3 Lessons We Learned Optimising Codebases
Lamp team
Lamp team
In high-novelty transformation, “business-led” delivery, while admirable in principle, can conceal implementation risk in practice. The danger is not business ownership itself, but the tendency to use it as a proxy for missing SME capability. This article introduces the BLIND anti-pattern and explains how that underlying deficiency can manifest operationally in specific areas such as testing and UAT.
Read moreThis 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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