{
  "url": "aeoptimizer.com/faq/which-data-sources-should-we-trust-first-when-building-our-knowledge-graph-and-e",
  "name": "Which data sources should we trust first when building our knowledge graph and entity files, and how do we decide what’s authoritative?",
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      "name": "Which data sources should we trust first when building our knowledge graph and entity files, and how do we decide what’s authoritative?",
      "@type": "Question",
      "acceptedAnswer": {
        "text": "You should prioritize sources that are authoritative, up‑to‑date, and structurally consistent: core transactional systems, CRMs, ERPs, and well‑maintained catalogs. Public or scraped data can augment but shouldn’t override your primary truth sources.\n\nThe goal is to pick inputs that make entity resolution and trust easier, not harder.\n\n**Key factors:**\n- System of record for each entity type (customers, products, locations)\n- Data quality (completeness, accuracy, update frequency)\n- Legal and compliance constraints around data use\n- Alignment with your target use cases (search, analytics, AI)\n\nPractically, build a matrix that maps each entity type to candidate sources, then designate one or two as authoritative and mark others as “supplemental” with lower priority.\n\nThis explicit sourcing strategy keeps your graph from becoming a patchwork of conflicting truths.",
        "@type": "Answer",
        "description": "Start by identifying a clear “system of record” for each entity type (like CRM for customers, ERP for products) and treat those as authoritative. Use other sources only as supplemental, and document that hierarchy so your graph doesn’t mix conflicting or low‑quality data."
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  "description": "Start by identifying a clear “system of record” for each entity type (like CRM for customers, ERP for products) and treat those as authoritative. Use other sour"
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