This article takes a deep dive into user segmentation, covering what it is, why it's important, the different types of segmentation, real-world examples, and how to put it into action. User segmentation is not just a buzzword; it's a strategic approach that can transform the way your business connects with its customers. Let's see why it's such a game-changer.

While most businesses are actively investing in technology to derive the utmost value from their data, research by McKinsey shows that 72 percent of organizations still struggle to manage data. This emphasizes the importance of choosing the right analytical solution as it enables you to make real-time decisions.

If you have chosen Domo as your analytics platform of choice and found out that it is not meeting your unique needs, it's time to look for other alternatives.

This article will break down the top challenges users face with Domo and list some of the best Domo alternatives in the market that can help you get the most value out of your business.

Data has become an integral part of daily operations for every organization. Many businesses often don't fully grasp the importance of their data structure. However, the truth is the way you structure and organize your data is key to solving your business problems, regardless of the technology you use. That makes data modeling a crucial activity for finding solutions to business challenges.

In this article, we’ve picked the best SQL query builders that empower business users to explore and interact with data—without spending hours coding. But first, let’s understand the different features and capabilities you should consider before adopting any query builder.

The data landscape has become quite complex in recent years. With data coming from an ever increasing number of sources in greater volume than ever before (with no signs of slowing down), it is easy to lose your way.

Mode’s connector to the dbt Semantic Layer is now available! Now data enthusiasts can define metrics and business logic in one place and have that information flow to business teams.

Use these financial ratio dashboards to get glimpses of your company's financial standing.

Self-service analytics gives business leaders in sales, marketing, customer support, and product the data they need to hit their key metrics.

A closer look at behavioral segmentation.

A note from our founders on how Mode’s journey led to an acquisition by ThoughtSpot.

ThoughtSpot is acquiring Mode. The visionary AI-powered analytics platform and the modern business intelligence platform loved by data teams are joining forces to define the next generation of collaborative BI.

Learn how Mode's Copy & Paste Visualizations will help both data teams and business teams save time by creating and recreating content more efficiently.

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.”

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.