Welcome to the new Mode.

When you can see your data in new ways, using a highly flexible environment, you can drive insights across an organization in sort of a data ripple effect.

Business Intelligence is changing again. Learn why the new shift is better than ever for the data team, and ultimately the business.

A basic overview of KPIs and the value of KPI reports.

How data teams and stakeholders can work together to define metrics.

Asking the right type of interview questions is essential to finding a great data analyst fit for your team.

Need a checklist to assess your ETL purchase? We got you covered in this buyer's guide.

Automating reports can make data more accessible and businesses more data-driven. Read on for our tips.

The benefits of company-wide KPI dashboards.

Today, we are announcing that our newest foundational feature, Datasets, is now live in open beta.

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.

Gone are the days of worrying about the logic in one report drifting out of date. Here's how our new integration with dbt's semantic layer will ensure trusted, verified metrics.

Mode’s integration allows data teams to automatically extend their dbt work into Mode, ensuring confident data exploration company-wide.

Physical and psychological safety for all of our employees is a non-negotiable for us. Here’s what we’re doing about the overturn of Roe v. Wade.

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

Starting with Visual Explorer, we’re going to walk through ways you can use Mode to explore reports.

With these new releases, you can now see Grand Totals, sort even more granularly, and adjust column widths for better presentation views.

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.