Big Data. Big Decisions
InformationWeek
Special Coverage Series


3 Reasons SMB Virtualization Projects Fail

Virtualization is a top priority for SMBs, yet problems like budget overruns are causing heartache. Here's advice on how to avoid common pitfalls.

8 Cloud Tools For Road Warriors
8 Cloud Tools For Road Warriors
(click image for larger view and for slideshow)
Virtualization ranks among the top IT priorities for the majority of small and midsize businesses (SMBs), according to new Techaisle data, but those projects often come with some pain.

Seventy-two percent of SMBs included in the research listed virtualization as relevant to their business, second only to backup and disaster recovery in appeal. Yet more than half (56%) said virtualization is one of the toughest technologies for them to understand, ranking ahead of business intelligence, big data, data centers and mobility in complexity.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The good news: 60% of SMBs declared their virtualization projects a success, and just 2% labeled them a complete failure. But the other 38% that said their virtualization deployments were a partial success. That begs a question: How many times have you earned a promotion or raise by marching into the boss's office bragging about your partial successes? "I sort of did an OK job!" doesn't often put you on the fast track to the C suite.

[ Does your "internal cloud" need a helping hand? Read 3 Ways The Cloud Can Complement Virtualization. ]

Virtualization projects, of both desktops and servers, tend to fail for several common reasons, Techaisle analyst Anurag Agrawal told InformationWeek in an email interview. "Inadequate planning, ill-defined objectives … and inexperienced staffing" are among the problems, he said. Cost overruns are another headache.

Fortunately, the quagmires can be avoided with some forward thinking. Watch out for the following three problem areas and you'll be on your way to a successful project.

1. Budget Overruns.

Rarely do over-budget projects get the "100% success" stamp of approval. SMBs are particularly susceptible here: "Managing budgets is hard to do for an SMB as priorities constantly shift from capital investment to operating expenditures," Agrawal said. Unexpected costs ranked as the top post-implementation problem for SMBs.

Virtualization can deliver real bottom-line returns on investment, but don't let anyone tell you virtualization is cheap. Take time to fully understand the up-front and ongoing costs before launching a project, and don't go in with a wishy-washy budget.

"The major challenge was the cost, because the initial hardware investment was huge," said the VP of IT at one midsize company included in the Techaisle survey. "Getting rid of the system and moving to the cloud and installing virtual servers required purchasing physical storage and upgrading the system."

2. Lack Of Virtualization Experience.

There's some technical complexity involved with virtualization. If you don't have the in-house know-how, figure out whom you can enlist to help. The two likely places to look: outside IT providers, sometimes known as channel partners, and the virtualization vendors themselves. Agrawal pointed out that each has -- or should have -- a significant stake in your success. If it doesn't, you need a new partner or vendor. "It is in the interest of the partner and the virtualization vendor to ensure that project becomes successful," Agrawal said. "This is because for a segment that is growing fast, positive referrals and experiences are always helpful."

3. Lack Of Planning.

IT projects that don't have clear goals are begging to fail. Virtualization is no exception. Planning -- a pleasure for some, a pain for others -- is key, not just in meeting the ultimate goals but also in minimizing the headaches during deployment.

A clear-cut example: Compatibility issues with current hardware and applications ranked as the top issue SMBs encounter during virtualization implementations; one in five respondents said that was a problem. Therefore it's important to perform compatibility checks prior to beginning a virtualization project, Agrawal said.

In the end, though, Agrawal and others noted that the potential upside of virtualization is often worth the associated risks, especially if you're mindful of the pitfalls. Said one IT exec in the Techaisle research: "It certainly has helped us to avail richer network services without increasing our capital investment and has increased our operational efficiency. Moreover, computing and networking are much simplified now."

Also of note in the Techaisle research: It's common for SMBs to use a mix of virtualization vendors rather than standardize on a single platform. For example, one in three SMBs that use VMware for server virtualization use a different vendor -- usually Citrix or Microsoft -- for client virtualization. One IT exec included in Techaisle's survey said his midmarket firm uses VMware, Citrix, Microsoft and Ericom for emulation.

One reason for the mixed-vendor approach is that many SMBs deploy virtualization in phases, perhaps starting with a server consolidation and later rolling out in other areas, said Agrawal. Another reason, perhaps related, is budget. "Microsoft is the culprit here, [because it] allows its partners to give away its virtualization solutions that are built into its Windows Server," Agrawal said. "Once SMBs start to realize the benefits of the solution they add other areas from other vendors."

Attend Interop Las Vegas, May 6-10, and attend the most thorough training on Apple Deployment at the NEW Mac & iOS IT Conference. Use Priority Code DIPR02 by March 2 to save up to $500 off the price of Conference Passes. Join us in Las Vegas for access to 125+ workshops and conference classes, 350+ exhibiting companies, and the latest technology. Register for Interop today!



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.