Big Data. Big Decisions
InformationWeek
Special Coverage Series


Oracle Offers Procurement SaaS

Sourcing On Demand represents a significant leap for Oracle into the area of SaaS modules for ERP.

Oracle on Monday is launching Oracle Sourcing On Demand, a subscription-based software service for procuring goods and services. More important, it shows that Oracle has identified another area where it can provide software as a service to its traditional customer base of large businesses.

Sourcing On Demand is a hosted offering that Oracle says will integrate with its own ERP systems as well as competitors' systems, and is priced at $850 a month per user.

That price may seem high, but as Oracle points out, large businesses may have only a few dozen procurement specialists on staff, while a business might deploy the $100-per-month Oracle CRM On Demand SaaS to thousands of salespeople.

Sourcing On Demand is designed for the procurement of such things as equipment and contracting services in the areas of financial services, manufacturing, high tech, consumer goods, and other industries, says Nagaraj Srinivasan, VP of supply chain management at Oracle.

What's more, the SaaS-to-ERP module may be just the beginning. "From an ERP standpoint, this is the first such offering to make its way to the marketplace," Srinivasan said in an interview Friday. "In terms of future plans, we're working with customers on which areas make sense" for future SaaS modules, he said.

The idea isn't new, however. SAP has offered a SaaS module for supplier-relationship management for at least a year, and recently hired a former Oracle executive, John Wookey, to develop an entire line of SaaS modules that have some connection to the core ERP system.

Oracle and SAP, in fact, appear to have a similar strategy around the concept of software plus services: stick with an on-premises, licensed software model for their customers' core ERP systems, but build SaaS extensions that work with those on-premises systems.

Oracle and SAP have said large companies prefer to keep their ERP systems on-site rather than venture into a SaaS model. But there's a financial incentive for these vendors, too: It protects their tried-and-true method for making money selling business software licenses and the accompanying maintenance contracts, while also providing customers with SaaS in areas they're most likely to appreciate.

A large company, for example, may be more willing to pay an $850-per-month, per-user fee for procurement than come up with the investment and time commitment to deploy such software on-site.

Sourcing On Demand is designed to complete sourcing events, ensure agreements are implemented as soon as they're signed, and generate "more effective" contracts, according to Oracle. It allows collaboration among experts from finance, purchasing, and business units to achieve the best cost and quality on purchased goods and services.


InformationWeek Analytics has published an independent analysis of the challenges around setting business priorities for next-gen Web applications. Download the report here (registration required).



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.