Using Holistics
Data at Work
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!
Holistics — The Best Affordable Alternative to Looker
Looker is among the most popular data analytics platforms on the market today. It has a unique approach to data modeling that …
Using Holistics
Holistics Power-ups
Data Modeling
Holistics Data Modeling, Explained
Holistics's data modeling layer allows data teams to radically increase their productivity. No repeated queries. Self-serve reports and dashboards. Here's how it works.
Using Holistics
How Holistics Fits Into A Data Organisation
The new version of Holistics is designed from the ground up to increase the productivity of your data team. Here's how that works.
Business Intelligence
Lean Analytics
When Measuring Performance, Find Lines in the Sand
One of the most useful ideas from the 2013 book Lean Analytics is the notion of 'lines in the sand' — concrete values that tell you how well you're doing on a metric that matters.
Business Intelligence
Lean Analytics
Lean Analytics Part 2: The Stages of a Data Driven Startup
In Part 2 of our summary of Lean Analytics, we cover the five stages of a data driven startup, and the book's tips for creating a data-driven culture in your company.
Business Intelligence
Lean Analytics
Lean Analytics Part 1: An Introduction to Analytical Thinking
In the first part of our comprehensive summary of Lean Analytics, we examine the basics of analytical thinking, explore six startup business models, and examine the metrics that matter the most to each.