Count Blog

Sleepwalking into Obsolescence

The Data Trust Equation

Beyond Metric Trees - Driving Operational Clarity

Metric Trees - Advice and Best Practice

Metric Trees - Building a Metric Tree Live

Metric Trees - An Introduction with Ergest Xheblati

Count AI is here

How to re-establish trust in data

More than a dashboard - how to make sure your metric tree succeeds

What is a data canvas?

Driving Operational Clarity

Discovering the tenets of high-impact data teams

It’s not about AI: Announcing Count’s AI Strategy

An Introduction to Metric Trees

Introducing low-code: the power of SQL, without writing any

Top lessons from top data teams

10 ways to go from a toxic to a healthy ad-hoc request culture

A study of embedded analysts

Maybe metadata isn’t as boring as it sounds

Your first 90 days as a Head of Data

Playbook: Driving value through product experimentation

Playbook: Data stack cost modelling - saving money and improving data culture

Are we approaching a value crisis?

How to know if your data team is successful?

Digging for gold with stakeholder surveys

What's the real purpose of a data team?

How we made data modeling multiplayer

The Data Professional’s Cheat Sheet for Working with Stakeholders

The Ultimate SQL Guide

Demystifying dbt models at scale

Announcing Python in the canvas

Count + dbt: Making your data models radically transparent

The ultimate guide to dbt

Why people don't trust your numbers and what you can do about it

How we evolved our query architecture with DuckDB

The ultimate guide to hiring your data team

Making complex SQL simple

Introducing: Alerts

Safe, flexible analytics at Omnipresent with Count

Snowflake Telemetry in Count

Transform Data Interviews with Count’s Canvas

Heuristics: the power of folklore in decision-making

Combine knowledge. Miro → Count

Going deeper into startup metrics

Count unveils breakthrough tool for data analytics and collaboration

Bye-bye notebooks. Hello, canvas.

Data tools need to change, including ours

How to make agile actually work for analytics

The Analytical Workflow is Broken

How to Make Sure Your Analysis Actually Gets Used

Dashboards are Dead

What Will “Analyst 2.0” Look Like?

Take your SQL from Good to Great: Part 2

The Tableau Era is Over

Take your SQL from Good to Great: Part 3

Take your SQL from Good to Great: Part 1

Take your SQL from Good to Great: Part 5

Take your SQL from Good to Great: Part 4

7 pieces of hiring wisdom to help build a great data team