Oracle Enterprise Data Quality

Trusted Data for Your Enterprise Applications

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data resulting in trustworthy master data that integrates with applications to improve business insight.

  • Oracle Enterprise Data Quality
 
  • Offers best-of-breed data quality techniques for customer and product data
  • Supports business-oriented user interfaces with modern, open architecture
  • Standardizes, match-merges, analyzes, and cleanses enterprise data
  • Provides customized dashboards to view data changes over time

What's New

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Event:

Technology Strategies for Enabling Enterprise Data Governance

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Press release:

Oracle to Announce Datanomic Integration Plans

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Customer Success Stories

BMJ Group logo

"Oracle's enterprise data quality suite dramatically cuts the time required to profile, cleanse, and match large data sets with millions of records. We can now complete in one day groupwide data profiling and analysis that previously took us a week to complete."

Hari Thandi, Manager, Information Services, BMJ Group Ltd.
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AlphaPurchase logo

"Thanks to Oracle Product Data Quality, data cleansing only takes a few hours. The lead time for checking and updating items in our online catalog now takes two to five days, which means our customers benefit from accurate, up-to-date pricing, and we don't miss out on any sales opportunities."

Takao Tanabe, Head, Consulting Department, and Associate Senior Corporate Executive Officer, AlphaPurchase Co., Ltd
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Market America logo

"Market America had a 35% increase in Web site sales during a down economy. Oracle Product Data Quality played a an important role in our success by enabling us to onboard stores faster, improve data quality and site search, and support our cashback program."

JR Ridinger, President & Chief Executive Officer Market America Inc.
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Demystifying Cloud Integration
Data Integration Breakthroughs: Bridging the Gap in Big Data, Cloud, and Real-time, Wednesday, October 24, 2012, 10AM PDT
Bridging the Big Data Divide with Oracle Data Integration
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