Data Analysis - Narrator Data Blog

How to keep your data clean with proper alerting from your data system

No data is perfect, and data quality practices and processes are absolutely critical to put in place before any analysis can be performed.

Data Analysis

What's missing from the Amplitude and Snowflake partnership

Amplitude and Snowflake's partnership is a great first pass at warehouse-powered data analytics. However, this sync is missing many data team requirements for a complex and secure production data system.

Data Analysis

Bad data analysis questions I see every week (and how to fix them)

For the past few years at Narrator, I’ve been collecting the bad data questions I often stumble upon and reflecting on how to make them better. This simple exercise, done regularly for a few years, significantly improved the quality of questions I ask. Last week, I thought other data

Data Analysis

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.

Data Engineering

Identifying bot traffic with SQL

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

Data Analysis

A guide to data-driven prioritization for product managers

PMs use data to prioritize, align their team, and communicate the impact of their work. How does this work in practice?

Announcements

Announcing the Analyze Button

Overview of the Analyze Button, the first self service data analysis tool. It creates a full analysis, with recommendations, in one click.

Data Analysis

What (actually) is self service analytics?

Why data-informed decisions are more important than broad access to data for self service analytics

Data Science

When Correlation is Better than Causation

A heuristic approach for using correlations to inform decisions

Data Analysis

Self Service Analytics

Will business users ever be able to ask ad hoc questions without involving data teams? Narrator’s self-service analytics solution is the answer.

Announcements

Building a Data-Driven Culture Without Dashboards

Our Head of Data, Brittany, gave a talk about building a data-driven culture without dashboards.

Data Engineering

Shareable data analyses using templates

We've been using shared data analyses in production for three years. Here's how you can create reusable templates for common metrics and analyses.

Data Engineering

How To Do Data Democratization With Flexible Data Modeling

Data democratization usually means simple dashboards. Here's how to safely give stakeholders the ability to ask any question

Data Analysis

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.

Data Analysis

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.

Data Science

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

The data-driven way to choose an attribution model

Data Analysis

Using customer behavior to drive better product decisions

Understanding which customer behaviors lead to conversion is the fastest way to know which product changes to make. As a data person, I frequently get asked for help from product teams. Over the years, I spent quite a bit of time explaining the difference between good and bad questions. Typically

Data Analysis

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