Ad hoc queries required engineering support. Now, models translate plain English to SQL, letting non-technical staff pull insights directly.
An insurance platform enabling brands in health and telecommunications to offer white-label products, with 150 employees requiring direct access to transaction and product data.
Siloed data management practices prevented the organization from scaling access for its workforce or effectively sharing insights with partners....
“Through Snowflake, we have centralized and presented transactional and analytical data from a single source of truth. We have also enabled multiple tools through GPT models and Streamlit so our people can visualize data for decision-making.”
Embedded insurance platform and technology infrastructure for brands.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Waiting weeks for reports forced gut decisions. Now, staff query in plain English and get visualized insights in seconds.
Staff navigated dozens of dashboards to find data. Now, hundreds of users query structured tables in plain English.
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
Manual email drafts took 12 minutes. AI cut this to 1.5 minutes, freeing agents to resolve complex funding and care delays.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.