Big Data. Big Decisions
InformationWeek
Special Coverage Series


Global CIO: BP's Extraordinary Transformation Led By CIO Dana Deasy

BP CEO Tony Hayward told top managers the company had become a "serial underperformer." Here's how CIO Dana Deasy and the IT teams answered the challenge.

Two years ago, the CEO of one of the world's largest corporations laid some very tough love on his 500 top managers. Despite having annual revenue of about $300 billion, BP had become, said CEO Tony Hayward, "a serial underperformer" that had "promised a lot but not delivered very much."

At that March 2008 meeting, those same 500 top BP managers also heard a Morgan Stanley oil and gas analyst tell them that while the rest of the energy industry was undertaking rapid change, BP was building a legacy of consistent failure both in finding and extracting new energy, and in refining and marketing finished products. And unless BP transformed its entire global business dramatically and rapidly, the analyst predicted, "BP will not exist in four to five years' time in its current form."

One of the people in that meeting was BP CIO and group VP Dana Deasy, who'd joined the company four months earlier as its first global CIO. He was a key figure in the strategy by Hayward, who became CEO in May 2007, to restore revenue growth across the enormous company, refocus the behavior of the company around high performance and accountability, and reduce the stifling complexity of the organization. That effort already had resulted in the elimination of up to four layers of management.

As Deasy listened to the sobering comments from his CEO and from a highly influential analyst, he thought about the transformation he had already launched within IT, an organization he thought had become, like the company overall, bloated, passive, unfocused, and unconcerned with performance and accountability.

Deasy wanted to strip out $800 million in expenses from BP's overall IT budget of $3 billion; cut in half the more than 2,000 IT vendors it had; overhaul BP's ranks of 4,200 IT employees; rationalize and reduce the 8,500 applications in use at BP worldwide; and turn IT from a tactical services unit to a business-driven and intimately embedded strategic weapon.

No stranger to challenging CIO roles, Deasy took the CIO post with full knowledge of the tumultuous times ahead.

"We were several billion dollars behind our competitors in oil and gas, and there was a real and very pressing concern in the company due to that," Deasy says. "Another part of the gap that Tony wanted to see closed was around organizational simplification: fewer layers of management, smaller corporate staffs, and deeper talent across key functions."

While noting that BP at the time had some great people in IT and some cutting-edge systems for exploration, Deasy also understood that he was going to have to drive enormous change in personnel, processes, and objectives across the entire IT organization in order to support and enhance the larger overhaul taking place across all of BP.

InformationWeek: March 8, 2010 Issue To read the rest of the article, download a free PDF of InformationWeek magazine
(registration required)

For additional insight from BP CIO Dana Deasy on his transformation strategy, success measures, and challenges, download our report.

Download Our Global CIO Report



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.