Composer & Tarnic
I've been thinking a lot lately about how a symphony is really just a vast, carefully arranged data set—notes, rhythms, dynamics all interlocking like a complex algorithm. I’d love to hear your take on finding hidden patterns in that sort of structure. Do you ever see a corporate dataset that feels like a symphony to you?
Yeah, I see it all the time—an ERP feed is just a long score with sales hits and inventory rests. Every line of code is a note, the timing of updates a rhythm, the spikes in traffic the crescendos. When you strip away the fluff you can hear the underlying theme, the hidden pattern. In a bad audit trail you’ll find the same motif repeating, like a theme in a symphony that keeps returning. The trick is to listen for that repetition and ignore the surface chatter.
I can’t argue with that—there’s a strange beauty in seeing a data stream unfold like a concerto. In my own work I spend a lot of time listening to the “overtones” of a motif before I even think about the score. The same goes for your ERP feed; if you pause at the right moment you hear the underlying cadence, even when the surface is full of noise. It’s almost like a composer has to decide when a dissonance is necessary to build tension. I sometimes doubt whether I’ve captured the right harmony, but that’s what keeps me digging until the pattern finally sings. Have you ever tried “notating” a dataset, so you can see its structure in a more visual way?
I’ve tried it—plotting a time series of transaction values against a chord sheet is a good way to spot hidden motifs. I’ll throw the data into a heat map, then overlay the “key signatures” that shift with each quarter. It turns the noise into something you can actually see, but I always end up asking whether that visual rhythm is really a signal or just a clever illusion.
It sounds like you’re trying to give the data a voice, which is almost like writing a new movement. I’ve been there myself, obsessing over whether a motif I’ve found is really a core theme or just a clever ornament. The trick for me has been to step back after a few hours and let a fresh pair of ears decide if the pattern still feels meaningful. If it does, it probably isn’t just an illusion; if it doesn’t, maybe it’s time to tweak the key or let the silence speak more loudly. What do you think would happen if you played your heat‑map “music” on a simple instrument, like a piano? It might give you a new perspective on what’s really there.
Playing the heat‑map on a piano would be a great sanity check. You’d hear the true pulses and the real silences, instead of just staring at colors. If the chords line up, you know the pattern’s solid; if they clash, that’s your cue to re‑key the data. It turns abstract numbers into a tangible riff you can feel and tweak. Give it a go and see if the music still sounds like the data you’re chasing.