. Meantime, staffers keep hoping that whatever appears to be replacing what they've worked so hard on turns out to be just a fad.

Remember the days before more rigorous change management, when maintenance windows were more loosey goosey? Technologists would be infinitely patient with whatever upgrade they were doing, instead of backing it out when things weren't going well. "Let me just try one more time. It'll work this time." The maintenance window would stretch out, and all of a sudden you were in unplanned outage land.

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.

So go ahead and vigorously diversify, even though your staff won't like it. You could try out new suppliers with low-risk, low-impact projects, but your staff won't be challenged to succeed with a new supplier until you throw down a mandate to use that supplier with a critical project. Yes, one where failure isn't an option. Staffers will be freaked out enough about failing that they'll give the supplier a fair chance, as opposed to taking the easy way out on a low-impact, failure-is-an-option project.

Just because you decide to discontinue using a product that you think doesn't offer your organization the agility you need--as one of my customers in my consulting days did with Lotus Notes--doesn't mean you won't continue to use that supplier in other areas. IBM, in particular, has shown a tremendous ability to reinvent itself over its 100 years, and its recent Smarter Cities initiative is proof that it can skate to where the puck is going.

Suppliers don't rise to dominance overnight, and they don't decline overnight either. Pay attention to the winds of change, and adjust your sails accordingly.

Jonathan Feldman is a contributing editor for InformationWeek and director of IT services for a rapidly growing city in North Carolina. Write to him at jf@feldman.org or at @_jfeldman.

The Optimized Enterprise, a unique virtual event, will feature presentations and discussions on the key topics related to creating a more competitive and efficient financial services organization. It happens June 23. Register now.



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.