Unified Sales Analytics Dashboard for Winbid
How we built a unified sales analytics dashboard integrating multiple outbound calling and SMS solutions
Client
Winbid
Industry
Technology
Services
Analytics

Key Results
The Challenge
Winbid, a multi-company sales organization, faced significant challenges in managing their sales teams' performance across different companies. The primary issues were:
- Multiple outbound calling and SMS solutions in use
- Disparate dashboards with limited features
- Manual data export and dashboard creation process
- Lack of unified performance metrics
- Time-consuming weekly reporting process
The client needed a solution to manage all sales teams from a single interface while maintaining detailed performance metrics for each company and agent.
The Solution
We developed an end-to-end dashboarding solution that unified all sales data into a single, easy-to-use interface. Here's how we approached it:
1. Data Warehouse Architecture
We created a robust data infrastructure using:
- Google BigQuery as the central data warehouse
- n8n for automated data pipelines
- Google Sheets for the final dashboard interface
2. Data Integration Pipeline
Instead of custom scripts, we implemented a more efficient solution using n8n to:
- Process incoming webhooks
- Connect to various API endpoints
- Automate data transformation
- Schedule regular updates
3. Data Transformation
All data transformation was handled in BigQuery using custom SQL queries to:
- Clean and standardize data
- Create unified metrics
- Generate performance insights
- Maintain data consistency
4. Dashboard Implementation
The final dashboard was built in Google Sheets with:
- BigQuery SQL integration
- Custom dropdown menus
- Interactive filters
- Real-time data updates
Technical Implementation
Data Flow Architecture
Dashboard Components
-
Performance Overview
- Weekly metrics
- Agent comparisons
- Company-wide statistics
-
Detailed Analytics
- Call success rates
- SMS response rates
- Conversion metrics
- Time-based analysis
-
Custom Filters
- Date ranges
- Company selection
- Agent selection
- Metric type selection
Results
The implementation delivered significant improvements:
-
Time Savings
- Reduced weekly reporting time by 90%
- Eliminated manual data exports
- Automated data processing
-
Better Insights
- Unified view of all sales activities
- Real-time performance tracking
- Consistent metrics across companies
-
Improved Management
- Single dashboard for all companies
- Easy comparison between teams
- Quick identification of performance issues
Key Features
- Automated Data Processing: n8n workflows handle all data integration
- Real-time Updates: Data refreshes automatically
- Customizable Views: Filters for different analysis needs
- Performance Metrics: Standardized KPIs across all companies
- User-friendly Interface: Easy navigation and data visualization
Technical Stack
- Data Warehouse: Google BigQuery
- Automation: n8n
- Visualization: Google Sheets
- Data Integration: Custom APIs and webhooks
- Scheduling: n8n scheduling features
Future Enhancements
The system is designed to be scalable and adaptable:
- Additional data sources can be easily integrated
- New metrics can be added without structural changes
- Custom reports can be generated on demand
- API access for third-party integrations
Conclusion
This case study demonstrates how a well-architected data solution can transform business operations. By unifying disparate data sources and automating the reporting process, Winbid now has a powerful tool for managing their sales teams across multiple companies.
The solution not only saves time but also provides deeper insights into sales performance, enabling better decision-making and more effective team management.
Interested in implementing a similar solution for your organization? Contact us to discuss your specific needs.
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