Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Chris Murphy

Chris Murphy

Editor, InformationWeek

How IT Can Keep Its Strategic Role In 2013

A columnist says this is the year IT may lose its seat at the strategy table. A focus on the end customer is key to avoiding that outcome.

Galen Gruman at InfoWorld is offering a dire warning: 2013 is the year IT may lose its "seat at the table" in helping set business strategy. Gruman's warning is worth a read, but he ignores the most important remedy: an IT focus on a company's end customers.

Gruman is downright gloomy in asserting that IT organizations have failed to become a strategic asset:

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"IT didn't fundamentally change in the last decade -- and has largely lost its chance to claim its spot at the strategic executives' table. Sadly, despite all the talk about being strategic, IT's focus in most companies has remained on core transactional and financial systems, and where its role has broadened has been in security enforcement, not enablement."

He cites as evidence IT's resistance to trends such as consumer-friendly smartphones, tablets and cloud services:

"IT organizations largely resisted, first claiming doom-and-gloom scenarios, then raising security objections [that] didn't even apply to the desktop. The pace of consumerization only accelerated, as it became clear that IT's claims were of the Chicken Little or Boy Who Cried Wolf variety -- not Cassandra's warning of the Trojan Horse."

Gruman's right that IT whiffed on the mobile revolution, too often reacting instead of leading. In a recent column on 6 Ways IT Still Fails The Business, I included mobility high on my list. But BYOD policies aren't the difference-maker between relevant and irrelevant IT organizations today. The difference comes from whether IT is helping the company provide services that are highly relevant to its end customers.

Gruman also rightly points out that IT too often uses security as a reason to say no. But he doesn't put much emphasis on the flip-side opportunity: IT's deep knowledge of transactional systems is one of the essential assets it must exploit to provide new, tech-powered services to customers.

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.
Consider what Sears is contemplating. It's now analyzing petabytes of customer data and trying to provide real-time offers via smartphones to shoppers while they're in its stores. Sears can't do that data analysis and marketing without a deep understanding of its transactional systems -- such as knowing what's in stock in a store so that it's not promoting a treadmill that's sold out.

Look at UPS's new My Choice service, which lets customers reroute a package that's already out on the road in a driver's truck. CIO Dave Barnes describes the service as easy to imagine but hard to engineer. UPS's customer database, its package-routing technology, its Web interface and its billing systems all had to be modified or accessed in a new way to deliver the new service.

Look at the CUNA Mutual Group smartphone app that lets people apply for a car loan while they're standing on a dealer's lot. Building that app took a couple of IT pros, working with the business manager of that process, who understood the loan documentation and compliance process and related (cloud-based) software.

IT leaders should heed Gruman's stark warning that IT isn't guaranteed a place in strategic discussions simply by the fact that technology is becoming more essential to the company. But to be relevant, IT pros at every level must spend 2013 improving their understanding of the needs of the company's ultimate customer.

For more, see: A Proposal For IT: Set Just One Goal For 2013.



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.