13/14 in Data Quality

Response
Distribution
53Reviews

Oracle

Oracle Enterprise Data Quality

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.

7.8

Composite Score

Composite
Score

7.8

CX Score

CX
Score

+77

Emotional Footprint

Emotional
Footprint

80%

Likeliness to Recommend

Likeliness
to Recommend

13/14 in Data Quality

Response
Distribution
53Reviews

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Category Features
  • Dashboard
  • |
  • Data Cleansing
  • |
  • Data Enrichment
  • |
  • Data Integrity
  • |
  • Data Matching
  • |
  • Data Monitoring and Administration
  • |
  • Data Profiling
  • |
  • Data Source Connectivity
  • |
  • Geocoding
  • |
  • Record Deduplication
  • |
  • Record Management
  • |
  • Reporting Components
  • |
  • Usability

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Product Scorecard

A comprehensive report on a specific software product, aggregating feedback from real IT professionals and business leaders.

  • Net Promoter Score and Planned Renewal Rates
  • Feature and Vendor Capability Breakdown
  • Version and Module Satisfaction Levels
  • Comparisons by Organization Size, Usage, and Role

Word Cloud

As organizations become more and more dependent on software to automate and streamline operations, users are developing strong emotional connections to their applications and vendors. The SoftwareReviews word cloud aggregates the most commonly experienced pain points and prevailing opinions held by its users. Use this at-a-glance summary to evaluate the vendor-client relationship and product effectiveness.

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Product Reviews

  • -
  • 1
  • 2
  • 3
  • 4
Recommends
10/10

Consultant

Best product in the market.

Vendor Capability Satisfaction

  • 4
  • Business Value Created
  • 3
  • Breadth of Features
  • 3
  • Quality of Features
  • 4
  • Product Strategy and Rate of Improvement
  • 3
  • Usability and Intuitiveness
  • 4
  • Vendor Support
  • 4
  • Ease of Data Integration
  • 3
  • Ease of IT Administration
  • 2
  • Ease of Customization
  • 4
  • Availability and Quality of Training
  • 4
  • Ease of Implementation

Product Feature Satisfaction

  • 3
  • Data Cleansing
  • 3
  • Data Monitoring and Administration
  • 3
  • Record Deduplication
  • 4
  • Dashboard
  • 4
  • Data Enrichment
  • 4
  • Data Integrity
  • 4
  • Data Matching
  • 4
  • Data Profiling
  • 4
  • Data Source Connectivity
  • 4
  • Geocoding
  • 4
  • Record Management
  • 4
  • Reporting Components
  • 4
  • Usability
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