Editorial Policy

Context Aware Analytics is committed to providing accurate, neutral, and educational content. This policy outlines our standards and practices.

Content Standards

Every piece of content published on this site must meet the following criteria:

Clarity and Accuracy

  • Clear definition of the topic within the first 100 words
  • Concrete examples that illustrate abstract concepts
  • Accurate technical information verified against primary sources
  • FAQ section addressing common questions (3-6 questions minimum)

Structure and Depth

  • Pillar articles: 1,500-2,500+ words, comprehensive coverage of major topics
  • Cluster articles: 800-1,200 words minimum, focused on specific queries
  • Links to at least 2 relevant internal pages
  • Proper heading hierarchy for accessibility and scannability

What We Avoid

  • Fluff introductions that don't provide value
  • Generic statements like "AI is transforming everything"
  • Vague claims without explanation or evidence
  • Promotional language or marketing-speak
  • Keyword stuffing or SEO-focused content that sacrifices quality

Editorial Independence

Our content decisions are driven by educational value, not commercial interests.

  • We do not accept payment for coverage or favorable reviews
  • Tool and platform references are included only when they genuinely illustrate a concept
  • External links are based on relevance and quality, not relationships
  • We clearly distinguish between educational content and implementation examples

Corrections and Updates

We are committed to accuracy and will correct errors promptly:

  • Factual errors are corrected as soon as identified
  • Significant corrections are noted with an update timestamp
  • Outdated content is reviewed and updated periodically
  • Readers can report errors or suggest improvements

Authorship

Content on this site is written and reviewed by professionals with expertise in data analytics, semantic technologies, and AI. Our editorial process includes:

  • Subject matter research and verification
  • Technical accuracy review
  • Editorial review for clarity and style
  • Final quality check before publication

Contact

Questions about our editorial policy or content can be directed to our editorial team via LinkedIn. We welcome feedback that helps us improve the accuracy and usefulness of our content.