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Average Ratings 0 Ratings
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
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.
API Access
Has API
No
API Access
Has API
No
Integrations
IBM Storage Protect
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/mdm
Vendor Details
Company Name
Oracle
Website
www.oracle.com/sg/scm/product-lifecycle-management/master-data-management/
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
No
Campaign Management
No
Customer Profiles
No
Customer Segmentation
No
Data Integration
No
Data Matching
No
GDPR Compliance
No
Personalization
No
Predictive Modeling
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Product Data Management
Bill of Material Management
No
Document Management
No
Formula Management
No
Product Analytics
No
Product Lifecycle Management
No
Testing Management
No
Version Control
No
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No
Master Data Management
Data Governance
Yes
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
Yes
Process Management
No
Relationship Mapping
Yes
Visualization
No