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官方來源· AWS Artificial Intelligence· AI· 發布於 2026年9月30日
Datacor 將自助式租賃分析嵌入 TrackAbout，結合 Quick Sight 儀表板與自然語言查詢
AWS 於 2026 年 9 月 25 日介紹 Datacor 如何為氣體與焊接產品經銷商打造自助式租賃分析體驗。方案把 Amazon Quick Sight 儀表板和自然語言查詢嵌入 TrackAbout，並以自動化跨雲資料管線及多租戶資料列層級安全作為支援。
完整報導
AWS 於 2026 年 9 月 25 日發布 Datacor 案例，介紹該公司如何為氣體與焊接產品經銷商建立自助式租賃分析體驗。這項體驗整合進 Datacor 的 TrackAbout 平台，讓使用者可透過內嵌的 Amazon Quick Sight 儀表板和自然語言查詢使用分析功能。
依 AWS 的介紹，整套方案由自動化跨雲資料管線支援，並採用多租戶資料列層級安全。前者負責資料管線，後者則是方案所列出的租戶層級資料存取控制方式；公告未在摘要中提供更多架構細節。
這個案例也出現在 AWS 近期持續整理 Amazon Quick 使用方式的脈絡中。AWS 於 9 月 29 日發布的另一篇提示工程文章，涵蓋五類 Amazon Quick 元件，當中包括 Quick Sight；該指南與 Datacor 案例各自聚焦於產品使用方式與客戶實作，並非同一項公告。
為什麼值得注意
此案例把租賃分析、儀表板與自然語言查詢放進經銷商使用的 TrackAbout 平台，同時列出跨雲資料管線和多租戶資料列層級安全。對讀者而言，這說明方案不只涉及分析介面，也涵蓋資料流與不同租戶的存取控制。
來源證據
先看主要證據，再查看佐證來源與來源脈絡。
主要證據
1How Datacor built self-service rental analytics with Amazon Quick Sight
Deepthi Paruchuri
“Learn how Datacor built a self-service rental analytics experience for gas and welding distributors by embedding Amazon Quick Sight dashboards and natural language querying into its TrackAbout platform, powered by an automated cross-cloud data pipeline and multi-tenant row-level security.”
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