In today’s data-driven enterprises, achieving a unified, 360-degree view of key entities—such as customers, vendors, and partners—is essential for driving intelligent decision-making, operational efficiency, and personalized experiences. This workshop explores the strategic role of data modeling as a foundational enabler of these outcomes.Rather than focusing on specific tools or platforms, this session emphasizes conceptual and logical modeling techniques that transcend technology stacks. Participants will learn how to design models that align with business objectives, support data governance, and enable scalable integration across domains.Whether you’re a data architect, business analyst, or data product owner, this session will equip you with the strategic mindset and modeling patterns needed to build resilient, business-aligned data ecosystems.

LEARNING OBJECTIVES

1. Understand the strategic value of data modeling in enabling 360-degree views and enterprise data initiatives.

2. Differentiate between conceptual, logical, and physical data models, and identify when to use each.

3. Collaborate effectively across business and technical teams to ensure models reflect real-world semantics and priorities.

4. Evaluate data modeling decisions in the context of data governance, quality, and integration.