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让团队以数据驱动。
团队可使用自然语言进行查询，在工作进行过程中即时获得
保持数据完整性。
每个问题都会生成可供审查的 SQL，让数据团队能够调试、治理并信任结果。
固化业务逻辑。
数据团队可以指定定义和上下文，让答案反映组织衡量业务的真实方式。
连接到 Snowflake.
Computer 连接到已在支持分析、报告和业务运营的数据，让团队能够查询、理解并采取行动。
数据仓库 / 单一可信来源
答案
以通俗易懂的语言呈现，基于可信的组织数据。
Computer 如何连接 Snowflake。
从数据仓库连接到受治理答案的更简单路径。
连接到 Snowflake
管理员可在“组织设置”中连接 Snowflake，以使用已在支撑分析、报告和业务运营的数据。
Computer 学习你的数据
Computer 会构建一个上下文层，捕捉重要的表、列、关系、查询模式和业务背景。
团队提出问题
团队向 Computer 提问，Computer 会利用上下文层，以自然语言检索并返回相关结果。
管理员始终掌控全局
管理员可以随业务定义的变化编辑并更新上下文层。反馈和更新后的上下文可改善整个组织的回答质量。
依靠企业级安全保障。
受控访问
Computer 遵循您现有的 Snowflake 安全模型，包括基于角色的访问控制，以及列级和行级数据策略。
安全管理
Computer 采用现有的网络限制、基于 OAuth 并支持 MFA/SSO 的身份验证，以及完整的审计日志记录。
数据隐私
上下文层对你的组织保持私密，你的数据绝不会用于模型训练。