Key Takeaways Starting With Data Readiness The first step wasn’t about dashboards or interfaces. It was about data quality. We ran a complete AI readiness assessment to understand how well our data was labeled, formatted, and cleansed of PII. From there, we built semantic models across major business units and adjusted parts of our data infrastructure toContinue reading “Building Snowflake Intelligence: Lessons From Bringing AI Into the Analytics Stack”
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How I Led My Organization’s Transition to a Cloud Data Warehouse (Snowflake)
When I first took on the challenge of modernizing our data management, our team relied heavily on Power BI’s semantic models. While this setup worked, it wasn’t sustainable. Data was scattered across our ERP, spreadsheets, and various SaaS platforms, and we struggled with long refresh times, manual data maintenance, and limited collaboration. Moving to aContinue reading “How I Led My Organization’s Transition to a Cloud Data Warehouse (Snowflake)”