Oracle Customer Data Management Cloud Training
Oracle Customer Data Management (CDM) Cloud is part of Oracle’s suite of cloud-based applications designed to help businesses manage their customer data more effectively. It ensures that organizations have a single, trusted view of customer data, which can improve customer experiences, streamline operations, and enhance data governance.
Why should you choose Nisa For Oracle Customer Data Management Cloud 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 Customer Data Management Cloud Course, 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 Customer Data Management Cloud Training
Duration: 25 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 :
Module 1: Introduction to Oracle Customer Data Management (CDM)
- Overview of Oracle CDM Cloud
- Introduction to Oracle Cloud Applications
- Role of Customer Data Management in Cloud applications
- Benefits of Oracle CDM in the enterprise ecosystem
- Key Concepts and Terminology
- Data Management Terminology: Entities, Data Governance, Cleansing, etc.
- Understanding Data Quality, Data Stewardship, and Data Integration
- Oracle CDM Cloud Architecture
- Architecture overview of Oracle CDM
- Components and modules within Oracle CDM Cloud
- Integration with other Oracle Cloud modules (like Oracle Sales Cloud, Oracle Service Cloud, etc.)
Module 2: Managing Customer Data
- Customer Data Model
- Introduction to the Customer Data Model and its importance
- Configuring and customizing the data model for customer data
- Customer Data Import and Export
- Importing data from external sources
- Using data import templates and tools
- Exporting customer data to other systems
- Creating and Managing Customer Records
- Creating customer records (accounts, contacts, leads, etc.)
- Updating and maintaining customer data
- Merging duplicate customer records
- Managing data access and privacy
- Data Cleansing and Standardization
- Data quality management
- Cleansing and deduplication techniques
- Using Oracle CDM for real-time data enrichment
Module 3: Data Governance and Compliance
- Data Governance Framework
- Defining data governance policies
- Role of data stewards and data owners
- Maintaining data consistency across systems
- Customer Data Privacy and Compliance
- Understanding GDPR and other compliance requirements
- Managing data retention, access, and security
- Oracle tools and features for compliance management
Module 4: Integration with Other Oracle Cloud Applications
- Integration with Oracle Sales Cloud
- Synchronizing customer data across sales processes
- Leveraging data for marketing and sales teams
- Integration with Oracle Service Cloud
- Enabling customer service teams with up-to-date customer data
- Handling service requests, cases, and interactions effectively
- Integration with Other Oracle Modules
- Data exchange with Oracle ERP, Oracle Marketing Cloud, and other modules
- Using APIs for data integration
Module 5: Advanced Features and Configurations
- Advanced Data Matching and Deduplication
- Setting up advanced matching rules for customer data
- Customizing deduplication logic
- Creating rules for different customer data types (contacts, leads, accounts)
- Data Enrichment
- Integrating external sources for data enrichment
- Enhancing customer profiles with third-party data
- Using Oracle’s data enrichment tools and services
- Business Rules and Workflows
- Creating and managing business rules for customer data
- Configuring workflows for data approval and validation
- Setting up alerts and notifications for data anomalies
Module 6: Reporting and Analytics
- Creating Reports and Dashboards
- Using Oracle Reporting tools to create customer data reports
- Visualizing and analyzing customer data trends and insights
- Data Analytics
- Running data quality analysis and generating data health reports
- Using analytics to optimize customer management processes
- Identifying data quality issues and reporting them to the team
Module 7: Troubleshooting and Best Practices
- Troubleshooting Common Issues
- Identifying and resolving data discrepancies
- Resolving integration and data sync issues
- Troubleshooting data import and export issues
- Best Practices for Data Management
- Maintaining high-quality customer data
- Best practices for ensuring data integrity and governance
- Continuous improvement of data quality and data management processes
Module 8: Preparing for Implementation
- Planning for Oracle CDM Implementation
- Key steps for a successful Oracle CDM implementation
- Stakeholder roles and collaboration
- Timeline and resource management
- Post-Implementation Support
- Maintaining and supporting Oracle CDM Cloud post-deployment
- Data maintenance and optimization strategies
- Continuous monitoring and improvement