Units
1. Artificial Intelligence and Business-IT Bridge in MIS 2. Requirements Analysis and Analysis of Stakeholder Needs 3. Data Modeling, Data Dictionary and Enterprise Data Architecture 4. Business Intelligence (BI), Reporting and Metrics Design 5. Process Automation: Combination of RPA and Artificial Intelligence 6. Artificial Intelligence in ERP Integration and Corporate Processes 7. CRM, Customer Data and Analytics 8. Dashboard Design and Data Visualization 9. No-code / Low-code Platforms and Artificial Intelligence 10. Data Governance, Quality and Master Data Management 11. Data Security, Privacy, Ethics and Responsible Practice
Unit 10 / 11

Data Governance, Quality and Master Data Management

Gains:

  • Ability to explain the concepts of data governance, data ownership, data quality dimensions and master data management (MDM).
  • Ability to draft data quality rules, data catalog and lineage documents with artificial intelligence support
  • Ability to apply the discipline of validating AI-powered data quality recommendations with business context and ownership confirmation
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