TL;DR Microsoft Excel Sync You can now connect Microsoft Excel files directly to Go Fig. If you're already working in Excel, this is the fastest way to get your data into Go Fig for reporting and analysis. How it works: This is perfect for teams who maintain data in spreadsheets but want more powerful visualization […]

TL;DR Connect Your Own Data Warehouse Customers can now connect their own data warehouses and combine data across multiple sources seamlessly. What's new: This is perfect for organizations with data spread across multiple systems who want unified reporting. Favorites & Pinning Finding your most important reports and data just got easier. How it helps: Questions […]

Comprehensive guide to successfully designing an AI agent for Data Analysis with LLM reasoning for your organization

Ever started working on a project with data in an Excel spreadsheet only to find the data is out of date? Spreadsheets are the go-to tool for Finance teams to perform analytics, financial modeling and forecasting. But data that is out of sync with the latest information is a major limitation on the value of […]

Learn how to combine spreadsheet flexibility with data science power. Stop manual data updates and get real-time insights without coding

Implementing automation or version control into spreadsheets not only saves time, but also allows for better decision making

Let's have an honest conversation about SaaS in . It's a highly saturated market with fierce competition, and everyone is yelling the same things about how their AI is the better than the competition. Many companies are seeing growth begin to stall while others seem to keep scaling sustainably. This divide exists even in mature […]

The yield curve inversion continuing to re-invert and the threat of broad tariffs are mounting an increasing amount of uncertainty for companies across virtually every industry. During a similarly uncertain time at Capital One in 2015, we were so prepared for a potential recession that we had a strong confidence a recession would make us […]

Data cleaning is the essential process of identifying and correcting errors and inconsistencies in your datasets prior to analysis.

Data isn’t just numbers - it’s a revealing story about how the company is currently performing--the starting point for making a real impact.

Typical costs for building out a data warehouse and architecture are upwards of $500k-$1M per year. Go Fig changes that, by enabling companies to bring their data warehouse, ETL and visualization solutions all in one stupidly simple platform for a fraction of the price.

Businesses that monitor key performance are able to manage operations and react to past issues. But its leaders who are also proactively digging deeper who identify new opportunities: a new product, better customer experience, more optimal pricing strategy or better efficient cost management.