Big Data. Big Decisions
InformationWeek
Special Coverage Series


HP's PC, Services Units Under Scrutiny

In annual report filed with SEC, tech giant says it's considering divesture of businesses that don't fit with its long-term plans. Will CEO Whitman stick with the PC business?

Hewlett Packard said it may divest business units or assets that no longer fit with its long-term objectives, a sign that CEO Meg Whitman may be looking to streamline the struggling tech titan's operations. In its annual report, filed with the Securities Exchange Commission, HP said, "We also continue to evaluate the potential disposition of assets and businesses that no longer help us meet our objectives."

In the document, filed on Friday just before the New Year's break, HP added, "When we decide to sell assets or a business, we may encounter difficulty finding buyers or alternative exit strategies on acceptable terms in a timely manner, which could delay the achievement of our strategic objectives."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

HP did not specify which units could be on the block, nor has it commented further on the filing, but its recent financial maneuverings provide strong indications.

The company's Enterprise Services, or outsourcing, unit could be under scrutiny. Last August, HP announced that the unit's performance was so poor that the company would write down its value by $8 billion in third quarter of 2012. At the same time, HP announced that then Enterprise Services chief John Visentin would be leaving the company.

HP's Enterprise Services unit mainly comprises assets the company acquired through its $13.9 billion acquisition of Plano, Texas-based Electronic Data Systems in 2008.

[ Will PCs be able to see, touch, and smell in five years? See why IBM thinks so. ]

The deal was supposed to put HP into IT Services' big leagues and make it a legitimate challenger to market leader IBM. But it never lived up to expectations.

Beyond a handful of high-profile customer wins, the most notable being Procter & Gamble, the deal failed to make HP a services juggernaut along the lines of Big Blue. HP's services revenues fell 2%, year over year, to $35 billion in the company's most recent fiscal year.

Another unit that could be up for grabs is HP's Personal Systems group, which sells PCs, tablets and other end-user devices. That group's revenues fell 10% in the most recent fiscal year, to $35.7 billion. It, along with the rest of the PC industry, has been hit hard by consumers and business road warriors' embrace of non-Windows tablets and smartphones.

HP and other Microsoft partners are betting on Windows 8 to help reverse the trend, but early sales of devices powered by Redmond's new OS are said to be slow.

HP's PC business has been on the block previously. Former CEO Leo Apotheker said last August that he would seek a buyer for the unit, and shut down all of the company's WebOS efforts. HP gained WebOS through its $1.2 billion acquisition of Palm in 2010. Apotheker planned to use it as a PC operating system along with Windows before deciding to axe the PC unit. HP's board fired him last September after losing faith in his strategy, replacing him with Whitman.

HP shares were up more than 5% in morning trading Wednesday.

Cloud computing, virtualization and the mobile explosion create computing demands that today’s servers may not meet. Join Dell executives to get an in-depth look at how next-generation servers meet the evolving demands of enterprise computing, while adapting to the next wave of IT challenges. Register for this Dell-sponsored webcast now.



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.