Can small and medium-sized trading companies really implement "data-driven" approaches, or is this only for large enterprises?

The barrier to data-driven decision-making is lower than most people think. The key is not company size but whether data is completely preserved. Many SMEs have orders scattered in spreadsheets, inquiries lost in emails, and quotes stored on individual computers—no single place to view all this information together. The first step to improvement is often not implementing complex analytics tools, but ensuring every inquiry, quotation, and order is recorded electronically and easily retrievable and exportable later. With clean raw data, whether you organize it yourself in Excel or later connect more advanced analytics tools, it's far easier than starting from scratch. Data-driven decision-making is a continuous accumulation process, not a one-time system implementation.

Adoption processData preparationROI & evaluationFrom 第8章|銷售數據如何驅動生產智慧與品牌戰略