We're partnering with dbt from Fishtown Analytics to help users better understand data freshness when viewing reports in Mode.

Our A/B tests might be leading us astray. If we understand and account for the statistical significance filter, we can get more trustworthy results.

Traditional BI tools are great at answering static questions, but not the big-picture questions that direct decisions on what big swings to take in your product roadmap.

Has polling played too big of a role in our elections? And similarly, how much weight should data have in our business decisions?

Analytic functions make Calculated Fields even more powerful by allowing you to calculate metrics based on specified partitions of your data.

The data team at Mode loves SQL. We code it, write about it, and empower people to use it all over the world. In that vein, we thought it would be fun to use some SQL to analyze some SQL.

"We’ve all had to work with simpler tools than we might like from time to time, and I have gotten a lot of mileage out of doing regression analyses directly in SQL."

"Here at Mode, we put a lot of emphasis on writing good, clean SQL. As a collaborative team, it’s important that our queries can be easily read and understood by our teammates."

This new release allows you to create new calculated fields within Explorations that are local to that Exploration and do not impact the underlying report.

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

We're excited to announce that Mode's Senior Manager of Customer Support and Success Operations, Asha Hill, has been recognized for her team’s work in customer support.

Humility is not always celebrated in tech, but it should be.

Our data crew shared datasets that left a lasting impact on them this year and why. We’ve recapped some of the highlights.

Here are the self-reported diversity statistics of our team at the end of Q3 in 2020.

"Consider this a call to my fellow CEOs: let’s acknowledge that politics exist in the workplace. Let’s shape our companies to deliberately produce better outcomes for the world."

Find out where and how.

For new R coders, or anyone looking to hone their R data viz chops, CRAN’s repository may seem like an embarrassment of riches. There are so many data viz packages out there, it’s hard to know where to start. So here's an overview of 9 useful interdisciplinary R data visualization packages.

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.

When we introduced White-Label Embeds about a year ago, our goal was to give people the ability to deliver data to their communities in a way that feels native to their brands and products.

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.