Latent asset-health dataset inside a maintenance-management SaaS

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Latent asset-health dataset inside a maintenance-management SaaS. The public page itself is a content-marketing guide, but the product it sells is described as holding, per transformer unit: nameplate and engineering attributes (voltage ratio, impedance, cooling class, tap range, bushing configuration, dimensions), factory test certificates, dissolved-gas-analysis sample series read across four to six sequential samples, cumulative thermal-aging measures, maintenance-cost history, spare-parts availability, and the resulting remaining-useful-life flags that trigger procurement 30 to 36 months ahead of predicted failure. Aggregated and de-identified across the installed base, this is a transformer fleet ageing, failure-precursor and replacement-timing dataset — the replacement-intelligence layer the vendor markets but does not sell as data.