How the best data teams obsess over context
Blog post from Hex
In the journey toward achieving accurate AI analytics, data teams at companies like Ramp, Underdog, and Hover emphasize the importance of leveraging existing context to ensure trustworthy outcomes. These teams utilize Hex, a platform that helps them activate and manage context already embedded within their systems, such as dbt models, documentation, and stakeholder queries, to foster a continuous feedback loop for improvement. For instance, Ramp uses dbt as a single source of truth and syncs its domain documents with Hex for consistency, while Underdog focuses on activating existing context rather than creating new ones from scratch, utilizing semantic models and feedback loops to refine their analytics. Similarly, Hover prioritizes documenting key tables and columns to enhance the precision of the Hex agent, allowing users across various departments to engage with data more effectively. These strategies illustrate that successful data teams start with what they have, continuously refine their context based on active usage, and leverage platforms like Hex to streamline this process, making analytics more accessible and reliable across their organizations.
No tracked trend matches for this post yet.
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.