ROADSIDE EMERGENCY SERVICES

Industry : Transportation services

Technologies : Amazon S3, AWS Glue, Python, PHP, MySQL, Microsoft Excel

Stakeholders : CEO, COO, CRO

Solutions provided : Data security, Python scripts for automation and data quality.

CHALLENGES

• Scanning and cleaning each data file manually is very time consuming.
• Manually uploading the new data into database is affecting production system performance and agent response times.
• Data import process is sensitive to data formats, resulting in repeating the process even for minor errors.
• Several business rules need to be followed while updating the database, making manual updates very inefficient.

SOLUTION

• Integrated data from various sources such as ftp sites, emails, and MySQL databases.
• Automated cleanup and transformation of data according to business rules.
• Implemented robust data quality rules to validate and ensure accuracy of the cleaned data.
• Stored data in a well-architected data warehouse with Amazon S3.
• Implemented robust security measures adhering to industry best practices to safeguard the confidentiality and integrity of the company’s data.