Expose: Data Exposure
Overview of the Expose phase in the CORE framework
Expose: Data Exposure
Section titled “Expose: Data Exposure”Exposing data through the right channels enables teams to make better decisions and deliver personalized experiences. This phase covers analytics, personalization, and AI-powered solutions.
Overview
Section titled “Overview”The Expose phase delivers refined data and insights to end users through various channels: business intelligence dashboards, personalized experiences, and AI-powered agents. It’s where data creates value for the business.
Key Concepts
Section titled “Key Concepts”Advanced Analytics & BI
Section titled “Advanced Analytics & BI”Transform data into actionable insights:
- Self-service analytics: Empower teams with accessible tools
- Custom dashboards: Build tailored views for different stakeholders
- Data visualization: Present complex data in understandable formats
Product & Journey Personalization
Section titled “Product & Journey Personalization”Deliver tailored experiences:
- Real-time personalization: Adapt experiences based on current context
- Journey optimization: Guide users through optimal paths
- Content recommendations: Suggest relevant content and products
Customer-Facing AI Agents
Section titled “Customer-Facing AI Agents”Leverage AI for customer interactions:
- Intelligent chatbots: Provide 24/7 support
- Recommendation engines: Suggest products and content
- Conversational interfaces: Enable natural language interactions
Composable CDP & Integrations
Section titled “Composable CDP & Integrations”Build flexible customer data platforms:
- API-first architecture: Integrate with any system
- Real-time sync: Keep data consistent across platforms
- Extensibility: Add new capabilities as needed
Outcomes
Section titled “Outcomes”- Analytics dashboards deployed
- Personalization engine configured
- AI agents integrated (if applicable)
- API endpoints exposed for integrations
- Access controls and permissions set up
- User training and documentation completed
Artifacts
Section titled “Artifacts”- Analytics Dashboards: Custom views for different stakeholders
- Personalization Rules: Logic for delivering tailored experiences
- API Documentation: Specifications for data access and integrations
- AI Agent Configurations: Setup for chatbots and recommendation engines
- User Guides: Documentation for end users
Pitfalls
Section titled “Pitfalls”- Dashboard overload: Creating too many dashboards without clear purpose
- Poor UX: Complex interfaces that users can’t navigate effectively
- Privacy violations: Exposing sensitive data without proper controls
- Over-personalization: Making experiences feel invasive or creepy
- Integration complexity: Building integrations that are hard to maintain
Related articles
Section titled “Related articles”Articles for the Expose phase will be added as they are created.