Apple's event just wrapped up, and your social feed is once again filled with the wails of "buy, buy, buy." New iPhone, new Watch, specs flying everywhere, tech bloggers burning the midnight oil to push out videos. But have you noticed? The excitement is all theirs—it seems to have nothing to do with that pile of work on your desk. You close the livestream page, open that Excel spreadsheet you've revised eighteen times, and go back to manually copying and pasting, moving column after column of product data into the system.
Honestly, the contrast is jarring. On one side, Cook is on stage talking about "disruption" and "revolution." On the other, you're staring at thousands of rows of data, your eyes about to go blind. You might think, what does this have to do with me? Everything. What's truly worth pondering about an Apple event isn't how shiny the titanium frame is—it's the logic behind it: data has to flow to be valuable.
That Excel spreadsheet of yours is a textbook case of data "dying" locally. Product names, specs, prices, inventory—all crammed into one grid. You send it to operations, and they have to manually pick through it. You send it to developers, and they have to write scripts to brute-force parse it. Every time there's an update, everyone has to start over. That's not data—that's torture for your team.
This is where the "CSV to JSON" tool comes in. Don't let the name scare you—what it does is dead simple: it turns those row-by-row tables in your Excel into JSON format that programs can read directly. What's JSON? Think of it as the "Mandarin" of the internet world. Once your data becomes JSON, whether you're passing it to a mini-program, an app, or throwing it at a backend database, they can all just open wide and swallow it—no need for you to translate again.
I've seen too many small teams where product data is just one Excel file being passed around in WeChat groups. The version number goes from "final" to "final v2" to "don't-you-dare-change-this version." Every time Apple drops a new product, you jump on the bandwagon and update a price, only to realize the inventory column wasn't synced—and a customer places an order before you notice there's no stock. That kind of pitfall only needs to happen once.
Using CSV to JSON is essentially the process of translating data from "human speak" into "machine speak." Your spreadsheet is still that spreadsheet, but after conversion, it comes alive. Operations can import it with one click, developers can connect directly via API, and you no longer have to be a human relay station. The time you save is enough to watch two more event replays—or just slack off for a bit.
Some might say, my data volume isn't big, I'll just do it manually. But think about it—Apple holds several events a year, and your product line only gets longer. The laziness you indulge today will come back doubled tomorrow. The point of tools is to keep you from being worn down by repetitive labor. Turning dead data in a spreadsheet into runnable JSON isn't hard, but it can turn you from a "spreadsheet jockey" back into someone who actually does product work.
So don't just gawk at what new color Apple rolled out. Look down at that Excel file—it might be gathering dust in a corner right now. Dump its contents out, convert them to JSON, and let the data go where it belongs. Your product data deserves a better fate than "final v3.0."