Oracle Master Data Management

Oracle Master Data Management (MDM) is a platform that delivers master data across your enterprise and distributes the information to all operational and analytical applications. It has good data modeling capabilities and Enterprise application integration(EAI).

Key Features Of Oracle MDM:

• Provides business process management.
• Match and merge function.
• Provides good data quality and profiling aspects.
• Box option is available. It is easy to maintain all the features of the box.
• Supports loading and validation.

Why should you choose Nisa for Oracle Master Data Management Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Oracle MDM Cloud Training, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your inquiry for Online Job
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
• If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Oracle MDM Training

Duration: 30 Hours

Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive Sessions.

COURSE CONTENT :

1. Introduction to Master Data Management (MDM)

• What is MDM?
  • Definition and Importance of Master Data
  • Benefits of Master Data Management
  • Challenges in Master Data Management
• Key Concepts and Terminologies
  • Master Data vs. Transactional Data
  • Single Version of Truth
  • Data Governance

2. Oracle MDM Overview

• Oracle MDM Solutions
  • Oracle Customer Hub (OCH)
  • Oracle Product Hub (OPH)
  • Oracle Supplier Hub
  • Oracle Data Hub
• Oracle MDM Architecture
  • Key Components of Oracle MDM
  • Integration with Oracle E-Business Suite, Oracle Fusion, and other ERP systems
• Oracle MDM Deployment Options
  • On-Premises vs. Cloud Deployment

3. Oracle MDM Implementation Lifecycle

• MDM Strategy and Planning
  • Assessing Data Needs
  • Defining Data Domains (Customer, Product, Supplier, etc.)
  • Understanding MDM Governance Models
• MDM Design
  • Data Modeling and Master Data Structures
  • Defining Data Stewardship and Ownership
  • Integration Architecture (ETL, APIs, Web Services)
• MDM Implementation Phases
  • Data Collection and Integration
  • Data Matching and Merging
  • Data Quality Management
  • Data Hierarchy Management
• MDM Deployment and Maintenance
  • Testing, Go-Live, and Support

4. Data Governance and Quality in Oracle MDM

• Data Governance Framework
  • Policies, Procedures, and Standards for Data Management
  • Roles and Responsibilities of Data Stewards
• Data Quality Management
  • Data Profiling, Cleansing, and Standardization
  • Handling Data Duplicates and Errors
• Data Security and Compliance
  • Managing Data Privacy and Regulatory Compliance
  • Role-based Security in Oracle MDM

5. Oracle MDM Data Modeling and Metadata Management

• Master Data Modeling
  • Entity Types and Relationships
  • Data Attributes and Hierarchies
• Metadata Management
  • Importance of Metadata in MDM
  • Managing Business and Technical Metadata
• Creating and Managing Data Models in Oracle MDM

6. Oracle MDM Integration and Data Synchronization

• MDM Integration with Other Systems
  • Integrating with ERP, CRM, and other business systems
  • Oracle Data Integrator (ODI) for ETL processes
• Real-time Data Synchronization and Updates
  • Batch vs. Real-time Integration
  • Data Push and Pull Techniques
• Oracle MDM Web Services and APIs
  • API-driven Integrations
  • Using SOAP, REST for integration

7. Data Matching and Deduplication

• Data Matching Algorithms in Oracle MDM
  • Exact Matching, Fuzzy Matching, and Rule-based Matching
  • Advanced Matching Techniques (Machine Learning, AI)
• Data Deduplication
  • Resolving Duplicates and Conflicting Data
  • Using Data Quality Services for Deduplication

8. Data Stewardship and Workflow Management

• Role of Data Stewardship in MDM
  • Managing Data Ownership, Accountability, and Quality
• Workflow Management in Oracle MDM
  • Configuring Workflows for Data Review and Approval
  • Data Change Requests and Approval Processes
• Audit and Monitoring
  • Data Auditing and Change Tracking
  • Monitoring MDM System Health and Performance

9. Master Data Governance and Security

• Governance Policies and Best Practices
  • Data Governance Tools in Oracle MDM
  • Developing and Enforcing Data Governance Policies
• Data Security in MDM
  • Security Models in Oracle MDM
  • User Roles and Permissions
  • Access Control and Data Masking

10. Advanced Topics in Oracle MDM

• MDM in the Cloud
  • Oracle Cloud MDM and Integration with Cloud Applications
  • Benefits and Challenges of Cloud-based MDM
• Oracle MDM and Big Data
  • Managing Big Data and Unstructured Data in MDM
  • Data Lakes and MDM Integration
• AI and Machine Learning in MDM
  • Leveraging AI for Data Matching, Data Cleansing, and Data Governance

11. Case Studies and Real-world Examples

• Industry-specific MDM Applications
  • MDM for Healthcare, Retail, Finance, and Manufacturing
• Oracle MDM Use Cases
  • Implementing MDM in large organizations
  • Lessons learned and best practices

12. MDM Reporting and Analytics

• MDM Dashboards and Reporting
  • Configuring Reports for Data Quality, Matching, and Governance
• Business Intelligence Integration
  • Integrating MDM data with BI tools (Oracle BI, Tableau, etc.)

13. Troubleshooting and Best Practices

• Common Issues in MDM Implementations
  • Data Quality Challenges
  • Integration and Synchronization Problems
• Best Practices for Managing Master Data
  • Defining Effective Data Governance
  • Maintaining Data Accuracy and Consistency
  • Continuous Improvement in MDM