From the Bucket

Dead Data: What Industrial Data Can (and Can't) Do for You

42 min · 29 jun 2026
aflevering Dead Data: What Industrial Data Can (and Can't) Do for You artwork

Beschrijving

This episode is a detour from the career story because I've spent a big part of this year buried in compressor data, and it's been some of the most interesting work I've done. Industrial data collection is a spectrum, from an operator with a clipboard all the way up to full historians logging every point. In this episode I talk through what each level actually lets you do, how the questions change between industries, and how I physically pull and analyze this data in the field. Plus three real compressor stories: a pressure valve failure you could only see in the data, a bearing quietly failing across a month of trending, and using startup data to prove a system is healthy instead of hunting for what's broken. And then there's the trap I see all the time: dead data. Collecting everything and looking at none of it until something fails. Because the value of your data isn't how much you collect.It's whether anybody's actually paying attention before they're forced to.

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aflevering Dead Data: What Industrial Data Can (and Can't) Do for You artwork

Dead Data: What Industrial Data Can (and Can't) Do for You

This episode is a detour from the career story because I've spent a big part of this year buried in compressor data, and it's been some of the most interesting work I've done. Industrial data collection is a spectrum, from an operator with a clipboard all the way up to full historians logging every point. In this episode I talk through what each level actually lets you do, how the questions change between industries, and how I physically pull and analyze this data in the field. Plus three real compressor stories: a pressure valve failure you could only see in the data, a bearing quietly failing across a month of trending, and using startup data to prove a system is healthy instead of hunting for what's broken. And then there's the trap I see all the time: dead data. Collecting everything and looking at none of it until something fails. Because the value of your data isn't how much you collect.It's whether anybody's actually paying attention before they're forced to.

29 jun 202642 min