The 5 Levels of Customer Data Management
Join us for an informative session aimed at demystifying the world of data management. We’ll explore the basic principles of data quality and its practical implications.
We’ll start by defining what makes data good or bad, using straightforward examples to illustrate key concepts. From there, we’ll discuss essential steps for managing data effectively, including establishing governance frameworks and validation processes.
Drawing from real-world experiences, we’ll delve into common challenges faced in data management and share practical tips for overcoming them. Additionally, we’ll discuss the importance of using different levels of data granularity and when to apply them in various scenarios.
Finally, we’ll open the floor to your questions, encouraging an interactive discussion where you can share your experiences and learn from others in the field.
Join us for an engaging session that aims to equip you with actionable insights for navigating the complexities of data management.
Learning Objectives:
- Understand the fundamental principles of data quality and distinguish between good and bad data.
- Explore real-world challenges and opportunities in data management, and identify strategies for overcoming common obstacles.
- Learn practical strategies for establishing effective data management practices, including governance frameworks and validation processes.
Speaker: Conor Doyle
Type: Fast Chat
Primary Product: Dynamics 365 CE/CRM
Track: Data
