This unit examines how connected data, cloud architectures, and master data management enable scalable, personalized customer experiences. Students explore technical building blocks (storage, MDM, data cloud), strategic planning for personalization, and organizational practices needed to operationalize data-driven engagement.
Learning Objectives
- Analyze how connected data, data cloud architectures, and storage choices enable or constrain personalized customer experiences, referencing master data management concepts
- Apply master data management and data storage principles to design a scalable Customer 360 data model and map data flows for a targeted personalization campaign
- Evaluate segmentation approaches and attitude-based personalization strategies to recommend scalable solutions for diverse individuals and business customers
- Demonstrate a plan for building an adaptive, data-governance culture that supports ethical use of customer data and data-driven fan engagement initiatives
Curriculum
- 1 Section
- 10 Lessons
- 30 hours
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- Unit 2 — Data Foundations for Personalization10
- 1.1WITHOUT CONNECTED DATA, PERSONALIZATION ISN’T EASY20 mins
- 1.2PUTTING TOGETHER A STRATEGY20 mins
- 1.3ATTITUDES TOWARD PERSONALIZED EXPERIENCES20 mins
- 1.4THE EMERGENCE OF DATA CLOUD20 mins
- 1.5DATA STORAGE20 mins
- 1.6MASTER DATA MANAGEMENT20 mins
- 1.7THE OTHER 99% OF HUMANS AND BUSINESSES20 mins
- 1.8BUILD AN ADAPTIVE CULTURE20 mins
- 1.9A NEW ERA OF DATA-BASED FAN ENGAGEMENT20 mins
- 1.10NOTES20 mins
Instructor
Free
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