Cyclistic Bike-share Analysis Case Study

Upon data cleaning and validation, I explored the data and gathered insights, focusing on the differences in the behaviour of casual riders and members.

I used Tableau to design a data visualisation showing the insights gathered, which would be presented to the Director of Marketing. It would drive informed decision-making by the marketing team on how to proceed with the change in marketing strategy.

It was concluded that:

• Casual riders go on less frequent rides for a long duration, while members go on frequent rides for a shorter duration 

• Casual riders usually make their longest trips on the weekend, while members do so on a weekday

• There is a difference between the day of most trips made between casual riders and members

The marketing team was also recommended on the following:

• Expand the scope of analysis

• Survey current customers

• Modify membership terms