analytical Thinking Workshop

During this session we’ll understand the main stages in the Data Analysis process, and present a Use-Case that demonstrates an analysis of a real data-set from end to end.

Identify reasons behind a decline in a top game's performance, focusing on daily active users, revenue, and user spending segmented by Lifetime Value and platform.

Analyze a dataset of marketing bids to identify trends in win rates and conversion rates, and suggest improvements. Data includes user details, device info, auction types, and outcomes. This analysis focuses on understanding and enhancing marketing strategy effectiveness.

Conduct a descriptive analysis on treadmill purchase data to profile customers for each product type. Examine variables like age, gender, education, marital status, usage, fitness level, income, and expected mileage to understand preferences and sales trends. Utilize insights to recommend specific treadmills to potential customers and strategies to boost sales.

Analyze a dataset of orders to establish rules or thresholds for automatically accepting or denying new orders based on fraud risk. The data includes order value, email score, billing and shipping country codes, IP country, and proxy scores. 

Analyze data from an A/B test. The test aims to assess the feature's impact on revenues, and number of paying customers. Draw conclusions and provide recommendations based on observed trends and results.

Analyze data from an A/B test. The test aims to assess the feature's impact on revenues, and number of paying customers. Draw conclusions and provide recommendations based on observed trends and results.

Analyze two weeks of data from a city's ride-hailing service to optimize operations and identify areas for improvement. Assess key metrics such as the date with the most completed trips, busiest hours, driver-to-trip ratios, and demand-supply dynamics. 

Analyze an extensive dataset to provide strategic insights on content preferences across different countries and trends over time. Focus on content types available globally, changes in movie releases over decades,  optimal launch timing for TV shows, and the role of actors and directors in different genres.