Welcome!

Artificial Intelligence Authors: Yeshim Deniz, Pat Romanski, Elizabeth White, Liz McMillan, Zakia Bouachraoui

News Feed Item

Gartner Positions Oracle in Leaders Quadrant for Master Data Management of Customer Data Solutions

REDWOOD SHORES, CA -- (Marketwire) -- 01/09/13 -- Oracle (NASDAQ: ORCL)

News Facts

  • For the sixth consecutive year, Gartner, Inc. has named Oracle as a Leader in its "Magic Quadrant for Master Data Management of Customer Data Solutions." (1)
  • Gartner's Magic Quadrant reports position vendors within a particular quadrant based on their completeness of vision and ability to execute.
  • According to Gartner, "Vendors in the Leaders quadrant have strong results and delivery capabilities, and will continue to have them. They typically possess a large, satisfied customer base (relative to the size of the market) and enjoy high visibility in the market. The size and financial strength of the Leaders enable them to remain viable in a challenging economy. Leaders have mature offerings and track records of successful deployments, even in the most-challenging environments, across all geographies and in many vertical industries. Leaders have the strategic vision to address evolving client requirements; however, they're not always the best choice."
  • "Master Data Management (MDM) is a technology-enabled discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official, shared master data assets. Master data is the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise, such as customers, prospects, citizens, suppliers, sites, hierarchies, and chart of accounts," according to Gartner.
  • In relation to customer master data, Gartner explained, "The ability to create, maintain and leverage a single, trusted, shareable version of customer master data is increasingly seen as an essential requirement in commercial and noncommercial organizations to support business processes and business decision making."
  • By enabling organizations to centralize customer information from heterogeneous systems, Oracle Customer Hub creates a single view of customer information that can be leveraged and shared across functional departments in the enterprise, as well as externally with trading partners.
  • The Oracle Customer Hub leverages Oracle Enterprise Data Quality to arm organizations with high quality, trusted data for any enterprise application that drives better business decision-making and enables companies to target products, services, sales and marketing efforts with greater accuracy.
  • Oracle Customer Hub is part of Oracle Master Data Management that also includes Oracle Product Hub, Oracle Supplier Hub, Oracle Site Hub, Oracle Data Relationship Management, Oracle Enterprise Data Quality and their vertical variants. It is the most complete, best-in-class, MDM offering on the market, and helps customers consolidate and maintain complete, accurate, and authoritative master data across the entire enterprise.

Supporting Quote

  • "The ability to create a single view of the customer is extremely valuable to organizations as it helps them to understand and enhance the customer experience, improve the bottom line, and increase efficiency across the enterprise," said Melissa Boxer, vice president, Customer Hub Product Strategy, Oracle. "We believe Oracle's position in the Leaders Quadrant of Gartner's Magic Quadrant for Master Data Management of Customer Data Solutions is a testament to our commitment to providing best-in-class functionality across the industry's most complete MDM portfolio. By gaining a singular view of information across all organizational departments and analytical systems and augmenting it with social intelligence, our customers have an improved customer experience management solution and can make better decisions about their business."

Supporting Resources

(1) Gartner, Inc., "Magic Quadrant for Master Data Management of Customer Data Solutions," by John Radcliffe and Bill O'Kane, October 18, 2012

About Oracle
Oracle engineers hardware and software to work together in the cloud and in your data center. For more information about Oracle (NASDAQ: ORCL), visit www.oracle.com.

Trademarks
Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.

Disclaimer:

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Contact Info

Nicole Maloney
Oracle
+1.650.506.0806
Email Contact

Simon Jones
Blanc & Otus
+1.415.856.5155
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...