Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Chris Murphy

Chris Murphy

Editor, InformationWeek

Global CIO: SAS Takes On IBM, As IT Meets Marketing

Analytics is changing marketing, as recent M&A activity shows.

SAS's acquisition of Assetlink offers the latest evidence that marketing is becoming a data-driven discipline, and that IT must build closer ties to their marketing colleagues. It also ups the importance of marketing capabilities in the battle between SAS and IBM over which vendor will provide companies with the analytics software they need to compete.

Demand for marketing analytics is growing as chief marketing officers are increasingly under the gun to prove more precisely the effectiveness of advertising and promotions. They're also expected to monitor and analyze the online conversations going on about a company's products--what's being said in online reviews and blog comments, and on social networks.

This week's deal for Assetlink puts SAS that much closer to more of the raw data of marketing. Assetlink develops software for marketing resource management, used to plan and budget ad spending, manage the content, provide workflows, and manage leads on would-be buyers. SAS plans to combine that with its analytics software to better analyze results, in closer to real time. SAS says applying real-time analytics to this data will let companies "predict customer attrition, calculate customer profitability, and discern topics and sentiment from consumer reviews and complaints."

SAS is the king of analytics, but IBM wants to steal the crown. While IBM's $1.2 billion acquisition of SPSS was its biggest move in analytics broadly, IBM also made a major push into marketing analytics last year, in the form of a $480 million deal for Unica (for analyzing and delivering targeted marketing) and the acquisition of Coremetrics (Web site analytics and sentiment analysis). Teradata also got into the game late last year, through its purchase of marketing management software company Aprimo for $525 million. Last August, when IBM bought Unica, SAS sniffed that IBM was "late entering an already mature market."

Marketing analytics hardly feels like a mature market, though. Just 4% of marketing pros and 7% of IT say they're "very prepared to exploit digital marketing," according to a study by Accenture and the CMO Council released last fall. And only about 27% of marketers and IT executives agree with the statement “we know what we need to know about customer’s usage of our digital channels.”

It looks to me like there's huge uncertainty and disruption ahead as companies figure out how to master the art of digital marketing, including how to effectively use real-time and predictive analytics, personalize digital marketing, and react to consumer sentiment on social networks.

 1 | 2  | Next Page »


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.