Businesses track their health and growth through the use of metrics. Consequently, as a data professional, you’ll often be tasked with investigating, analyzing, and predicting important business metrics.
In this mission of our Data Analysis in Business course, we’re going to take a closer look at business metrics. We’ll investigate what makes a good metric, and then we’ll explore a couple of common business scenarios.
Specifically, you’ll work with a company’s Net Promoter Score (NPS) to analyze customer satisfaction. Then, you’ll dig into customer churn rates, an important metric for subscription-based businesses.
By the end of the mission, you’ll have a solid grasp of what makes a good metric, and you’ll have some experience working with common business metrics to find meaningful insights.
- Learn about some common business metrics
- Work with Net Promoter Scores
- Analyze customer churn rates
- Business Metrics
- What’s a Good Metric?
- Introduction to the Net Promoter Score
- Net Promoter Score
- Analyzing NPS
- Customer Churn
- Data Wrangling
- Churn Rate
- Investigating Churn
- Analyzing Churn
- Next Steps