CORE Framework

CORE Framework

The CORE framework provides a structured approach to building effective data analytics systems. It consists of four interconnected phases that guide you from raw data collection to actionable insights and personalized experiences.

Framework Overview

CORE stands for:

• Collect: Gather high-quality data from all relevant sources
• Organize: Store and structure data for efficient access and analysis
• Refine: Build unified profiles and decision engines
• Expose: Deliver insights through analytics, personalization, and AI agents

The Four Phases

Collect

Data collection is the foundation of any analytics strategy. Learn how to implement effective data collection with schema design and server-side tagging.

Organize

Organizing data effectively is crucial for scalable analytics. Explore modern approaches with analytics warehouses and real-time stream layers.

Refine

Refining data into actionable insights requires unified profiles and intelligent decision-making systems. Build customer profiles and decision engines.

Expose

Exposing data through the right channels enables teams to make better decisions and deliver personalized experiences through analytics, personalization, and AI.

Framework Principles

1. Start with the end in mind: Define what insights and actions you need before collecting data
2. Quality over quantity: Better to collect fewer, high-quality events than many unreliable ones
3. Privacy by design: Build privacy and consent management into every phase
4. Iterative improvement: Each phase should continuously improve based on learnings from later phases
5. Scalability: Design systems that can grow with your business needs

Getting Started

Begin with the Collect phase to establish your data collection foundation, then progress through each phase to build a complete analytics system.