Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Chris Murphy

Chris Murphy

Editor, InformationWeek

SAP Finally Picks Up The Pace On Cloud

Its SuccessFactors acquisition is just part of its newfound urgency.

InformationWeek Green - Dec. 19, 2011 InformationWeek Green
Download the entire Dec. 19, 2011 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.

Chris Murphy If there's one word that describes SAP's cloud software strategy over the past few years, it would be "patient." "Dithering," "timid," and "stalled" also come to mind.

In a flash, though, SAP is shedding its inhibitions. Suddenly, this is a company in a hurry to be a player in one of the most disruptive and important trends in business technology--cloud-based software.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

It's all a bit unsettling. SAP was like one of those stately gentlemen always dressed in a proper coat, tie, and hat--never rushed, flustered, or in doubt. Now this dandy's dropped the walking stick and is diving after a ball in the street, suddenly not afraid to get his pants dirty and maybe his nose bloodied.

Its $3.4 billion bid for SuccessFactors is the most obvious sign of SAP's newfound urgency, but it's not the only one.

My colleague Doug Henschen notes the significance of SAP's recent pact to resell cloud-based analytics software from NetBase, to help companies track what customers and potential customers are saying about their brands and products on social networks (see "SAP Tries To Leapfrog Salesforce.com On Social Analysis"). It's an area where Salesforce.com made one of its biggest moves of the year, buying sentiment analytics provider Radian6. Henschen notes that SAP has its own natural-language processing capability that it could try to nurture into a social analytics product. Instead, it's taking the fast track by reselling a product it'll call SAP Social Media Analytics by NetBase.

SAP also plans in the coming year to hire up to 500 salespeople whose only job will be to sell cloud apps, says Peter Lorenz, executive VP of SAP cloud apps. In the past, SAP salespeople sold all products, and cloud apps took a backseat to big-ticket on-premises software.

With SuccessFactors, the 52% premium SAP agreed to pay shows that it wants a bigger cloud product portfolio quickly. But most telling is what SAP is doing with SuccessFactors CEO Lars Dalgaard. SAP handed him the keys to its cloud strategy and product portfolio, including its cloud-based Business ByDesign ERP suite (see "Top 10 Tech Acquisitions Of 2011").

Dalgaard, who founded SuccessFactors 10 years ago, is a blizzard of passion and ambition. The company makes cloud-based HR and collaboration apps, and while it has a huge number of end users--it says 15 million--it doesn't drive huge revenue from that base. Its sales were only $91 million last quarter, compared with Salesforce.com's $584 million and SAP's 3.4 billion euros. Yet that didn't keep Dalgaard, speaking at a Wells Fargo investor conference last month, from sounding like his only real concern was keeping SuccessFactors from conquering the software world too quickly. He talked up its 19 existing products, its plan for more acquisitions like this year's Plateau deal, and its goal of moving into established areas such as financials and expense reporting. "We would already be in financials if we could handle more," Dalgaard said.

Will SAP truly let Dalgaard run with its cloud business? Will it really turn 500 cloud-obsessed salespeople loose? 2012 will be the year for SAP to prove it's past dithering.



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.