Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Art Wittmann

Art Wittmann

Managing Director, InformationWeek Reports

HP Layoffs Signal Punishing Fall

Unless HP can turn enterprise software, cloud services, or some other line into a high-volume, high-margin business, it's in for a world of hurt.

Hewlett-Packard's second-quarter earnings call is scheduled for May 23, and news already has leaked that CEO Meg Whitman will announce that the company will cut as many as 30,000 employees--about 9% of its workforce--as part of a restructuring plan. The news breeds speculation that HP's earnings will continue to be weak, requiring a fairly drastic cut in expenses to prop them up. It also comes on the heels of an oddly upbeat first-quarter earnings call in which HP announced that earnings had fallen 44% from the year-earlier quarter.

As HP's plight unfolds, it's tempting to compare it to others that have faced down a reinvention problem. There's Cisco, which has shed products outside its core mission, trimmed staff, and reinvented internal processes over the past two years, all to excellent effect.

But that's not a good comparison because Cisco has something HP doesn't: industry leading products that command huge profit margins. Cisco makes a lot of hay with its fancy televideo products, phones, and even mobile devices, but it's the dull products like its hugely successful ISR routers (the little gizmos found in hundreds of thousands of branch offices and retail stores worldwide) that pay its bills and allow the company the luxury of time as it goes through its reinvention process.

Sure, investors would always like a company such as Cisco to fix its problems instantly, but even when its performance is down, it's still very good. In the same way, Oracle can absorb the stupidity that was the Sun acquisition, which would have sunk most any other company, because when you've got a namesake product that drives revenue like Oracle's database, the market and everyone else gives you a pass. IBM has its Global Services business. Microsoft, for all its perceived problems, still has its Windows and Office cash cows. For all of these companies, fat margins mean time for reinvention.

HP used to have its high-margin businesses, but one by one they've disappeared or dried up--all but ink and toner, and now those are shrinking too. So when it's time for reinvention and what HP calls "cutting to invest," it's a much more public and painful thing than it would be for Cisco, Oracle, IBM, or Microsoft. And so as ugly as 30,000 people losing their jobs sounds, one wonders whether it's ugly enough, and whether, after it's over, we'll understand any better what is HP's vision for the future.

It's not hard to visualize a version of HP that looks a lot like Dell. Dell, about a third the size of HP by employee count, finds itself working to be more than a PC maker. Just like HP, it sees pressure on its traditional markets from the likes of Lenovo, Samsung, and LG, so much so that both companies probably envision a day when it will no longer make sense for them to sell laptop and desktop computers. Both companies have been ramping up their enterprise and professional services groups to make up for the sales and margin losses they'll see from their established product lines.

For Dell, that's working out to be a fairly well executed plan, one that keeps in mind its typical midmarket customers. For HP, if it doesn't find a high-margin business to hang its reputation on, the way down will be a bloodbath of layoffs and missed earnings projections.

Global CIO
Global CIOs: A Site Just For You
Visit InformationWeek's Global CIO -- our online community and information resource for CIOs operating in the global economy.

HP's hopes of avoiding that bloodbath lie in two areas: cloud services and enterprise software. Former CEO Leo Apotheker's contribution to that effort was the acquisitions of Autonomy and Vertica, which compete in data management and big data analysis, respectively. While Vertica has seen success since HP bought it, InformationWeek's Doug Henschen says that success may have come at the cost of relationships with partners who now view HP as a competitor. The result is that those software providers now more readily mention IBM as their hardware partner. Certainly, HP's relationship with Oracle isn't what it once was, given Oracle's acquisition of Sun, and that mudslinging hasn't helped HP's reputation.

As HP ramps up its software portfolio, it will continue to upset its existing partners. Whitman and team will have to do the calculus to determine if that's worth the gain. If HP is serious about becoming a software powerhouse, it will have little choice.

The ace in the hole for HP is cloud services. HP's cloud products are just now coming out of beta, and at first blush they look as if they will compete well with Amazon's. Whether cloud services can be the high-volume, high-margin business that HP needs is a tougher call. No matter what, it'll take time for that business to develop. And that means more rough quarters ahead for HP.

From clouds to mobile to software development, threats may be everywhere, but they're not equally dangerous. The new, all-digital IT Strategic Security Survey issue of InformationWeek will help you prioritize. Also in this issue: IT must decide how to deal with consumer cloud storage being used in businesses. (Free registration required.)



Related Reading


More Insights




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.