Course on Solid understanding of data governance, data quality, and data modeling

Section 1: Introduction to Data Governance [0.5 hours]

• Define data governance and its importance in retail.

• Overview of key data governance frameworks.

• Role of data governance in decision making at HEMA.

• Introduction to data policies and procedures.

Section 2: Understanding Data Quality [0.5 hours]

• What is data quality and why does it matter?

• Dimensions of data quality (accuracy, consistency, completeness).

• Common data quality issues faced in retail.

• Introduction to data quality management processes.

Section 3: Basics of Data Modeling [0.5 hours]

• Definition and purpose of data modeling.

• Types of data models: conceptual, logical, and physical.

• Introduction to data modeling tools relevant to retail.

• Basic concepts: entities, attributes, and relationships.

Section 4: Integrating Concepts at HEMA [0.5 hours]

• Application of data governance, quality, and modeling at HEMA.

• Understanding customer data management.

• The role of data in enhancing customer experience.

• Strategic use of data for inventory management.

Section 5: Final Review

• Review of key concepts: data governance, quality, modeling.

• Summary of applications in the context of HEMA.

• Future learning directions: advanced data governance and modeling techniques.