Numbers aren't all created equal; they fall into four distinct categories known as data scales. Understanding this, you'll learn how to handle each type correctly to make your data work for you.
The industry seems split on what "self-service analytics means". Benn Stancil suggests it's more of a "feeling, …
If you have dabbled in the Software Engineering world, you may think this post is about the catchphrase: “Composition over Inheritance” and …
A concise tour of one of the basic components of Kimball dimensional data modeling. We explore the three types of fact tables, and then analyze why they have lasted the test of time.
How did Analytics-as-Code evolve? We explain the history behind the movement, and present the 4 levels of analytics as code over the years.
As of this article’s publication, over 15,000 data and analytics professionals have been laid off since January 2022.* The job …
What self-service analytics is, and why it is important. Explained using a story of a pizza restaurant. If you enjoyed this comic …
Are dashboards really 'dead'? A response to a vendor trend that seems rather premature.
Treating your dashboards like a product means thinking about ALL of your user's needs — rational or otherwise.
10 practical tips/strategies I extracted myself when doing analytics case study as part of job interview process.
In actual business conversations, the metric's form is sometimes ignored and implicitly understood. Understanding this concept gives you much better clarity in dealing with metrics.
What does the future of self-service business intelligence look like?
Why are so few data analysts get good at business problem-solving?
Building a career in data often means building a career in a business cost center. This isn't necessarily bad. Here's how to think about it.
Introduction A few weeks ago, Microsoft announced a new data analytics product called Fabric. One of Fabric’s most exciting features is …
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