Big Data. Big Decisions
InformationWeek
Special Coverage Series


Sage Sells 3 CRM Divisions To U.S. Partner

British software company will focus on its core technology stack for small and midsize businesses.

8 Ways An SMB Makes Most Of Salesforce.com
8 Ways An SMB Makes Most Of Salesforce.com
(click image for larger view and for slideshow)
British-based accounting software supplier Sage has effectively pulled out of the vital North American market.

The company announced it is selling to U.S. interests three divisions supplying customer relationship management (CRM) software: SalesLogix, Act and Non-Profit Solutions, for a combined $101.2 million (£64.8 million). SalesLogix and Act will become part of one of its software partners, U.S. firm Swiftpage, while Non-Profit Solutions will go to Silicon Valley's private equity firm Accel-KKR.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

It also sold four businesses to French software house Argus Soditic for $44 million (£28.6 million). These were the French offices of its C&I public authorities subsidiary, Automotive brand and ATL transport and food market division, as well as its Spanish Aythos public sector arm.

[ Want to know how the BBC is working to shore up confidence after a spate of scandals? See BBC Shakes Up Online Arm. ]

Sage said that the moves will not affect customers or partners. Sage will retain its eponymous CRM platform and will concentrate on its core accounting and enterprise resource planning systems for small and midsize businesses (SMBs). Sage, in a FAQ for SalesLogix and Act customers, said it is not quitting the CRM market "and has no plans to do so."

"Our vision is to be the most valuable supporter of SMBs worldwide by creating the freedom for them to succeed," it said in the FAQ. "CRM is a key element of this vision, and will be delivered via Sage CRM, our CRM solution which integrates with our Sage ERP solutions."

Nonetheless, commentators said Sage is effectively exiting the CRM market and pointed out that it has struggled to find a consistent strategy in the CRM space. For example, three years ago it created a separate arm for all its CRM technology, then quietly reversed that decision 12 months later.

Analysts see the move as broadly sensible, but there could still be a bumpy road ahead. "The Sage products that Swiftpage [has] acquired are complementary to its existing email and social media marketing products and will allow Swiftpage to deliver a comprehensive digital marketing solutions to its prospects," noted Forrester Research analyst Kate Leggett in a blog post on the divestiture. "However, Swiftpage will have to do a significant amount of work to bring a differentiated value proposition to a very competitive market."

In December, Sage released full-year results for its 2012 operations that showed revenue up 2% year on year, at $2.08 billion (£1.34 billion) in 2012 compared to $2.06 billion (£1.33 billion) in 2011, and pre-tax profit up 1%, to $517 million (£334 million).

The company at that time noted, "North America showed the anticipated sequential improvement in the second half of the year, driven by good progress with Sage Business Care and with Sage Payment Solutions."

Three technologies are vying to upend legacy data center networks. Which one will you back? Also in the new, all-digital Welcome To The Revolution(s) issue of Network Computing: Startups are bringing fine-grained I/O quality of service to solid-state arrays. (Free with registration.)



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.