Part 4/12:
The session introduced a comprehensive model for creating and operationalizing data products aligned with business priorities. The process begins with understanding core business needs—be it revenue growth, customer experience enhancement, or supply chain optimization. From there:
Domain-specific Data Foundations: Organizations develop foundational data products tailored to specific domains such as sales, finance, or supply chain.
Adding Business Context: As data flows from left to right in the process, it becomes enriched with business-specific insights, making it more meaningful and immediately usable for analytics and data science teams.