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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

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 

Screenshots View All

Screenshots View All

Integrations

IBM Storage Protect Yes 

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 

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