Best practices

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.

Enterprise analytics consolidates data from across your organization to reveal strategic insights that drive growth. Learn more about how to get started and the role of AI.

Finding and sharing true insights is hard: legacy BI was not designed for deep exploration while data teams struggle to hire a balance of technically proficient and business-savvy individuals. New technology, platforms and AI are changing the game.

A great SQL IDE is a must-have for data practitioners of all levels. In this post, we talk about all the best IDEs, their pros and cons and which to consider based on your needs.