Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Bob Evans

Global CIO: Oracle's Mark Hurd Calls Out Deadly IT Strategies

Hurd outlined several world-shaking trends while speaking with some of Oracle's largest financial-services customers and prospects.

In a wide-ranging conversation with Oracle's financial-services customers and prospects yesterday, president Mark Hurd stressed that the next decade or two will bring profound changes in where wealth is created around the globe and in the ways technology can help—or hinder—companies seeking to exploit that opportunity.

Pointing to Indonesia, Mexico and Turkey as among the next wave of high-growth countries, Hurd predicted that those lands will lead the next great wave of wealth creation created by innovative companies whose products and services and ideas are consumed around the world.

"There's a big change in where wealth is going to be created," Hurd said. "If you were hanging around high income countries like this one for the past 20 to 25 years, you're probably in a good place. But in the future, if you want to be somewhere interesting, try" some of the emerging markets he highlighted.

Success in those rapidly evolving markets will require different skills, different outlooks, and different technological capabilities than those that underpinned the American century (my term, not his), Hurd said, and winners and losers will be determined in large part by how they view and deploy IT in ways that lets them keep pace with customers.

Hurd touted Oracle's belief that competitive advantage will accrue to those companies that can liberate increasing percentages of their IT spending from internal integrations and maintenance, and then plow those funds into innovation and growth-oriented opportunities. And Hurd predicted that companies unable or unwilling to climb out of the eternal-integration rut "will lose."

Those stuck-in-the-past enterprises will first lose their ability to keep up with and delight customers, Hurd said, and then they'll lose those customers, and then they'll lose in the marketplace because they simply can't move at the speed that a massively urbanized and mobilized economy will demand.

How mobilized? Exactly one year from now, Hurd said, the planet Earth will be populated by more mobile phones than people.

It was a fascinating exchange as Hurd, who spoke for about 15 minutes and then took questions from the audience, was making a case that must have seemed downright radical—if not heretical—to executives from some of the country's largest banks, insurance companies, and capital-markets firms.

Because, at the heart of his remarks, Hurd was suggesting to that very high-level audience that they need to begin stepping away from the vendor-arbitrage strategy that has been a mainstay of corporate IT buying for the past 20 or 30 years.

Those big financial-services companies have spent those last few decades assembling the Noah's Ark of technology:

 1 | 2  | Next Page »


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.