So you’ve decided you’re ready to take the plunge into a data notebook. It can be easy to get lost in the data-notebook hype and ever-increasing options available to you, making it difficult to choose what’s really best for you and your team.
Generating impact means convincing the people you work with that the work you do has value for them or their business. Impact is a combination of perception and results.
Understanding SQL remains the best way to work with data in our organizations. For a stakeholder, just being able to read and understand SQL queries can completely change how they work. Instead of only working with static, flat dashboards, they can work more closely with the data team, ask more probing questions and be a smarter consumer of the data they do receive.
The primary way data is consumed in organizations is through dashboards. And while dashboards are great for certain things, like informing you of last month’s churn rate, they fall shockingly short when you have to work out why it went up by so much, and more critically, what you’re going to do about it.
How the Data Engineering team at The Stable, part of Accenture Song, uses the Count canvas to bring transparency to their pipeline and deliver outputs 3x faster.
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.
"Those numbers aren't right." I’m not sure there is another phrase capable of eliciting as much rage, exasperation, and anxiety from a data person as this one.
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.
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 Standard first introduced in SQL-92.
Get your data to the right people at the right time. When speaking to a Head of Data a few years ago, she used a phrase I've been in love with ever since: dashboard detritus. She was referring to the festering heap of unused and unloved dashboards, reports, and ad-hoc analyses that had been slowly accumulating on her team.
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.
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.
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.
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 marketing funnel I built.
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.
Almost every business operation can be represented as a process flow. Often these flows are far from simple and it can be very difficult to clearly present their performance as a dashboard or notebook.
‘We’ve done 150 growth scanners over the years, and the last 20 are in canvas. We’ve been doing it for years but we weren’t able to turn it into a really useful product until we had the canvas. The sharing at the canvas level, the talking back and forth - it just changed the game for us.’
Dashboards have their place but when you’re confronted with just a wall or numbers and charts it can be pretty confusing because all the context behind what the numbers actually stand for is lost.
In this article, I am going to walk through a playbook for how to host a robust and healthy data conversation in your organization, and create something called a ‘Psychological Safe Zone’.
There is no shortage of challenges vying for the attention of our data teams. So how do you decide what to focus on?\nWe created a 21-page guide to help you decide when it's time for you to focus on the Last Mile of Analytics.
Count releases a hyper-collaborative data platform to turn the data analytics workflow into a fun, creative journey for the whole team to reach data-driven decisions faster. The launch comes on the heels of a $5.2M seed raise.
Dashboards have been the primary weapon of choice for distributing data over the last few decades, but they aren’t the end of the story. To increasingly democratize access to data we need to think again, and the answer may be closer than you think!