Often spending hours in cleaning datasets, validating calculations, and exploring patterns.

We build models, run analyses, and create dashboards, but even the most accurate work can get lost if it’s not easy for others to understand.

A model might highlight users likely to take certain actions, or a forecast might reveal emerging trends, but unless the insights are clear and connected to decisions, they rarely make a real impact.

I’d love to hear from the community: how do you make sure your analysis is both accurate and practical, so it actually helps people make decisions?

There are moments when the work we do as data professionals truly shines when a predictive model gives a business the insight it needed at just the right time.

Have you had one of those moments?

Maybe you helped a company reduce churn by identifying at-risk users

Or maybe your demand forecast helped a team avoid overstocking, or you flagged suspicious transactions before they became a real issue.

We’d love to hear your story – what was the challenge, how did you approach it, what kind of model or method did you use, and what changed as a result?
These are the kinds of real-world examples that show how much impact good data work can have.

Snowflake recently announced Cortex, their LLM for unstructured data/questions/copilot/assistant. I was at Snowflake Summit earlier this month and came across a lot of AI tools for data teams similar to Cortex, like Secoda, Glean, Gemini, dbt’s AI and a bunch more. I want to know how people are actually using AI in their data workflow.

Has anyone implemented AI for their data/analytics teams? What tools are you using? Where in your workflows are you using AI? Is this all hype??

Snowflake recently announced Cortex, their LLM for unstructured data/questions/copilot/assistant. I was at Snowflake Summit earlier this month and came across a lot of AI tools for data teams similar to Cortex, like Secoda, Glean, Gemini, dbt’s AI and a bunch more. I want to know how people are actually using AI in their data workflow.Has anyone implemented AI for their data/analytics teams? What tools are you using? Where in your workflows are you using AI? Is this all hype??