Data match rate
Data sources
Process automation
Data view
The challenge
Breaking free from reactive service
As a global CPG enterprise, the business faced the challenge of harmonizing vast amounts of data from bottlers worldwide, each with unique formats and systems. Manual processes and fragmented data were hindering decision-making and market responsiveness.
Key challenges
Disparate data sources and formats
Resource-intensive manual processes
Limited data exploration capabilities
Complex stakeholder alignment
The solution
Cogentiq Data Foundation platform
Intelligent data processing
Automated data harmonization
AI-powered matching
Real-time processing
Enterprise integration
Seamless system connectivity
Scalable architecture
Global deployment ready
Implementation approach
1
Foundation
Stakeholder alignment
Architecture design
Requirements gathering
2
Development
Platform configuration
Integration setup
Testing and validation
3
Deployment
Phased rollout
Performance monitoring
Continuous optimization
The impact
Data-driven transformation
Data quality
Match reason
Automated matching
Refined data quality
Real-time validation
Operational efficiency
Process automation
Minimized manual tasks
Reduced processing time
Improved resource allocation
Data coverage
Source integration
Comprehensive view
Global coverage
Unified access
Looking ahead
Global expansion
Rolling out across all markets
Enhanced intelligence
Advanced AI capabilities
New Applications
Extending to new use cases
