How to Define Data Domains

Rya Sciban, Head of Product at Select Star, discusses best practices for organizing data to enhance data discovery and governance, drawing from her experiences at Select Star, Affinity, and Sisense. She emphasizes the importance of defining data domains, which are essential for creating a structured data management framework that facilitates ease of access, efficiency, and compliance with regulatory requirements. Data domains can be categorized by business functions, technologies, or products, each with its own advantages and challenges. The use of tags and collections further enhances data organization, with tags indicating data categories and status, and collections allowing for flexible grouping of related data assets. Properly aligning data domains with permissions, documenting domains, and using hierarchical structures are recommended to ensure discoverability and effective data usage. The approach to defining data domains should align with organizational goals and maturity, with the potential need for a hybrid or iterative strategy to remain relevant amidst evolving business and technological landscapes.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.