How Can Cyclistic Navigate Speedy Success? – Cyclistic Bikeshare Data Analysis Project

This Power BI report presents a comprehensive analysis of Cyclistic’s Bikeshare program, focusing on user behavior trends between December 2020 and January 2021. As the Data Analyst, my role involved exploring over 3.6 million ride records to uncover insights that support data-driven decision-making and strategic business growth.

Key aspects of the analysis include:

• Comparing ride patterns between members and casual users

• Understanding usage trends by time, day, and month

• Identifying preferences for bike types

• Calculating ride durations and peak periods

The insights generated in this report aim to help Cyclistic design more targeted marketing strategies, improve user retention, and optimize resource allocation. Data cleaning, transformation, and visualization were performed using Power BI to ensure accuracy, clarity, and actionable results.