Program Overview
Master Data Management is a 5-day immersive program designed for mid-senior professionals to master the principles and practices of MDM. Delivered by an industry expert with 25+ years of experience, the course combines strategic insights, real-world examples, and hands-on exercises to address challenges like data silos, governance gaps, and quality issues. Participants will learn advanced techniques, including AI/ML applications, to drive operational efficiency, enhance decision-making, and build a sustainable MDM framework tailored to their organization’s needs. This program emphasizes actionable solutions to resolve real-world data challenges effectively.
Features
- Master MDM frameworks and tools for practical application.
- Develop actionable solutions for their organization’s MDM challenges.
- Drive improved decision-making and operational efficiency.
- Gain confidence in leading MDM initiatives aligned with strategic goals.
Target audiences
- Mid-senior data management professional, IT Managers, Business Analysts, and Operations Leaders
Curriculum
- 6 Sections
- 27 Lessons
- 5 Days
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- Fundamentals of MDM8
- 1.1Master Data and Its Importance for Businesses
- 1.2Key Concepts: Metadata, Data Lineage, and the Golden Record
- 1.3MDM in Strategic Decision-Making
- 1.4Centralized, Federated, and Hybrid Architectures
- 1.5Core Components: Data Integration, Governance, and Quality
- 1.6Overview of Data Governance Council and Roles
- 1.7Case Studies: Retail, Automotive, and Healthcare
- 1.8Discussion: How MDM Failures Affect Business Outcomes
- Data Governance and Quality Management4
- Advanced MDM Techniques6
- 2.1Cognitive Matching, Anomaly Detection, and Data Enrichment
- 2.2Real-Time Synchronization and Predictive Analytics
- 2.3Overview: Informatica, SAP Master Data Governance, Talend
- 2.4Interactive Demo of AI-Driven Data Management Tools
- 2.5Success Stories: High-Tech, Oil & Gas, and Retail
- 2.6Open Discussion: Lessons Learned and Key Takeaways
- Implementing MDM6
- 3.1Designing an MDM Strategy: Data Profiling, Cleansing, Consolidation, and Governance Setup.
- 3.2Interactive Group Activity: Develop a Mock MDM Framework
- 3.3Addressing Data Silos, Redundancy, and Integration Issues
- 3.4Problem Solving Exercise: Resolving a Data Crisis10 Minutes0 Questions
- 3.5Training Teams on MDM Processes10 Minutes0 Questions
- 3.6Best Practices for Stakeholder Engagement10 Minutes0 Questions
- Sustaining MDM Excellence4
- Capstone Project and Feedback2
Instructor
