Big Data. Big Decisions
InformationWeek
Special Coverage Series


Union Pacific Opens Austin Software Development Center

CIO Lynden Tennison goes where the talent is to build his development team.

 Big Data Talent War: 7 Ways To Win
Big Data Talent War: 7 Ways To Win
(click image for larger view and for slideshow)
In search of IT talent, Union Pacific, the U.S.'s largest railroad, is opening a software development center in Austin, Texas, that could employ up to 40 people. Union Pacific increasingly depends on tech talent for everything from developing analytics software to running one of the largest privately owned telecom operations.

But the railroad also faces the challenge of how to recruit tech hot shots into an industry and location that aren't top of mind for technologists. Union Pacific has centered its IT operations at its headquarters in Omaha, Neb. While Union Pacific has extensive internship and other outreach programs, Omaha is one of those "great place to raise a family" cities that can be tough to initially attract new talent. CIO Lynden Tennison says Union Pacific has been recruiting from Texas universities, but many candidates would prefer to live in Austin.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

More companies in heavy industry and manufacturing will face a tech talent crunch as they increasingly become dependent on software and data analytics to run their companies or to embed software as part of their products.

[ The next great technology problems are out there in rail yards, power plants and farm fields. To drive tech innovation, Silicon Valley Needs To Get Out More. ]

General Motors recently opened an Austin office that could employ up to 500 people in software development and other IT specialties. CIO Randy Mott is opening four such development centers around the U.S., in locations chosen specifically for the IT talent there. Ford and GE opened Silicon Valley offices in the past year.

Union Pacific has a lot to offer a technologist. The railroad does considerable custom development of software used in areas such as predictive analytics to anticipate equipment failures and to optimize logistics on its 32,000 miles of track. The company also develops a lot of the software-plus-hardware systems that are needed onboard to operate a train.

Union Pacific also is working on a lot of the same automation problems applied to trains that Google is researching for the self-driving car. For railroads, it's part of a Congressional mandate (called Positive Train Control) to use technology to prevent accidents such as train collisions.

Stay ahead of the eCommerce technology curve. Watch our webcast, Next Generation e-Commerce Strategies for B2B Sales and Marketing, to learn the strategies and tactics you can use to more efficiently give your clients what they want, keep them happy and increase sales. Register now.



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.