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Description
By utilizing IBM Master Data Management (MDM) on Cloud for both customer and product data, organizations can confidently trust and govern their information while benefiting from versatile deployment models. This approach enables faster workflows, easier scalability, and cost reduction. The fully managed solution facilitates rapid experimentation and innovation without the burden of administrative and infrastructure challenges. Furthermore, it lowers the initial expenses associated with new projects and mitigates risks through affordable entry points and subscription-based licensing options. With quicker provisioning and deployment of Master Data Management, businesses can allocate more resources toward developing new solutions and fostering innovation. Additionally, IBM Master Data Management on Cloud ensures high availability and enhanced user experience with its optimized infrastructure. Its customizable hardware and software framework is built on the reliable IBM Spectrum® Protect technology, allowing companies to migrate all or portions of their MDM workloads to the cloud seamlessly. This flexibility ultimately empowers businesses to adapt and thrive in a data-driven landscape.
Description
MDO transcends traditional master data management by incorporating automation and enhancing data standardization and governance, effectively leveraging your data to fulfill strategic objectives. It utilizes a robust governance framework, where active governance guarantees that only validated, standardized, and improved data is entered into your system. Meanwhile, passive governance facilitates continuous data validation and correction within your existing framework. As a scalable cloud solution, MDO is equipped with predefined data models and business rules, covering essential master data domains such as assets, spares, and suppliers, while also integrating smoothly with SAP and various other enterprise systems. Furthermore, MDO allows for the implementation of role-based governance policies, enriched with approval workflows and audit trails, fostering a sense of data ownership and amplifying data utilization throughout your organization. By preparing, cleansing, enriching, and migrating data, MDO is reinforced by a rigorous data quality assurance framework that ensures the integrity and reliability of your data. This comprehensive approach ultimately enhances your organization's ability to make informed decisions based on high-quality data.
API Access
Has API
API Access
Has API
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
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/mdm
Vendor Details
Company Name
Prospecta Software
Founded
2002
Country
Australia
Website
www.prospecta.com/mdo/
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product Data Management
Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control
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
Product Data Management
Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control