Data today is messy, scattered, and harder to manage than ever. What used to be simple piles of spreadsheets has spiraled into a chaotic web of legacy systems, cloud databases, end-user apps, and the occasional paper file someone refuses to digitize. Each system speaks its own “data dialect,” making integration feel like conducting an orchestra with no rehearsal. That’s why…
