I thought predictive analytics was for data scientists. Then I actually tried it.
📰 Medium · Data Science
Predictive analytics is not just for data scientists, and you can start using it to forecast business outcomes like customer churn probability
Action Steps
- Run a forecast using a predictive analytics tool to project customer churn probability
- Configure the forecast to segment customers by relevant categories
- Test the accuracy of the forecast by comparing it to historical data
- Apply the insights from the forecast to inform business decisions and strategies
- Compare different forecast models to determine the most accurate one
Who Needs to Know This
Business analysts and product managers can benefit from predictive analytics to inform their decisions and strategies, and it can be used in team meetings to drive discussions and planning
Key Insight
💡 Predictive analytics can be used by anyone to drive business decisions and strategies, not just data scientists
Share This
📊 Predictive analytics is not just for data scientists! Try it out to forecast business outcomes like customer churn probability 💡
Key Takeaways
Predictive analytics is not just for data scientists, and you can start using it to forecast business outcomes like customer churn probability
Full Article
Someone in my team pulled up a forecast in a meeting. Churn probability by customer segment, projected three months out. Clean visual… Continue reading on Medium »
DeepCamp AI