Snowflake BI Estate Diagnostic PRD — Problem statement

Problem statement

Many Snowflake customers still rely heavily on legacy BI tools such as Power BI, Tableau, Qlik, SSRS, and Excel exports. These environments often accumulate dashboard sprawl, duplicated semantic logic, expensive extracts, slow live queries, and unclear ownership.

At the same time, Snowflake is increasingly positioning itself as more than a warehouse: Streamlit in Snowflake, Cortex Analyst, Semantic Views, Dynamic Tables, Snowflake Native Apps, and governed data products all create new consumption patterns. But most companies do not know which existing BI assets should move, stay, be retired, be optimised, or become Snowflake-native applications.

The result is a modernisation gap: companies want better analytics products, lower cost, and AI-ready semantic foundations, but lack an evidence-based way to prioritise the BI estate.

Back to [[Snowflake BI Estate Diagnostic PRD]].