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Transforming customer intelligence at scale
How a Fortune 50 bank unified 200M customer experiences with AI
Transforming customer intelligence at scale
How a Fortune 50 bank unified 200M customer experiences with AI
Transforming customer intelligence at scale
How a Fortune 50 bank unified 200M customer experiences with AI
200M+
Customers served
80%
Time reduction
10+
Use cases
360°
Customer view
200M+
Customers served
80%
Time reduction
10+
Use cases
360°
Customer view
200M+
Customers served
80%
Time reduction
10+
Use cases
360°
Customer view
The challenge
Breaking down data silos
A Fortune 50 multinational retail bank serving over 200 million customers faced a critical challenge: Fragmented customer data across operational silos was creating a disconnected customer experience and preventing optimal team performance.
Key challenges
Disconnected customer intelligence across business units
Limited ability to scale personalized insights
Reliance on basic rule-based decisioning
Lack of real-time actionable intelligence
A Fortune 50 multinational retail bank serving over 200 million customers faced a critical challenge: Fragmented customer data across operational silos was creating a disconnected customer experience and preventing optimal team performance.
Key challenges
Disconnected customer intelligence across business units
Limited ability to scale personalized insights
Reliance on basic rule-based decisioning
Lack of real-time actionable intelligence
A Fortune 50 multinational retail bank serving over 200 million customers faced a critical challenge: Fragmented customer data across operational silos was creating a disconnected customer experience and preventing optimal team performance.
Key challenges
testxvcvcxv Disconnected customer experience across channels
Limited ability to scale personalized insights
Reliance on basic rule-based decisioning
Lack of real-time actionable intelligence
The solution
Customer Genomics framework
Unified intelligence hub
360° customer view accessible across silos
Self-service analytics platform
Continuous learning AI models
AI-powered decisioning
Automated personalization at scale
Real-time insight generation
Seamless systems integration
Customer Genomics framework
Unified intelligence hub
360° customer view accessible across silos
Self-service analytics platform
Continuous learning AI models
AI-powered decisioning
Automated personalization at scale
Real-time insight generation
Seamless systems integration
Customer Genomics framework
Unified intelligence hub
360° customer view accessible across silos
Self-service analytics platform
Continuous learning AI models
AI-powered decisioning
Automated personalization at scale
Real-time insight generation
Seamless systems integration
Implementation approach
1
Discovery & design
Assessed team objectives
Developed requirements
Created architecture
2
Development & testing
Built AI/ML models
Tested initial MVP
Refined from feedback
3
Enterprise rollout
Phased implementation
Team enablement
Continuous optimization
Implementation approach
1
Discovery & design
Assessed team objectives
Developed requirements
Created architecture
2
Development & testing
Built AI/ML models
Tested initial MVP
Refined from feedback
3
Enterprise rollout
Phased implementation
Team enablement
Continuous optimization
Implementation approach
1
Discovery & design
Assessed team objectives
Developed requirements
Created architecture
2
Development & testing
Built AI/ML models
Tested initial MVP
Refined from feedback
3
Enterprise rollout
Phased implementation
Team enablement
Continuous optimization
Dive deeper
Dive deeper
Dive deeper
The impact
Measurable enterprise-wide results
Operational excellence
Time reduction
80%
Consolidated data view
Self-service analytics
Automated insights
Customer experience
Satisfaction increase
45%
Personalized engagement
Faster response times
Relevant interactions
Business growth
Use case expansion
3.3x
10+ active use cases
Improved efficiency
Significant savings
Dive deeper
Dive deeper
Dive deeper
Looking ahead
Expanded use cases
Rolling out across additional business units
Enhanced data sources
Incorporating new customer touchpoints
Advanced automation
Further optimizing customer interactions
Looking ahead
Expanded use cases
Rolling out across additional business units
Enhanced data sources
Incorporating new customer touchpoints
Advanced automation
Further optimizing customer interactions
Looking ahead
Expanded use cases
Rolling out across additional business units
Enhanced data sources
Incorporating new customer touchpoints
Advanced automation
Further optimizing customer interactions
Insights worth exploring
Recognition & achievements
Named leader
Customer analytics service provider Q2 2023
Named leader
Customer analytics service provider Q2 2023
Named leader
Customer analytics service provider Q2 2023
Representative vendor
Customer analytics service provider Q1 2021
Representative vendor
Customer analytics service provider Q1 2021
Representative vendor
Customer analytics service provider Q1 2021
Great Place to Work, USA
Great Place to Work, USA
Great Place to Work, USA
Representative vendor
Customer analytics service provider Q1 2021
Representative vendor
Customer analytics service provider Q1 2021
Representative vendor
Customer analytics service provider Q1 2021
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