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

Can your BI tool let stakeholders service their own organizational needs?

We hosted a webinar with dbt to unpack semantics layers. Here's the recap!

Ad hoc reporting & analysis is a process of investigating one-off questions that don’t already exist in a dashboard.

You don’t have time to build bespoke ETL solutions for all your company’s specialized tools. Save your team time, use a long-tail ETL Connector.

Data integrity is the process of keeping data accurate, complete, and secure. Learn how data integrity builds trust in your data.

Learn how embedded analytics can be an important tool in scaling analyst-vetted data across your organization.

The Analytics Manager at Imperfect Foods talks to us about the impact of their new centralized data team structure and how they're scaling data with stakeholders. 

Excel spreadsheets mostly do the job—until they don't. Today's analysts need solutions for the big data era and features that support data exploration.

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.

Here's an update on Mode's partnerships that will ultimately help improve data quality and usability in the modern data stack.

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

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.