This pipeline simulates a Data Product Platform designed for managing and distributing synthetic data products. It support multiple roles, metrics, and feedback mechanisms.
The platform includes a authentication system supporting both login and logout functionalities, enabling access for different types of users.
- View and manage access requests
- Monitor product popularity and recent API usage
- Access key platform metrics such as:
- Net Promoter Score (NPS)
- API call volume
- User statistics
- Review user-submitted ratings and feedback
- Browse available synthetic data products
- Request access to datasets
- Track access request status (e.g., pending, approved)
- View recent API usage
The platform simulates various usage and engagement statistics, including:
- Total users
- Active users (last 7 days)
- API usage volume
- Access request counts and status breakdown
- User feedback volume and sentiment
- Simulated NPS (Net Promoter Score)
The platform hosts several synthetic datasets, such as:
- Consumer Behavior trends
- Financial Market indicators
- Weather Data across regions
Note: Dataset downloads are only enabled post approval of access requests.
All data product interactions are monitored, allowing admins to view API call trends and usage patterns.
Users can rate datasets based on:
- Quality
- Completeness
- Usability
- Overall satisfaction
Users can submit:
- Product-specific feedback
- General platform feedback
- Question/bug report/help request
All feedback is visible in the admin dashboard for continuous platform improvement.
Users must request access to datasets, which is reviewed and approved by platform administrators. Access status is tracked and displayed in the user dashboard.
The platform also includes case studies that demonstrate how the synthetic data can be applied in real-world scenarios, adding valuable context and potential use cases.