How to use AI to easily configure and deploy NLP entity extraction at scale
How to use AI to understand sentiment from any text data
How to easily format, transform, and enrich your text or data using AI
How to use AI to easily configure and deploy NLP text classifiers at scale.
AirOps Language Translate lets you instantly translate text from any language to any language at scale
With AI Data Sidekick, you can use artificial intelligence to ✨automatically✨ write SQL queries in dbt Cloud.
How to quickly optimize SQL queries using artificial intelligence.
How to use artificial intelligence to automatically generate YAML entries for your dbt models.
Using artificial intelligence to generate a full Python script from any table.
Use artificial intelligence to instantly generate a full Python script from a dbt model.
How to instantly generate documentation for your SQL tables using artificial intelligence.
Copy/paste complex SQL queries into AI Data Sidekick, get an instant explanation about what the query does, use cases, and more.
Getting errors on your SQL queries? Artificial intelligence can help you find the culprit.
What information does your database table contain? Use artificial intelligence to find out.
How to use artificial intelligence to determine which questions a data table can answer.
Whether you’re new to SQL or a data pro, you can use artificial intelligence to ✨automatically✨ write SQL queries.
2 ways to calculate distance between two points using SQL (plus a bonus Python method for more advanced use cases).
What metrics should your PLG SaaS company measure, monitor, and move?
Lead to Opportunity Conversion Rate: What it is, how to improve it, and best practices for tracking it.
Repeat Customer Rate: A sales performance metric to assess growth from repeat buyers who come back again and again.
Customer Lifetime Value: What it is, how to calculate it, and how to use CLV to drive growth.
Average Revenue Per User (ARPU): What it is, how to calculate it, and how to use it to improve revenue in your product-led growth organization.
NRR: How to calculate it, why it’s so important (especially for SaaS companies), and frequently asked questions about NRR.
Net Promoter Score, aka NPS, is often considered the gold standard of customer experience metrics. Here’s everything you need to know about it.
Customer Churn: What it is, why it’s important, best practices for measuring it, and how to improve your Customer Churn rates.
Your data stack is an expensive investment. Here are six ways to make sure that investment pays off.
Improve data visibility and get a full view of your data landscape with dbt exposures.
Snowflake to Google Sheets: 3 options to move data from one to the other
How to calculate and track MRR (plus important considerations to keep in mind, how to improve MRR, and more).
How to calculate and track First Contact Resolution (and why it’s so important).
Alex Halliday (AirOps Founder & CEO) and Mark Williamson (MasterClass COO) talk Weekly Business Reviews.
8 steps for high-growth companies to launch, run, and maximize the value of their weekly leadership meetings.
Average Resolution Time: What it is, why it’s important, and how to (easily) measure it.
Customer Satisfaction Score (CSAT): What it is, why it’s important, and how to (easily) measure it.
Average Response Time for customer service teams: What it is, why it’s important, and how to (easily) measure it.
15 customer service metrics that your customer service team can use to measure performance.
An interview with Chris Meier (Director, Data) at Bambee: A new way to think about measuring the return on investment of a data team and data stack.
Find the right data analytics and business intelligence tool for your organization with this guide to some of the best BI tools for startups.
An overview of a modular data modeling process.
What data ingestion is, why it’s an important part of the modern data stack, and the best data ingestion tools.
A simple ROAS formula to measure how well your advertising works.
What metrics should your company monitor? Here’s how to find out which ones will have the biggest impact.
What metrics should your business measure? Here’s how to find out.
Part 3: The (non-technical) business leader’s guide to kicking off an effective data analytics & BI program.
Part 2: The (non-technical) business leader’s guide to setting a data analytics and BI strategy