Big Data. Big Decisions
InformationWeek
Special Coverage Series


U.K. CIOs Stretch Budgets With Used Equipment

Some UK IT execs embrace pre-owned network equipment in a bid to find more IT budget for new innovation.

Top 10 Tech Fails Of 2012
Top 10 Tech Fails Of 2012
(click image for larger view and for slideshow)
2013 could see a surge in alternative IT spending as CIOs look to make their budgets go further in the light of continued economic difficulties. International network specialist Network Hardware Resale (NHR) claims it has seen a growing interest in extended support for expiring equipment, as well as rising demand for second-hand equipment, as enterprises try to earmark funds for innovation.

"I speak to CIOs daily and, alongside the need to mitigate risk and deliver a consistent and reliable platform, is the need to contain costs and free up budget for strategic initiatives," said Glenn Fassett, international general manager at NHR. "Yet, according to the likes of Gartner and IDC, 70-75% of spending for most companies goes on the operation and maintenance of the existing core network, leaving only 25% for innovation and new-build."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

NHR is an independent reseller of Cisco, Juniper and Foundry Networks equipment, supplying both new and pre-owned equipment. It also provides comprehensive maintenance and support services for products that have been discontinued and are no longer formally supported by the manufacturers.

[ Big data has value that's often not reflected in the books. Read more at What's Your Big Data Worth? ]

In the U.K. over the last decade NHR reports that its revenues from pre-owned network equipment have grown at a compounded rate of 13% a year, buying customers an average discount of 75.6% compared with products' list prices. The firm also purchases unwanted equipment from organizations, releasing capital back into the companies that can be reinvested in more strategic initiatives. Over the last four years NHR has bought up redundant equipment worth a total of $29 million from U.K. companies, according to its own calculations.

"CIOs need to get more for their money at the moment and, by buying the same systems for less, or putting off a forced upgrade program, they can start to balance organizations' dual goals of staying lean and preparing for new growth," Fassett said. "Being more discerning in how they allocate their funds means they can put any savings towards the 25% of budget more usually allocated to innovation."

Market analyst firm Gartner produced a paper last year on the subject of premature network replacement. In it, it noted, "Although the lack of a support contract is an issue for network operations, it does not result in a mandatory requirement to replace the equipment. In some circumstances, it is perfectly fine to get support from a third-party vendor."

When Cisco discontinued support for its popular Catalyst 6509 chassis in November, NHR responded with a maintenance and support package to extend its life for enterprise customers. "This has been one of our most successful propositions among large organizations," Fassett said.

With the Western economic situation showing little sign of imminent improvement in 2013, extending the useful life of stable, core infrastructure, or buying second-hand where the resulting equipment is ultimately the same, is an obvious way of doing more with less -- assuming everything else, such as support and reliability pledges, is equal. In a cost-efficiency context, CIOs must realize that there is more than one way of assessing risk when reviewing their network estates.

Outsourcing lets companies concentrate on their core competencies instead of managing IT infrastructure. Generally speaking, IT security processes tend to be a good fit for the outsourcing model, but organizations must be careful not to paint with too broad of an outsourcing brush. In the Finding The Right Security Outsourcing Balance report, we examine the security services that lend themselves best to the outsourcing model and provide some questions to ask to ensure that your organization’s assets remain safe. (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.