Cyclistic Bike Share Analysis 

Cyclistic is a Chicago-based bike-share company operating 5,824 bicycles across 692 strategically located stations in the city. It serves two primary customer groups: casual riders, who purchase single-ride or full-day passes, and Cyclistic members, who commit to annual memberships. A brief description of the project is given below.

Strategically Analyzed Bike-Share Data: Led a comprehensive analysis of Cyclistic’s bike-share data to understand usage patterns, employing advanced data analytics techniques in R and Tableau. This analysis provided a deep understanding of casual rider behaviour compared to annual members.

Identified Key Conversion Opportunities: Successfully identified critical trends and patterns through exploratory data analysis, enabling targeted strategies to convert casual riders into annual members, significantly enhancing the company’s membership base and revenue potential.

Data-Driven Recommendations for Business Growth: Formulated strategic recommendations based on data insights, such as targeted weekend promotions and membership pricing strategies, to boost the conversion rate of casual riders into loyal annual members.

Conclusion

• Casual riders tend to prefer docked bikes, whereas members are more diversified in their choice of bike types.

• Weekend rides are more common among casual riders, while members predominantly use the service on weekdays. However, the sheer volume of rides taken by casual riders is notably higher than that of members.

• Morning hours see a higher concentration of members, possibly indicating their reliance on Cyclistic for daily commuting.

• On average, casual riders have significantly longer ride durations compared to members.

• July emerges as the peak month for bike rides, regardless of rider type, possibly attributed to summer weather and school holidays.

• The busiest time of day for both rider groups is 5 pm.

Recommendations

• Implement pricing strategies that target casual riders during weekends, such as promotional discounts for weekend rides, coupled with reduced membership prices.

• Advertise membership benefits during peak riding hours to encourage casual riders to subscribe.

• Explore the introduction of monthly membership plans as an attractive option for converting casual riders into regular members.