Society & Culture
Take clothing sales as an example—by comparing data from 2022 and 2023, you can uncover the reasons behind a sales spike. Was it the store location? The vendor? Maybe the product category or item description? With this feature, organizations across industries can dive deep into their data, unravel the mystery of fluctuations, and make smarter, data-driven decisions.