From Raw Data to Strategy #OnTheSpot in Under 3 Minutes

"I’ve worked in the analytics industry for 25 years... this thing makes me as powerful as any analyst I’ve ever met." When ThoughtSpot’s Tony Hammond handed a raw dataset to Spotter, our agentic AI analyst, he wasn't just running a demo—he was witnessing a with a complete transformation of the analytics workflow.

A New Way to Run Pipeline Analysis #OnTheSpot

Jeffry Cape, our Senior GTM Enablement Manager, asked Spotter: "Look at our early stage pipeline generation performance from the dates of Shark Week in November and share what some of the best practices are". He wasn’t checking campaign stats—he was rewriting his daily workflow. A dashboard might tell you meetings are “up.” Spotter went further—running a hands-free deep dive on our global Shark Week program and surfacing what actually moves the needle on pipeline progression.

Snowflake Build London Keynote

Tune into the BUILD London Keynote. Hear what’s new from Snowflake - Shared Workspaces and the GA release of Cortex Code to Snowflake Postgres, semantic view autopilot, and interactive workloads for low-latency analytics. See demos across Snowflake ML, including notebooks in Workspaces, model registry, and online inference, plus how Cortex Agents API and Snowflake Intelligence help teams build trusted agent apps. The keynote also covers Snowflake’s partnership with OpenAI and why governance stays central as AI moves from answers to action.

Unifying Snowflake & Apache Iceberg in Logi Symphony via Simba's ODBC Driver

How do you connect Snowflake and Apache Iceberg to embedded analytics without adding complexity? In this video, we demonstrate:→ Setting up the Simba Snowflake ODBC driver via system DSN→ Why pushdown queries matter for performance→ Building governed, reusable metrics in Logi Symphony→ Delivering fast, interactive dashboards on live retail data The result: unified sales and inventory analytics without the ETL pipelines, Python scripts, and custom services that create support headaches.

Focal Systems: Boosting Store Performance with an AI Retail Operating System and Real-Time Data

Every second a product sits out-of-stock on a shelf, revenue quietly drains away. Customers walk out empty-handed, and businesses lose customers as well as valuable insights into what’s actually happening on the floor. At Focal Systems, we have built Shelf AI, a system that continuously “sees” store shelves, detects stockouts, and guides teams to replenish in time—so products are on the shelf when customers need them.

Data and Analytics Trends for 2026

Another year has flown by at breakneck speed. In the data and analytics space, the past year has seen an AI gold rush where BI and analytics solutions raced to offer AI-powered insights to best meet end users’ rising expectations. But despite AI being named the most important trend of the next five years in an insightsoftware survey, it isn’t an exact science as organizations contend with AI projects that fail to launch and the risk of AI hallucinations.

The Multi-Entity CFO's Financial Intelligence Guide

Your finance team wastes 14 days every month on manual consolidation. Your close stretches to 15-25 days. And you're one key person departing from chaos. The brutal math: Your "free" Excel process actually costs $850K+ annually in wasted time, errors, and missed opportunities. Meanwhile, leading multi-entity CFOs just cut their close time by 80% and freed their teams for strategic work instead of reconciliation hell.