Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Larry Tieman

American Airlines Reveals Limits Of World-Class IT

American Airlines once had the industry's best business and IT minds and produced the most innovative IT-based products. But now it's staring at bankruptcy.

It's now conventional wisdom that IT innovations can transform a company and industry, with potentially devastating consequences for slow-footed competitors. But the November bankruptcy filing of AMR, parent of American Airlines, is a reminder that market forces can sometimes trump even the best business technology.

In 1985, AA's IT was at its zenith. Its IT organization was large and well led. Max Hopper, AA's former senior VP of IT and one of the visionary creators of the Sabre computer reservation system, had just returned to AA from Bank of America.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

AA's management team was IT-savvy. CEO Robert Crandall, an airline industry legend, had been in IT at Hallmark Cards and TWA. Robert Baker, head of airline operations, had been AA's senior VP of IT while Max was at Bank of America. The business leadership was everything a CIO could hope for.

Hopper's organization, which went far beyond IT, was built around Sabre, which AA owned and which generated revenue on each booking. In 1985, about 10,000 reservation agencies used Sabre to book flights for all the major airlines. Sabre generated more profits for AA than its flights did. Crandall once said that if he had to choose between the airline and Sabre, he would choose Sabre. But he didn't. Crandall retired in 1998 and AA spun off Sabre in 1999.

Throughout the 1980s, AA's business/IT programs were exceptionally innovative. Its AAdvantage program (and system), one of the largest loyalty programs in the world in its heyday, was a breakthrough. AA's revenue management system led the industry. Its Bargain Finder, introduced in 1984, gave agents a low-fare search capability. AA released easySabre in 1987, giving consumers access to Sabre for airline and hotel reservations. In 1988, the same year that AMR earned $535 million on revenue of $10.6 billion, AA introduced the Citibank AAdvantage card.

But in 1990, AMR lost $40 million; in 1992, $935 million. Why, if IT was and is so critical to business success, was American Airlines, with its world-class business and IT leadership, struggling just a few years after introducing so many innovative business/IT products? Three main reasons:

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.

The airline industry is a very difficult business. As Richard Branson, CEO of Virgin Atlantic Airlines, once said: "If you want to be a millionaire, start with a billion dollars and launch a new airline."

It's well documented that airlines face four major problems:

-- Airplanes are very expensive and need to be flown a lot to generate a return on the massive investment.

-- Airline operating costs, including pilot salaries, aircraft maintenance, and fluctuating fuel prices, are high.

-- The industry's labor relations are notoriously bad.

-- Profitable pricing is very difficult. All airlines constantly monitor competitors' prices and react. Pricing, as Crandall used to say, is dictated by your dumbest competitor: Airlines losing money cut ticket prices, forcing everyone else to match them. He who runs out of money last wins in the airline industry.

 1 | 2  | Next Page »


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.