Business Intelligence The Two Philosophies of Cost in Data Analytics There appears to be two philosophies today when it comes to managing costs in a modern data stack. We explore what they are.
Business Intelligence Developing an Intuitive Understanding of the SaaS Quick Ratio An explanation of the SaaS Quick Ratio that focuses on the intuition behind the metric. Written with the data analyst in mind.
Business Intelligence OLAP != OLAP Cube 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.
Business Intelligence The Rise and Fall of the OLAP Cube A definitive history of the rise of the OLAP cube, how it's affected our industry, and what comes after.
Using Holistics How to Create Data Models from External Data Sources in Holistics In Holistics, you are now able to create data models on top of external data sources like MongoDB and Google Sheets. Here's a video tutorial on how to do exactly that.
Business Intelligence Judge Your Company: Using The Three Levels of Data Analysis For Data Career Decision-Making 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.
Business Intelligence Hire Your Data Analysts First In the past, setting up an analytics department meant hiring data engineers first. But in a cloud-first world, you can and should hire data analysts first. Here's why.
Using Holistics Custom SQL with Tableau? No Problems Using custom SQL for your Tableau workbooks is usually a really bad idea. Here's how using Holistics with Tableau makes this a non-problem.
Using Holistics Effortless Materialized Views for Tableau with Holistics Tableau may be the best data visualizer on the planet today, but Holistics makes Tableau more awesome, by making data prep trivially easy.
Business Intelligence When Should You Get a Data Warehouse? Occasionally, we get asked “when should we consider getting a data warehouse?”. The answer is a lot simpler than you think!
