Big Data. Big Decisions
InformationWeek
Special Coverage Series


CEO Vs. CIO: Big Data Security Battle

Many execs don't see eye-to-eye on new cloud computing environments now, but who has the advantage in the long term?

Here's a scenario that may sound familiar, particularly if you're privy to the inner workings of corporate management. A company's CEO wants to deploy cloud-based data processing technology, but his CIO balks at the idea, arguing the firm's data is too important to store offsite and in the ether.

"I'm seeing a lot of disconnect there" when it comes to big data and cloud services, said Ryan Caplan, president and CEO of Coldlight Solutions, a data analytics company based in Wayne, Penn., northwest of Philadelphia.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

In a phone interview with InformationWeek, Caplan said that CEOs and CIOs often don't see eye-to-eye when it comes to cloud data systems.

"The CEO is saying, 'I want this. Everybody else seems to be able to do it. Why can't I do it?' And the argument I hear from the CIOs is, 'Our world is different. Our data is different. Our data is too secure. Our data is too proprietary,'" Caplan said.

In most companies, the CEO is the big-picture person--but one less concerned with the technologies used to achieve his or her vision. "The CEO is tasked with vision, expansion, and profitable growth of the organization at large," said Caplan. "The CIO has largely and historically been tasked with managing the information inside the four walls of the organization."

[Don't get sidetracked at the start. See Big Data Projects: 6 Ways To Start Smart. ]

This time-tested arrangement has made the CIO somewhat of a counterbalance to the CEO, but that's not always a good thing, particularly when it comes to big data deployments.

"What I'm seeing now is that it's impacting CIOs who are reticent to move into larger-scale processing environments, or take advantage of all things that cloud processing has to offer," Caplan said.

The CEO vs. CIO argument is far from new. A decade ago, in a July 2002 Strategy+Business article titled "CEO vs. CIO: Can This Marriage Be Saved?" writers John O. Boochever, Thomas Park, and James C. Weinberg wrote: "The unfunny truth is that CEOs and CIOs too often act as though they are partners in an enormously uncomfortable marriage."

The technical issues may be different today, but the prickly relationship remains.

So what issues do some CIOs have with cloud-based systems?

"I think there's a perception of security," Caplan said. "If you talk to the cloud providers, they'll tell you there's a perception--and probably an inappropriate perception--that locally stored data is more secure than data stored in cloud environments."

But, as Caplan pointed out, data isn't necessarily secure just because it's stored onsite. "We deal with clients who think their [onsite] data is secure, and you walk into their environment and it's accessible. You can get through one wooden door and you're in," said Caplan.

A CIO's reticence to try cloud services may also be because he or she isn't up to speed on the latest developments in secure storage, encryption, and data transfer. "And they're really just not willing to recognize that the world has changed," Caplan said.

Many companies, of course, have already moved information to cloud-based systems, including e-commerce and numerous Internet-based businesses. But some industries, such as healthcare, have been particularly reluctant to change.

"One of the huge challenges with healthcare is that even though the information can easily be stored in encrypted (form), the liability is just so strong that businesses won't risk moving data into a cloud-computing environment," said Caplan.

Ultimately, though, the cloud will triumph, he believes. "Efficiency always wins out in the end. Part of the business ecosystem is that scalability and expandability will win out over some of the near-term concerns," Caplan said.

His prediction: "In the short term, I think the CIO wins. In the long term, the CEO wins."

Cloud services can play a role in any BC/DR plan. Yet just 23% of 414 business technology pros responding to our 2011 Business Continuity/Disaster Recovery Survey use services as part of their application and data resiliency strategies, even though half (correctly) say it would reduce overall recovery times. Our The Cloud's Role In BC/DR report shows how the combination of cloud backup and IaaS offerings can be a beneficial part of a "DR 2.0" plan. (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.