Brittany Davis

Hey there, I’m the head of data at Narrator. Before Narrator, I was a senior data scientist at WeWork (on the rec systems team). I like data, analytics, tiny homes, and mixology :)

📍 New York, NY

How I frame data questions to make analyses more useful

How I frame data questions to make analyses more useful

A simple yet effective mental model I use to turn a vague stakeholder request into something that can be analyzed with data.

Why star schema is set up for failure

Why star schema is set up for failure

What is star schema?Star schema is the most common approach to data modeling — primarily made up of fact and dimension tables. Why you need data modeling Your company has a lot of data across many different data sources: website and marketing interactions, internal databases, Salesforce, Zendesk, etc…Querying production

Handling slowly changing dimensions in an Activity Schema

Data Engineering

Handling slowly changing dimensions in an Activity Schema

The simplicity of modeling slowly changing dimensions in an Activity Schema vs a Star Schema

Identifying bot traffic with SQL

Data Engineering

Identifying bot traffic with SQL

Systematically identify bot users in your web traffic with a simple SQL query.

When Correlation is Better than Causation

When Correlation is Better than Causation

A heuristic approach for using correlations to inform decisions

The best way to calculate Customer Lifetime Value for Ecommerce

The best way to calculate Customer Lifetime Value for Ecommerce

Understanding what Customer Lifetime Value is, why it's a useful metric, and how to compute it.

One question to make your data project 10x more valuable

One question to make your data project 10x more valuable

Make sure your data analysis is actionable by asking this one question before getting started.

How to choose an attribution model, advice from a data scientist

How to choose an attribution model, advice from a data scientist

The data-driven way to choose an attribution model

When good data analyses fail to deliver the results you expect

When good data analyses fail to deliver the results you expect

A cautionary tale of a data analysis, a dashboard, and a huge waste of resources