Learn about the pros and cons of Tableau for analysts, and how Mode compares.

Learn the pricing for each tier of Tableau, and why the platform imposes hidden costs on you if you need robust data extraction and analytics capabilities.

With the current volatile economic climate, we're looking back at how Patreon's data team helped the company prioritize goals in the uncertain conditions of 2020.

Here's how Domain’s data team activated "data heroes," for better self-serve.

Learn from data leaders at Notion, Y Combinator, Balanced, and Bento on how small data teams can make big impacts at their organizations through prioritization and focus in this panel discussion recap.

Here’s the data governance framework to adopt for scaling your data efforts.

With DuckDB, Mode’s platform performance is faster and more scalable. Here’s the story of how our engineering team made the migration to the new database seamless for our users.

Here are examples of advanced analytics and how they can result in some of the most important decisions for a business.

Agile analytics gives both data teams and business teams more success.

Datasets are curated, reusable tables of data that power self-serve reporting and data exploration. They're now available to all organizations in Mode.

Learn about our new updates that continue to give teams more control over customizing their reports and visualizations.

See what's new with our visualizations, functions for analyst team efficiency and more.

Our dbt Integration and Datasets features both ensure that folks are using the right metrics across your org—but have different use cases and strengths.

Learn about the strengths and differences of Tableau, Looker, and ...ourselves—Mode, by how we see everyone's position in the market.

“It was clear to me that digital natives are using Mode to provide BI today in a way that the rest of the world would tomorrow.”

Having an inclusive culture and diverse team is important to us at Mode. Here are our latest diversity numbers.

Welcome to the new Mode.

Datasets power data exploration and self-service reporting for every team.

A violin plot is a hybrid of a box plot & a kernel density plot, which shows peaks in the data. Learn the various types & discover tools to create your own.

For new R coders, CRAN’s repository may seem overwhelming. Here’s an overview of 9 useful interdisciplinary R data visualization packages to get you started.

This list is an overview of 10 interdisciplinary Python data visualization libraries including matplotlib, Seaborn, Plotly, Bokeh, pygal, geoplotlib, & more.

We're featuring 12 of our favorite ggplot2 extensions, to help you add more power and polish to your ggplots—or just to make them easier to create.

Usage data is like gold for software development teams. Software companies are constantly analyzing user behavior to create valuable insight for decision-making and feature development. But the data generated by users isn't only valuable to the company whose products are being used; it can be valuable to the users themselves.

Now, before going back to the analyst to ask your next big game-changing question, you can answer more of the simple stuff on your own—right in the Mode report they've shared with you. Here's how it works.

Analysts and product teams now work together to build White-Label Embeds that solve all sorts of data delivery use cases. Most commonly, they use Mode to power in-app User Stats pages. We've used it for this exact purpose in our product, too.

The applications of color theory in business are vast. One of the most useful applications of color theory is the visualization and presentation of data.

Colors are key to understanding data visualizations. They represent your data and guide people through charts and dashboards, making them easier to digest. Colors also represent your brand, providing a recognizable look and feel to everything your company produces.