Business Intelligence
How We Combine Data Sources at Holistics
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.
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
Why Google Analytics sucks and what you can do about it
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.
Business Intelligence
The rise of SQL-based data modeling and DataOps
The resurgence of SQL-based data modeling is a something we should all be interested in. Here's why it's important.
Data at Work
Startups
Business Intelligence
How To Choose A BI Tool - Insights from Datanest
“There is nothing so terrible as activity without insight.” Insight has become an essential need for every company in order to understand what the company is experiencing, why it happens, and what might come in handy in the future.
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
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
Data Analytics for the App Generation
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.
