Best practices

Leveraging AI for BI requires an entirely new way of thinking of analytics. In this article we explore merits of AI-native BI, how it differs from legacy BI, and the current best AI business intelligence tools.

Learn how to prepare your data for AI analysis based on user expertise levels, from technical data professionals to non-technical executives, and discover how AI itself can accelerate data preparation.

Google Colab isn't built for teams. Discover better alternatives for collaborative data science, from traditional notebooks to AI-powered notebooks.

Pros and cons of staying on Google Sheets and how to leverage AI to build scalable, custom Google Sheets dashboards.

The key to success for a product team is having the right data to make decisions. In this post we explore a started product analytics tool stack and what a unified analytics stack looks like.

Increasing customer retention is one of the highest ROI go-to-market activities you can do. Here's a step-by-step guide on creating a churn risk alerting system with SQL, Python, AI and email.

AI is ushering a new era of augmented analytics. Data leaders and executives across industries need to consider how they're using augmented analytics to make better, faster, real-time decisions.