We live in the age of apps — and therefore, the age of data. This presents us with an unparalleled opportunity for data analytics, as well as an unparalleled challenge! Here's how to not get left behind.
Occasionally, we get asked “when should we consider getting a data warehouse?”. The answer is a lot simpler than you think!
Looker is among the most popular data analytics platforms on the market today. It has a unique approach to data modeling that …
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.
The new version of Holistics is designed from the ground up to increase the productivity of your data team. Here's how that works.
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.
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.
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.
In operational analytics, you're either looking at a leading indicator, or you're looking at a lagging trend indicator. Here's why this particular categorisation is so useful.