Big Data. Big Decisions
InformationWeek
Special Coverage Series


The DISH On Virtual Desktop Cost Savings

The largest seller of DISH Network's TV service uses virtual machines to support hyper-growth and cut its help desk burden and power bill.

12 Brawny Business Intelligence Products For SMBs
Slideshow: 12 Brawny Business Intelligence Products For SMBs
(click image for larger view and forslideshow)
As small and midsize businesses assess whether virtualization is the right move, they'd be smart to ask: Am I just following a trend or fulfilling legitimate business needs?

In other words, dig past the conventional wisdom on potential benefits to consider how it can--or can't--deliver quantifiable improvements to an organization. Take Infinity Sales Group, the largest independent dealer of DISH Network's satellite television service. Chuck Matulik, who recently joined Infinity as vice president of IT, outlined during an interview three key challenges the company faces from an infrastructure standpoint.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

First, exponential growth: Infinity has gone from 80 employees in 2009 to 460 today. That's nearly a six-fold increase in people--and the technology they need to get their jobs done--in just two years. The second challenge relates to the first: limited IT resources that did not grow in concert with the business.

"The company had two dedicated desktop people who basically spent all day running around taking care of PC issues," Matulik said. "As [Infinity was] growing, they were like: Man, we don't want to do it like this going forward."

The third challenge is somewhat particular to Infinity's operations: the power bill. It can be huge at a call center, as in some other technology-intensive businesses.

Faced with the need to support rapid growth while keeping costs in check--a challenge that's no stranger to many SMBs--Infinity made the call to switch all of its employees, from the executive suite to the greenest phone rep, from traditional to virtual desktops. It deployed Pano Logic's zero clients along with VMware.

Matulik said that, in spite of the exponential growth in employees, desktop support now takes the equivalent of half a full-time employee's time to support 460 employees; that's down from two whole full-time staffers supporting 80 people a couple of years ago. For the math fans: That's a 75% drop in support time on the heels of a 575% increase in desks.

"That allowed us to keep the IT staff extremely thin," Matulik said. "We spend very little time doing desktop support."

Asked about the current makeup of his team, Matulik sounded almost sheepish: "Do I really have to tell you?" he said. It's a staff of three, plus Matulik. "How many 400-plus companies do you know of that have an entire IT staff of four people?"

By comparison, Matulik's previous employer was also a midsize call center: Its 600-some employees included an IT team of 40 people. Matulik credits virtualization as a critical factor enabling Infinity to run lean without sacrificing IT quality. In fact, one employee who'd previously done nothing but desktop support has evolved into the company's VMware expert, taking on more of systems administrator role in the process.

"He is completely redirected in a direction that is probably better for him, and better for the company as well," Matulik said.

On the power front, Pano's zero-client approach--which stresses minimal energy consumption--and Infinity's use of IP-based phones has kept the electric bill from spiraling out of control.

"We use very little power for a call center," Matulik said. He added that Infinity's power bill is smaller than that of his previous firm, primarily because of VDI. "Even if we were to double in size, our power consumption would be a fraction of what they would use."

Matulik didn't offer up specific numbers, but said power-related expenses are a key in quantifying the return on Infinity's VDI investment--which he noted was considerable. Matulik believes companies that don't dig deep enough when doing ROI analysis are more likely to stick with their traditional infrastructure because they leave money on the table.

"VDI is not free. It is a cost savings, but there is an investment that you have to make," he said. "There is an ROI that comes--it can come in terms of support, it can come in terms of power--but a lot of IT people don't work with facilities to calculate those savings."

InformationWeek Analytics has published a report on backing up VM disk files and building a resilient infrastructure that can tolerate hardware and software failures. After all, what's the point of constructing a virtualized infrastructure without a plan to keep systems up and running in case of a glitch--or outright disaster? Download the report now. (Free registration required.)



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.