Business Intelligence

How Would An Ideal Semantic Layer Look Like?

Most data practitioners I talked to agree on two things. 1/ We need an abstraction layer to define metrics consistently and rigorously. …

How to run a Data Clinic (aka Data Office Hours)

Data clinic is one of many ways you create value and drive your organization toward better data literacy. Here's how.

Business Intelligence

Data analysts, think about your work from the business stakeholders perspective

As data analysts, we often do lots of work — writing SQL, modeling data, drawing charts, and building data presentations. We spent hours …

Business Intelligence

The Misleading Data Analyst Job Title (and Career Ladder)

Investment analyst is an entry-level investment position. So is data analyst an entry-level data position, too?

Business Intelligence

Business Metrics vs Customer Metrics

What are the typical metrics that you’d normally look at weekly? If you're like me (a startup founder), you would look …

Data at Work

Looker Review: From Real-World Use, By Data Practitioners

Looker is unique among the popular business intelligence (BI) tools for its innovative approach to data modeling and exploration. In this post we're going to do a high-level review and analysis of Looker, what it does, and what it strengths and weaknesses are.

Business Intelligence

Self Service Analytics is a Business State

We take a look at what self service analytics is ... by looking at what it isn't.

Data at Work

Google Data Studio: Pricing, In-depth Reviews & Tutorials

Google Data Studio (GDS) is among the popular BI tools in the market developed by Google. In this post, we're going to do a high-level review and analysis of Google Data Studio, what it does, what it excels at and who or what use cases it would suit best.

Business Intelligence

The Silos between Data Analysts and Data Engineers

This is part two of the “Silos of Data Organization” series. Part one was sent out last week. For this one, let’ …

Business Intelligence

The Silos of Data Organization: Data Analysts vs Business Users

As a Data Analyst, you usually work with two types of stakeholders: the clients (business users) who ask for data, and the …