The 85% Problem: Why Your Finance Team Spends Most of Their Time Not Doing Finance

Here's a statistic that should concern every CFO: according to 2024 research from Accenture, finance teams spend 85% of their time on data triage-gathering, validating, and reconciling numbers. Only 15% of their time goes to the strategic work they were actually hired to do. If that sounds familiar, you're not alone. The reality is that most CFOs today can't confidently answer a deceptively simple question: "Where did this number come from?".

What Does a Product Analyst Do? (And How to Succeed in the Role)

A product analyst helps teams understand how users interact with a product — and turns that data into decisions that improve growth, retention, and user experience. They sit at the intersection of: Instead of guessing what users want, product analysts rely on behavioral data to guide decisions.

How to Send Shopify Orders to Snowflake with AI-ETL

Every Monday morning, e-commerce analysts face the same frustrating ritual: export CSVs from Shopify, merge them in spreadsheets, clean the data, and pray nothing breaks before the weekly revenue meeting. This manual process wastes hours weekly per analyst while delivering insights that are already days old. Meanwhile, your competitors make real-time decisions based on live data flowing automatically into their analytics platforms.

How to Build SLAs for Real-Time Dashboards with AI-ETL

Your executive dashboard shows yesterday's data while your competitors make decisions with information that's minutes old. This gap isn't just an inconvenience—it's a competitive disadvantage costing businesses millions in missed opportunities, delayed responses, and stale insights. Service Level Agreements (SLAs) for real-time dashboards solve this problem by establishing measurable commitments for data freshness, accuracy, and availability.

Snow Report: What's Happening At Snowflake in January

Ryan Green kicks off the new year with the latest updates across Snowflake and the AI Data Cloud. Learn about three Snowflake capabilities now generally available, including Interactive Analytics on AWS, Snowpark Connect for Apache Spark, and next-generation Snowpipe Streaming across AWS, Azure, and GCP.

Syncing Google Sheets with Analyst Studio for Enhanced BI Insights

- Struggling to manage large datasets in Google Sheets while trying to run high-level BI initiatives? In this video, we demonstrate how to seamlessly bridge the gap between your Google Drive and ThoughtSpot using Analyst Studio. We walk you through the entire end-to-end workflow: from connecting a Google Sheet via URL to building a data model and visualizing your insights in real-time. Learn how to automate your data pipeline so that every update in your spreadsheet—like changing a client’s industry or adding new leads—reflects instantly in your ThoughtSpot Liveboards.

Master Muze Charts - An Introductory Guide

Go beyond standard dashboards with Muze, the data visualization library that brings a "grammar of graphics" approach directly into ThoughtSpot. Starting in version 10.15, Muze is available as a native chart option, allowing you to build highly interactive, code-level visualizations without leaving your browser. What’s Covered: Whether you are looking to learn the technical side of custom visualizations or want to see the platform in action, we have the resources to help you succeed.