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Banking Customer Feedback Repository
Product Reviews & Feedback
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Free
About
This collection of user-generated reviews and ratings spans various financial institutions, offering a robust foundation for understanding customer experiences within the banking sector. The data serves as a valuable resource for unveiling key insights into customer satisfaction levels, tracing regional banking patterns, and identifying the factors that shape banking services. Analysts can utilise this genuine customer feedback to facilitate informed, data-driven strategies and decision-making for industry improvements.
Columns
- author: The identity and perspective of the user who wrote the review.
- date: The submission date of the feedback, allowing for analysis across different time periods.
- address: The geographical location associated with the review, which aids in studying regional variations in banking experiences.
- bank: The name of the specific financial institution being assessed.
- rating: The numerical value (on a scale up to 5) assigned by the user to reflect their satisfaction with the bank's service.
- review title by user: A concise title created by the user to summarise the main essence of their feedback.
- review: The detailed textual content provided by the user, representing the primary analytical data source.
- bank image: The URL for the bank’s logo or an image relevant to the associated review.
- rating title by user: A user-assigned title intended to provide additional context to the numerical rating given.
- useful count: A metric showing how many users found the specific review to be helpful, indicating its perceived impact.
Distribution
The dataset is structured with 10 columns and contains over 1000 records of user reviews and ratings. All columns currently have 100% valid, non-missing entries. The data is available in a CSV format, specifically
bank_reviews3.csv, with a file size of approximately 464.36 kB. The mean rating is 4.35 out of 5, while the mean useful count is 2.75.Usage
This collection is highly suitable for various analytical purposes, including:
- Conducting sentiment analysis to gauge public perception of banks.
- Uncovering customer satisfaction trends and pain points across the financial industry.
- Analysing the impact of financial regulations and supporting evidence-based policy development.
- Identifying specific areas for customer service enhancement within banking operations.
- Exploring historical feedback and performing comparative studies on regional banking patterns.
Coverage
The reviews were collected over a time span ranging from November 2019 to March 2020. Geographically, the data covers reviews from locations, with Bangalore accounting for 25% of entries and Chennai for 17%. The remaining 58% are sourced from various other addresses. The dataset includes feedback on 10 unique bank names.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: To build predictive models and extract deep, data-driven insights for financial industry improvements.
- Researchers: To explore historical feedback and contribute knowledge through academic studies on the financial sector.
- Banking Professionals: To proactively monitor service quality, identify areas requiring operational improvements, and ensure a better customer experience.
- Policy Analysts: To assess the effectiveness of current policies and economic trends relating to financial regulations.
Dataset Name Suggestions
- Banking Customer Feedback Repository
- Financial Institution User Ratings
- Regional Bank Experience Data
- Customer Satisfaction in Banking
Attributes
Original Data Source: Banking Customer Feedback Repository
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