Problem

British Airways (BA) is a major airline carrier that operates thousands of flights daily. As a business, BA understands the importance of customer feedback and wants to improve its services by analyzing customer reviews from third-party sources. The challenge is to collect and analyze the data effectively to identify key insights that can drive business decisions. To address this challenge, the team needs to scrape review data from Skytrax, perform data cleaning, and conduct analysis using Python or any other tool. The team also needs to present their findings in a clear and concise manner using visualizations and metrics.

Solution

The team used Python to scrape review data from Skytrax and performed data cleaning to prepare the dataset for analysis. They then conducted topic modeling, sentiment analysis, and word clouds to uncover key insights from the reviews. Using these insights, the team created visualizations and metrics that summarized their findings in a single PowerPoint slide. This slide was presented at the next board meeting, where it was used to drive key business decisions.

Team

Team Member #1 - Data Scientist
- Scraped review data from Skytrax using Python
- Cleaned dataset for analysis using data cleaning techniques
- Analyzed dataset using topic modeling, sentiment analysis, and word clouds
Team Member #2 - Data Analyst
- Created visualizations and metrics to summarize findings in a single PowerPoint slide
- Presented findings at board meeting to drive key business decisions
- Assisted with data cleaning and analysis as needed.

BA Boosts Revenue, Satisfaction via Review Analysis