遇见数据集

Logistics

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Snowflake2023-03-08 更新2024-05-01 收录
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Elementum lets you leverage your Snowflake data in the form of data driven workflows without writing a single line of code. For Logistics, this means the data modeling and metadata generation necessary to address and manage Logistics Operations all from your data stored in Snowflake is immediate. Your data never leaves Snowflake. Use Case: Proactively address logistic challenges with your suppliers and partners, to avoid and reduce associated costs, delay impacts, and perishable products and increase revenues and avoid product shortages. Benefits: - No code. Point, click and go. -"Data driven workflows" and "dynamic relationships" will enable you to "action" on your logistics data stored in Snowflake. -”Data mining” combines and compares shipments with your internal and external event data subscriptions to proactively address potential challenges like shipping lanes, weather, and more. - Data never leaves Snowflake. - Logistic Operations Managements in 3 easy steps: Connect, Configure, Use. Expected workflow: 1. Click 'Request Data' on the right to submit your request. 2. We will get in touch to set up your account and provide you access via the Elementum Snowflake Datashare. 3. Set up connections to your Snowflake environment, use the Logistics workflows immediately.

提供机构:
Elementum
创建时间:
2023-03-08
搜集汇总
数据集介绍
Logistics 数据集图片
背景与挑战
背景概述
该数据集基于Elementum平台,利用Snowflake数据构建无代码的物流工作流,实现数据建模和元数据自动生成。它支持用户通过连接、配置和使用三步操作,主动管理物流运营以应对供应链挑战,同时确保数据始终存储在Snowflake中。
以上内容由遇见数据集搜集并总结生成
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