如果没有合适的云基础设施来有效管理供应链数据,这些数据将分散在整个扩展供应链中,无法实现集中管理、便捷访问或有效利用。
- Data Cloud & Platform

在不确定时期的应变能力
过去的碎片化技术无法应对当今的供应链挑战
缺乏连接性、集成性和自动化
传统的软件解决方案缺乏与 ERP、CRM、WMS、SCM 和电子商务的本地集成能力,阻碍了数据共享和流程自动化。
零散的数据掩盖了更广阔的视角
Even when accurate data sources are available, manual analysis requires a tremendous amount of time and is prone to errors.
繁琐的人工升级流程
复杂的解决方案升级和增强会减缓新创新功能、服务和安全措施的实施。
特性与功能
为您的组织带来认知升级的单一事实来源
Platform Data Cloud
让每个人都达成共识,达成一致结果
Eliminate data movements and unify data from across your supply chain in the data cloud. Get everyone aligned with a single source of truth for consistent, collaborative decision-making.
庞大的数据市场
触手可及的全面洞察
Enhance your models with data from Snowflake Marketplace to ensure your forecasts, plans, and AI and ML models accurately reflect your real-world business.
The Value of the Data Cloud
How the Platform Data Cloud addresses the complexity of today's supply chain
0 X
更快的数据摄取
0,000+
用于更快集成的 API
Blue Yonder 平台使这一切成为可能
Blue Yonder 领先的供应链平台和数据云可以改变您的供应链,降低汇集数据、跨应用程序工作以及与贸易伙伴合作所需的成本、复杂性和时间。
- Access more real-time, real-world, ready-to-query data to enhance and inform supply chain decisions so you can make better business decisions based on relevant market realities.
- 共享数据,根据洞察意见采取行动,并通过按需扩展进行跨组织协作,这样您就可以同时运行作业,做出更快速、更高质量的决策。
- 利用通用接口、工作流、内存多维数据集和数据库打破功能障碍,从而消除不必要的集成、提取或数据管理。
- Get more from your data with statistical forecasting, AI and ML, and your own applications to enhance accuracy and improve quality.
释放数据的价值
Snowflake 云架构为 Blue Yonder 和您提供支持
Blue Yonder 的供应链服务可在 Snowflake 云上原生运行。这使您能够在几分钟内而不是几天甚至几周内,针对不同的业务问题运行数百种不同的方案,从而将处理速度提高 10 倍,成本相应降低 20 倍。

Data sharing without the hassles
The Blue Yonder Data Share App simplifies data integration for Blue Yonder customers using Snowflake, regardless of their cloud provider or region. Cutting down on the complexity of data pipelines also accelerates time to value and minimizes operational overhead, so teams can concentrate on strategic initiatives. Available through a private listing in the Snowflake Marketplace, the Data Share App makes data-driven decisions even more efficient and scalable.
