The Semantic Layer Evolution: Why Powerful Data Still Fails to Deliver – Interactive model included
- Published
- Author
Bruce Hay, Muaz Notiar, Carmen Appel, Chris Wray
This article explores how semantic layers evolved to make powerful databases usable for business audiences by translating intricate technical structures into clear, business-aligned concepts. Through practical examples, it shows how semantic complexity accelerates very quickly, especially in asset management, where interconnected systems exhibit far greater intricacy than simpler domains. Using a quantitative framework to assess semantic complexity, the piece argues that effective data work requires more than SQL fluency - it requires domain specialists who grasp business context and can bridge technical and commercial concepts. Organisations that master semantic complexity gain durable advantages via faster product delivery and trusted, data-driven decisions, while those that stumble encounter regulatory exposure, inconsistent metrics, and decision paralysis.
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