Big Data. Big Decisions
InformationWeek
Special Coverage Series


Mac Discrimination: Bad For The Enterprise

Companies should stop discouraging their employees from using Macs and adopt policies that promote technology choice, finds Forrester report.

Building The Mac Office
(click image for larger view)
Slideshow: Building The Mac Office
About 22% of enterprises see a rising number of employees bringing their Macs to work, despite the fact that almost twice as many companies block Macs from accessing corporate IT resources.

What's behind this growing rebellion? Forrester analyst David Johnson argues in a report published last week that those who insist on Macs at work aren't villains out to overthrow the Windows orthodoxy. Rather, he says, they're HEROes--highly empowered and resourceful operatives--a group composed of the 17% of information workers who take it on themselves to find ways to be more productive and serve customers more effectively.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"Most of the Macs today are being freewheeled into the office by executives, top sales reps, and other workaholics," Johnson wrote, in an effort to distinguish today's Mac user from the somehow suspect "Think Different" subculture that stuck by their Macs in the dark ages of the '90s.

And who could be farther from the counterculture stereotype than the well-heeled worker? Forrester sees "a strong correlation between higher corporate average salaries and the number of Macs purchased by employees and brought to the office." That may because the MacBook Air is, by Forrester's measure, nearly twice the price of a typical corporate PC. However, math of this sort doesn't account for support costs, replacement cycles, or productivity.

[The return of Macs to corporate environments owes a lot to the success of Apple's iPhone and iPad. Read iPad Still Dominates Android In Enterprises.]

Forrester considers those sneaking Macs into work to be part of a group it defines as power laptop users, who make 44% more money, use more collaboration apps, and carry an average of three devices wherever they go. It's a group that probably wastes more time turning on devices for the TSA when traveling, but chances are they're not booting Windows XP--one of the appeals of modern Macs is the quick startup time of flash memory.

Given that it's reputable workers opting to bring their own MacBook Air notebooks to work rather than struggle with the company-issued anvil running a decade-old version of Windows, Forrester's report suggests companies should tune in, turn on, and drop their lingering suspicion that there's something subversive about deviations from One Microsoft Way.

That doesn't mean dyed-in-the-wool Windows admins--presumably partial to an operating system that guarantees the employment of its maintenance priesthood--have to start singing folk protest songs and wearing rainbow colors as a sign of Mac acceptance. But Johnson contends companies should take a "laissez-faire approach" to managing Macs.

Ignore for a moment the irony of recommending a policy of laziness (laissez-faire translates roughly to doing nothing) to empower the "workaholics"--and consider that the consumerization of IT is happening whether IT managers embrace it or not.

In fact, there's more to it than just letting employees continue to smuggle their Macs into the building. Johnson's version of laissez-faire translates into six action items, but we're not talking about major IT initiatives. Accommodating Macs in an organization is more a matter of helping Mac users help themselves and making sure the roadblocks are removed, because empowering workers rather than restricting them enables productivity.

"There is a correlation between innovative, productive company performance and personal freedom for personal computing choices," Johnson concluded in his report. "Those continuing to force prohibition risk being labeled as irrelevant at best and are holding back the competitive potential of the company's employees."



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.