Business Intelligence

There appears to be two philosophies today when it comes to managing costs in a modern data stack. We explore what they are.

There's a tendency for people to conflate OLAP with OLAP cube. We take a quick look at how this happens, why it shouldn't, and why it matters if you're a data practitioner.

A definitive history of the rise of the OLAP cube, how it's affected our industry, and what comes after.

According to McKinsey, 70% of digital transformation projects fail to accomplish their objectives. We take a look at what this means for BI-focused digital transformation.

Good data teams combine data from different sources in order to do their jobs well. Here's what we've learnt while putting this into practice at Holistics.

Data team careers are different from equivalent careers in software engineering, product management, or UI design. Here's how to evaluate prospective employers as part of your data career.

Google Analytics is an incredible tool to have in your toolbox. But it only offers aggregated data, which limits your ability to track visitor behavior. In this post, we discuss a simple, affordable alternative to GA that we've implemented at Holistics.

Power BI is a powerful tool, but it doesn't support MacOS. We discuss three solutions to use Power BI on Mac devices.

The resurgence of SQL-based data modeling is a something we should all be interested in. Here's why it's important.