Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Art Wittmann

Art Wittmann

Managing Director, InformationWeek Reports

Does Microsoft Really Need To Make Its Own Hardware?

Without some fundamental added value, Microsoft's hardware offerings are likely to go the way of the Zune.

InformationWeek Green - Dec. 10, 2012 InformationWeek Green
Download the entire Dec. 10, 2012, issue of InformationWeek, distributed in an all-digital format as part of our Green Initiative
(Registration required.)
We will plant a tree for each of the first 5,000 downloads.

Steve Ballmer says Microsoft is seriously considering making more of its own hardware. It seems that even with the old guard of IBM, Dell, Toshiba, Sony and HP, and the new guard of Samsung, Lenovo, LG and Asus, and all those white-box manufacturers, Microsoft just can't find a reliable design partner.

Have we come full circle to where we started 50 years ago, when hardware and software were inextricably intertwined and necessarily provided by the same company?

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Looking at the actions of some of the world's largest software houses, you could easily come to that conclusion. Microsoft now makes Surface, and it has made the Xbox for years. Google bought Motorola's phone division, probably for its patent portfolio but also to make the Droids it thinks people want. Google also makes the Chromebook. Even Oracle had to have its own hardware division, though the performance of Sun doesn't bear out the wisdom of that move. Its real play is purpose-built machines such as Exadata and Exalogic.

For the moment, put aside the question of whether the Oracles of the world are doing the right thing and focus on the trend as it relates to end users. Such moves start with Apple envy. After all, if Microsoft works with partners such as Intel or an ARM licensee to create reference designs, it would be hard to believe that manufacturers wouldn't help make prototypes.

Microsoft, Intel and system makers have collaborated to good effect in the past. Ultrabooks are a prime example: While they're not revolutionary, Ultrabooks address most every problem users have with laptops, from weight to battery life to processing power to boot time. They're a major improvement over last-generation notebooks and netbooks. Intel produced the reference designs, and a few months later systems showed up from a variety of manufacturers.

So what's Microsoft's problem with that model? The biggest problem is that it's not what Apple does, and Apple's share price has outperformed Microsoft's consistently.

It's not that Microsoft's products aren't good enough and that better hardware integration is the answer. The problem is that they're not good enough to displace entrenched products tied to an ecosystem investment, namely, Apple's iTunes and App Store. Without some fundamental added value, Microsoft's tablets are likely to go the way of the Zune. That's not because Zune wasn't a solid product; it might have been terrific, I never tried it. And the reason I never tried it is because I have an investment in iTunes and I know the iPod/iPad/ iPhone interface for playing music.

What's Microsoft's big value add? For businesses it might be compatibility with Office. For consumers I have no idea what it would be -- Xbox compatibility? This Apple-Microsoft dynamic reminds me of Ford's breakthrough with the Mustang. Chevy was a close follower with the Camaro, and both were big sellers. Dodge made the Dart and Charger, both technically great cars that never really caught on. Microsoft's third to market here. It had better have something more important than its Metro technology if it wants to compete, no matter who makes the hardware.



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.