Big Data. Big Decisions
InformationWeek
Special Coverage Series


Judge Allows Federal Fraud Suit Against Oracle

The software firm tried to convince the court that the government didn't have a legitimate claim that it bilked taxpayers out of millions of dollars.

Government Innovators
Slideshow: Government Innovators
(click image for larger view and for full slideshow)

A federal court last week said that it would move forward with a lawsuit claiming that Oracle bilked the federal government and taxpayers out of tens of millions of dollars by failing to disclose deep discounts.

Oracle contract specialist Paul Frascella filed the suit in May 2007 under the False Claims Act, which allows private citizens to sue on behalf of the government and collect a portion of the damages. He claimed Oracle shaved as much as 92% of the sticker price off its products for its most favored customers, but gave the federal government much smaller discounts, contrary to requirements that the federal government receive prices that match the best price. The Department of Justice (DoJ) joined the suit in June with additional claims.

In a preliminary ruling on November 2, the U.S. District Court for the Eastern District of Virginia agreed with Oracle that certain of the federal government's claims were too old and therefore barred by the statute of limitations, but said that others still stand, as do Frascella's initial claims.

Among Frascella's claims was an allegation that Oracle improperly told employees that discount requirements applied only to database and computer tools, not to enterprise software. After Oracle employees expressed concern about the distinction between database and other enterprise software, Frascella claims, Oracle VP of global practices Ellen Eder, the highest-ranking official named in the complaint, said that her office wouldn't respond in writing because it would create a paper trail.

In addition, Frascella's complaint detailed schemes he says were designed to give commercial customers deeper discounts than the government, including having resellers sell below the maximum allowable discount and whiting out list prices and discounts on contracts and leaving only a net fee visible.

The government, meanwhile, said that it had been fraudulently induced into the contract with Oracle, that Oracle had breached its contracts with the government, and that Oracle had falsely represented and fraudulently omitted facts about its discount and pricing practices in its dealings with the government.

In response, Oracle moved to dismiss the government's case for failure to state a claim, meaning that even if the government's allegations are all true, the government had no case. "The government's complaint is a hodgepodge of inadequately pled, inconsistent, and, in many cases, untimely theories of liability that no set of facts can rescue," the motion said. The court obviously found merit only in part of this argument.

False Claims Act charges aren't infrequent, and sometimes result in significant settlements or damage awards, though many such cases settle out of court. In September, the DoJ announced that Cisco Systems and networking reseller Westcon Group agreed to pay $48 million to settle claims that they had "knowingly provided incomplete information" to government contracting officers, resulting in the government being overcharged for Cisco products.

In May, EMC reached a settlement with the DoJ to pay the government $87.5 million to settle similar charges, and NetApp reached a $128 million settlement with the government in April 2009. Oracle itself agreed in October 2006 to pay the government $98.5 million to settle a case in which PeopleSoft -- an Oracle acquisition -- was alleged of providing false pricing information to the General Services Administration.



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.