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Description
To grasp the concept of master data management (MDM) thoroughly, we must start by defining master data while distinguishing it from master data management itself. Master data refers to the essential business information that underpins and categorizes the transactional and analytical data within an organization. This type of data is sometimes called “enterprise data” or “metadata” and typically encompasses application-specific metadata, various business perspectives, corporate dimensions, reference data, and master data assets. Instances of such enterprise data can include the chart of accounts, organizational or cost-center structures, market segments, product categories, and additional elements. On the other hand, master data management (MDM) performs the role indicated by its name—specifically managing master data. MDM integrates a suite of applications and technologies designed to consolidate, cleanse, and enhance master data while ensuring its synchronization with various applications, business processes, and analytical tools. Overall, MDM plays a crucial role in maintaining the integrity and consistency of data across an enterprise, ultimately driving more informed decision-making.
Description
Verdantis Harmonize is a cutting-edge AI-driven Master Data Management (MDM) tool aimed at refining the standardization, cleansing, and enrichment processes of vital master data areas, including vendor, MRO, material, equipment, customer, product, and employee information. It proficiently tackles data inconsistencies that may occur across various systems, regions, and languages. The automated data enrichment capabilities of Harmonize ensure adherence to globally accepted industry taxonomies like UNSPSC, PIDX, and eClass, among others. By enhancing the management of master data, Harmonize empowers organizations to boost their procurement strategies, refine inventory management, optimize supply chain functions, and elevate overall business productivity. With a rich history spanning more than two decades, Verdantis has catered to industries such as manufacturing, oil and gas, metals and mining, chemicals, and food and beverage, offering customized solutions that lead to significant advancements in data integrity and operational effectiveness. This commitment to excellence positions Verdantis as a leader in the MDM landscape, driving transformative results for its diverse clientele.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Oracle
Website
www.oracle.com/sg/scm/product-lifecycle-management/master-data-management/
Vendor Details
Company Name
Verdantis
Founded
2004
Country
United States
Website
www.verdantis.com
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization