Industry Perspective

Insights & Industry Reading

Selected research and analysis from across the data industry, with our read on what it means for financial organizations.

AI and business intelligence gears driving live dashboards and structured reports

We do not republish other people's work. Each item below links to the original publication, followed by our own perspective on why it matters to the banks, insurers, and financial teams we build for.

Snowflake Article · November 2025

The "Why" Opportunity: From Signals to Action

Snowflake's case for AI-assisted analytics is built on a point we make in every engagement: a number on a dashboard is not an answer. Their Toyota Motor Europe example cut an implementation from months to roughly one month -- but the reason it worked was the groundwork underneath, not the interface on top. Ask any vendor what happens to their AI layer when the underlying metrics disagree with each other.

AI Analytics Case Study Decision Speed
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Snowflake Guide · Evergreen guide

Business Intelligence: Reliable Insights at Scale

The most useful line in this guide is the one about what sits below the dashboard: reliable results depend on the data models, metric definitions, and relationships that decide how a question gets interpreted. That is the whole argument for doing BI properly, and it is why we spend the first phase of a project on definitions rather than visuals. A fast dashboard built on contested numbers is just a faster way to be wrong.

BI Fundamentals Semantic Layer Governance
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