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From "What Happened?" to "Why?" - AI Analytics Built for Marketers | Spotter

Are your marketing dashboards telling you what happened—but never why? Campaigns are underperforming, budgets are under scrutiny, and every answer seems to require a ticket to the data team. ThoughtSpot CMO, Micheline Nijmeh, just went hands-on with Spotter—the AI analyst built for marketers who need answers now, not next sprint. Spotter doesn’t just chat. It investigates your toughest marketing questions so you can move from guesswork to confidence: Why did pipeline drop this week?

Leveraging ThoughtSpot for Managing Complex Joins

Stop manually wrangling data and start automating your governance. In this technical deep-dive, we explore how to leverage ThoughtSpot Modeling Language (TML) to manage complex joins and enforce strict business rules at the architectural level. Traditional UI joins are great, but sometimes you need to ensure end-users only interact with a specific subset of data—like active subscribers—without giving them the ability to toggle filters. By moving your logic into TML, you create a "Join with Filters" that hardcodes business rules directly into your data model.

Sensitive Data in Business Analytics: On-Prem Hosting With Analytics That Doesn't Break User Flow

Executives sometimes seem to want two things at once. Fast answers inside operational tools, and strict control over sensitive data in business analytics. The problem is friction. Many security controls add prompts, delays, and blocked screens. Users work around them or develop “muscle memory” where they click a button without fully taking in the meaning of the text they see - or have not consciously seen. If you cast your mind back, does that seem familiar to you?

How to Automate Data Quality for AI and Analytics with Snowflake and Anomalo

Join Anomalo’s Jonathan Karon to learn how organizations implement automated data quality natively within Snowflake to: Securely govern structured tables and unstructured documents for AI-readiness Leverage Snowflake Native Apps and Snowpark Container Services so data never leaves your environment Detect 80% of data issues automatically without manual rules Standardize quality across all data types so BI tools and AI agents can safely operate and trace decisions.

Instant Enterprise Insights With Snowflake Intelligence

Learn how business leaders use Snowflake Intelligence to eliminate operational lag and turn fragmented data into confident decisions at enterprise speed. Snowflake chief revenue officer Mike Gannon shows how a single intelligent agent delivers trusted, multi modal analysis across emails, documents, spreadsheets, images, video, and more. See how Snowflake Intelligence uncovers the why behind critical moments, accelerates revenue and pipeline insight, and keeps every query secure and governed within your existing framework.

Snowflake Ventures On Accelerating Startups In The AI Data Cloud

In this interview, Stefan Williams, VP of Corporate Development, shares Snowflake Ventures’ top priorities and why the pace of innovation across the AI Data Cloud matters for startups. Learn how native platform capabilities, including Cortex Search, Cortex Analyst, and the Cortex REST API, help reduce complexity and unlock faster innovation. The Snowflake ecosystem is where startups gain secure, trusted access to data and the opportunity to work with some of the world’s largest customers.

When the CEO Asks the Hard Question, Spotter Delivers the Answer-and the Plan

Your CEO asks: "What drove growth in 2025—and where should we invest next year?" Spotter has you covered. In the fast-paced world of data analytics, the biggest pain point is the "wait time" between asking a question and getting a real answer. Traditionally, a request like this would trigger weeks of manual data wrangling and dashboard backlogs. Spotter doesn't just answer the question, it delivers thoughtful analysis with a roadmap of what to do next. Watch how this agentic teammate delivers.