Leveraging Python and Django for What A Good Dog

EFS Networks leveraged the Django framework for Python to build a dynamic reporting system for What A Good Dog — creating RESTful API endpoints with self-describing documentation that turned into the basis for a database-agnostic reporting solution.

About the Client

What A Good Dog has helped tens of thousands of dogs and their families achieve better, more rewarding relationships. Whether dogs are joining for a lesson, staying for the day, or boarding overnight, WAGD works with each dog and owner to create the best experience. The staff includes breeders, trainers, veterinary technicians, animal behavior specialists, canine advocates, and dog lovers.

The Challenge

• Create a reporting application that extends the existing kennel software
• Quickly generate reports on kennel data with functionality for collecting staff feedback on each line item
• Each report needed to be individually searchable for easy data entry
• Easy export to Excel for record-keeping and communication

Our Solution

• Utilized the Django framework for Python to create a dynamic reporting system on external data
• Each user-generated report dynamically generates RESTful API endpoints with self-describing documentation for future integrations
• Resulting project became the basis for a database-agnostic reporting solution applicable to any dataset
• Ensured security and integrity of kennel data during production usage
• Client now has supporting architecture and an API for future integration with their kennel software

Results

• Dynamic reporting system with automatic RESTful API generation
• Requests for data visualizations or further integrations now take significantly less development time
• Many feature requests can now be completed without developer support by the client
• Foundation for a multi-client reporting platform applicable to any data source
• Secure, production-ready architecture built for long-term extensibility