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Oracle Sales Cloud: Customer Data Management Course Overview

Oracle Sales Cloud: Customer Data Management Course Overview

The Oracle Sales Cloud: Customer Data Management course provides an in-depth look at the strategies and tools needed to maintain high-quality customer data within the Oracle Sales Cloud. It is designed for IT professionals, data stewards, and administrators who want to ensure that their organization's customer data is managed effectively.

Module 1 offers a foundational understanding of master data management and how to maintain data integrity through governance, cleansing, deduplication, and data enrichment. It introduces the party model, which is crucial for understanding customer relationships and hierarchies.

Module 2 dives into the technical architecture of Oracle's data management services, including the Oracle Enterprise Data Quality (EDQ) Cloud Service, Data and Insight Cloud Service (DaaS), and Address Verification Cloud Service (AV). Learners will understand the installation and configuration options available.

Module 3 focuses on the practical tasks and processing steps such as address cleansing, duplicate identification, and the management of Personally Identifiable Information (PII).

Lastly, Module 4 teaches how to monitor and maintain data quality through viewing profile histories and auditing configurations.

By completing the course, learners will gain valuable skills in managing and enhancing customer data, leading to improved customer relationships and business outcomes.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 24 Hours)
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Course Prerequisites

To ensure you have a solid foundation and can successfully undertake training in the Oracle Sales Cloud: Customer Data Management course, the following prerequisites are recommended:


  • Basic understanding of Customer Relationship Management (CRM) concepts.
  • Familiarity with data management and data governance principles.
  • Awareness of data quality challenges and the importance of data cleansing, validation, and standardization.
  • Some experience with databases or data management tools is helpful, though not mandatory.
  • An understanding of simple IT concepts and terminology to grasp technical aspects of the course.
  • Ability to navigate computer systems and software applications.
  • Interest in learning about Oracle Sales Cloud and its data management capabilities.

Please note that while prior experience with Oracle products is beneficial, it is not a strict requirement for this course. The training is designed to introduce you to the necessary concepts and tools within the Oracle ecosystem.


Target Audience for Oracle Sales Cloud: Customer Data Management

The Oracle Sales Cloud: Customer Data Management course is designed for professionals dealing with data quality, governance, and enrichment within the Oracle ecosystem.


  • Data Analysts and Data Scientists
  • Customer Relationship Managers (CRM)
  • Sales Operations Managers
  • IT Professionals responsible for data management systems
  • Database Administrators (DBAs)
  • Master Data Management (MDM) Specialists
  • Data Governance Officers
  • Oracle Sales Cloud Administrators
  • Enterprise Architects
  • Business Intelligence (BI) Analysts
  • Sales and Marketing Technology Managers
  • Data Quality Managers
  • Solution Architects and Consultants specializing in Oracle products
  • Compliance and Risk Management Officers dealing with PII data management


Learning Objectives - What you will Learn in this Oracle Sales Cloud: Customer Data Management?

Introduction to Learning Outcomes

This Oracle Sales Cloud: Customer Data Management course equips learners with the skills to maintain high-quality customer data, ensuring efficient data governance and enrichment within the Oracle Cloud ecosystem.

Learning Objectives and Outcomes

  • Understand the principles of master data management and governance to maintain data integrity.
  • Learn the key aspects of customer data management and how it influences business processes.
  • Gain proficiency in data cleansing, validation, and standardization to ensure data quality.
  • Master the techniques for identifying and resolving duplicate data entries to prevent data redundancy.
  • Acquire the skills for data enrichment to enhance the value of customer data.
  • Comprehend the party model and its importance in managing customer relationships.
  • Explore the architecture of Oracle Enterprise Data Quality (EDQ) Cloud Service for data management.
  • Learn to use the Oracle Data and Insight Cloud Service (DaaS) for comprehensive data insights.
  • Understand the configuration and application of Address Verification Cloud Service (AV) for accurate location data.
  • Develop skills to monitor, audit, and maintain data quality to support organizational decision-making processes.