More than numbers.
The art of making data count

Today we released the ultimate guide to dbt - a one-stop-shop for anyone hoping to learn what the dbt hype is about, pick up some curated tips from experts, or anything in between. You can see the guide here. The guide is best viewed on your desktop. If you're on

On April 9, 2020, I published an essay called "Dashboards are Dead". I wrote it largely to vent my pent-up frustrations as a data analyst, and to take on the most popular data tool at the time: the dashboard. To my surprise, a lot of people read it. Over 60,

The one-stop shop for all your data hiring needs. Today we launched the ultimate guide to hiring your data team - a labor of love, research, and collaboration to bring together the best insights and wisdom around hiring a great data team.   See the guide here. What makes hiring difficult?

Google’s Looker is one of the stalwarts of the analytics space, providing functional dashboards and drag-and-drop self-service on high quality data models for over a decade. However, there are significant challenges using Looker to deliver the type of rapid, exploratory analysis coveted by top data teams today. As we

Tableau has been the defacto analytics front end for people looking to deliver beautiful dashboards for over a decade, and for good reason. However, many feel it’s become overly complex and cumbersome for the type of rapid, exploratory analysis favored by top data teams today. As the 2020s are

Phillip van Blerk is the passionate Head of Data and Analytics at Omnipresent, a series B startup that offers compliance, payroll and benefits options to hire people anywhere on Earth. He recently sat with Count Chief Evangelist Mico Yuk to share their journey towards a strong data-led culture at Omnipresent,

Regardless of where your database resides, keeping track of what is happening in the database has long been a challenge for most database administrators, database developers, and business intelligence architects.  Databases grow and change over time, which led to the rise of INFORMATION_SCHEMA as part of the ANSI SQL

In February I (attempted) to predict the data trends of 2022 [https://blog.count.co/how-data-analytics-will-change-in-2022/]. Now that 2022 is rapidly coming to a close, it's time to see just how well those predictions fared. My Predictions Graded Going for a very American A-F grading scale in which A is

Long before I got into data, I had another love. One I've never been able to let go of. Like data, it satisfied my need to have things ordered and was focused on using that organization to uncover patterns and influence change. This was the field of Systems Engineering [https:

When people describe Count, they typically do so in terms of familiar functionality: While those descriptions are helpful (and entertaining) they are less effective in articulating what you actually do with this feature mash-up, and how it works in combination with other tools in your data stack. Count and the

Gathering requirements for a data project is both painful and essential. But there are ways to make it easier…

Building a canvas can seem easy enough, but like everything in the world of data, it can quickly get out of hand. Bouncing between ideas, changing data and shifting requirements can derail any project. Let’s make your next canvas a success with this step-by-step guide based on an actual