Big Data. Big Decisions
InformationWeek
Special Coverage Series


Inside IBM's $1.3 Billion Kenexa Buy

IBM social business group's move mirrors acquisitions by SAP, Oracle, and Salesforce.com to add online recruiting and talent management to product suites.

Enterprise Social Networks: Must-Have Features Guide
Enterprise Social Networks: Must-Have Features Guide
(click image for larger view and for slideshow)
IBM's social business unit announced a $1.3 billion acquisition of Kenexa, a cloud software provider for recruiting and human capital management, mirroring similar moves by SAP, Oracle, and Salesforce.com.

The big vendors are recognizing that people-centric processes like recruiting, training, and talent management are a natural match for social business. Within the last year, SAP acquired SuccessFactors for $3.4 billion, Oracle acquired Taleo for $1.9 billion, and Salesforce.com acquired Rypple, a startup using social recognition and goal setting to improve employee performance. Saba's People Cloud strategy to build an enterprise social platform branching out from its training and talent management products also fits into this pattern.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Alistair Rennie, general manager of social business for IBM, said the combination of Kenexa's cloud software, outsourcing, and consulting services with IBM's enterprise social networking and analytic technologies would benefit companies seeking "to drive human capital innovation, productivity, and change from their employees."

[ Need to pull the pieces together? Read How Smart Businesses Reorganize For Social.]

Judging from the way it markets itself, Kenexa so far has emphasized the benefits of exploiting social media connections for recruiting, as detailed in a company blog post and a white paper on "Going Beyond Facebook And Linkedin."

Rennie said one of the main questions Kenexa can help businesses answer is "How do I find the right people?" However, Kenexa's contribution will not be limited to recruiting, but also extends to areas like employee compensation and retention, he said. "We're looking to take what they know about how to find the right people, compensate the right people, and retain the right people, and combine it with our assets in social business."

Rudy Karsan, CEO of Kenexa, said social media is a particularly valuable resource for recruiting because "we can use social to find where people congregate, whether live or over the Internet."

The Wall Street Journal noted this $1.3 billion purchase of a public company was a change from IBM's usual pattern of acquiring smaller, private firms. Because this puts IBM in competition with SAP, a key partner, it also reflects a shift in IBM strategy toward competing more in the applications market, in addition to partnering with applications firms through its consulting arm.

Kenexa is also attractive because it includes a consulting business, meaning that it in addition to providing technologies it offers the services to help organizations implement them, Rennie said. Buyers are typically looking to achieve a business outcome more than they are looking to buy a technology, he said.

IBM expects the acquisition to close by December.

Follow David F. Carr on Twitter @davidfcarr. The BrainYard is @thebyard and facebook.com/thebyard

Social media make the customer more powerful than ever. Here's how to listen and react. Also in the new, all-digital The Customer Really Comes First issue of The BrainYard: The right tools can help smooth over the rough edges in your social business architecture. (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.