About

Context Aware Analytics is an educational resource for data professionals, analytics practitioners, and anyone working with business metrics and AI analytics.

What we cover

We write about the concepts and practices that make analytics reliable and AI-ready:

• Context-aware analytics and why semantic understanding matters
• Semantic layers and how they enable consistent metrics
• Why AI systems hallucinate in analytics contexts
• Metrics governance, certified metrics, and data trust
• Data modeling for AI-powered analytics

Our approach

Content is written to help readers understand topics, not to promote products. We follow a straightforward editorial approach:

• Define concepts clearly in the first paragraph
• Include concrete examples and scenarios
• Explain concepts neutrally without vendor advocacy
• Provide practical guidance where relevant

Who this is for

• Data and analytics practitioners building semantic layers
• Business users searching for metric definitions
• Engineers working on AI analytics systems
• Leaders evaluating analytics approaches

For content standards, see our Editorial Policy.