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What is Verdantis MDM Suite?

Modern enterprises depend on accurate, consistent, and actionable data to keep operations running efficiently. The Verdantis MDM Suite helps organizations overcome long-standing master data challenges, delivering end-to-end capabilities for cleansing, deduplication, normalization, enrichment, and governance. With built-in compatibility for SAP, Oracle, and Microsoft Dynamics, Verdantis ensures smooth, real-time integration with existing enterprise systems, making high-quality data accessible where it matters most. Verdantis Harmonize transforms legacy, fragmented datasets into standardized, enriched information assets. Through large-scale automation, it eliminates duplicates, enhances classification accuracy, and accelerates data readiness, achieving results in weeks rather than months. Verdantis Integrity complements this foundation by embedding strong data governance and control. Predefined business rules, validations, and approval workflows ensure ongoing data accuracy, consistency, and compliance with corporate and regulatory standards. Going beyond conventional MDM, Verdantis incorporates domain-trained Agentic AI that brings intelligence to MRO data management. From parts obsolescence tracking and intelligent alternates to category analytics and predictive insights, the AI engine enables organizations to anticipate change, optimize spare parts inventory, and enhance operational reliability. By uniting automation, governance, and AI-driven intelligence, the Verdantis MDM Suite empowers enterprises to transform MRO data into a strategic lever for operational excellence, reducing costs, minimizing downtime, and ensuring business continuity at scale.

What is Oracle Enterprise Data Management?

Boost your capability to swiftly and adeptly respond to changes by proficiently overseeing your master data, whether navigating a cloud application transition, managing the effects of mergers and acquisitions, or aligning metadata inconsistencies across multiple business areas and applications. You have the ability to import hierarchies or lists from various applications contributing to your data ecosystem, which allows for streamlined operations and removes the need for data validation upon entry, even in cases of lower data quality. Moreover, you can improve the overall data quality within a particular application or business area by validating distinct perspectives known as viewpoints. Additionally, you can effortlessly migrate and map enterprise data elements while accommodating ongoing changes across a range of environments, including public, private, and hybrid clouds, regardless of whether the data comes from Oracle or other third-party providers. Utilizing a straightforward shopping cart interface, you can conveniently create new enterprise data or adjust existing relationships and attributes, thus empowering you to manage your data landscape with more efficiency. This method not only simplifies the data management process but also fosters enhanced collaboration among teams, leading to a more cohesive working environment. As a result, your organization can achieve greater agility and responsiveness in a rapidly evolving data landscape.

Media

Media

Integrations Supported

Odoo
Oracle AI Data Platform (AIDP)

Integrations Supported

Axibase Enterprise Reporter (AER)
Azure Marketplace

API Availability

API Availability

Pricing Information

Subscription Based

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
On-Prem
Chromebook

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Webinars
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Verdantis

Date Founded

2004

Company Location

United States

Company Website

www.verdantis.com

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/performance-management/enterprise-data-management/

Categories and Features

Master Data Management

Data Governance
Data Source Integrations
Hierarchy Management
Match & Merge
Multi-Domain

Categories and Features

Data Collaboration

Not specified

Data Management

Not specified

Metadata Management

Not specified

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