Data Product Studio

**Your data warehouse has the tables. It's missing the business language.**

When you migrated from your ERP and business systems to Snowflake, the tables came across. The business context didn't. Dimensional models built from database column names nobody understands. Governance bolted on after the fact. <br/><br/>Every new use case starts from scratch. Unified Honey's Data Product Studio inverts this. It starts from your business, not your data. You define your domain and processes. The platform designs entity models, data products, and governance from that knowledge. A visual designer connects your source systems with data profiling and business naming. <br/><br/>The result: governed dimensional models, metrics, and semantic views that speak your business language.<br/><br/>**How it works.**

Select your domain and process. The Data Product Studio generates entity models and process maps from your business knowledge. No pre-built libraries. <br/><br/>Works for any domain, any process. Group entities into governed data products. Governance is defined at the business level before any source data is connected. Access controls, validation, and lineage map to business concepts, not table names. Open the visual designer. Connect your source systems, profile the data, and define Facts and Dimensions using business naming. The output speaks your language, not your database's. <br/><br/>Governed metrics are generated for each data product and build the semantic views. Every output is tagged with process knowledge, enhancing the context available to analysts and AI agents.<br/><br/>**What you get.**

Governed data products designed from domain and process knowledge, not reverse-engineered from schemas. Governed metrics defined once, consistent across every dashboard, report, and team. <br/><br/>Same question, same answer, regardless of who asks. Dimensional models using business language. Facts and Dimensions your teams can read without a translator. Semantic views tagged with process knowledge. <br/><br/>The governed data foundation your AI strategy requires. A golden thread of traceability: provable lineage from process definition to final output.<br/><br/>**Works for any domain:**

Maintenance intelligence, financial reporting and audit, inventory management, procurement, production, supply chain, workforce analytics, safety, and any custom domain. <br/><br/>Each new domain builds on entity definitions from the last. Runs inside your Snowflake account as a Native App. No additional infrastructure. No data leaves your environment.<br/><br/>A Snowflake Native App from a Snowflake Startup Accelerator company. Patent pending on process-aware automatic generation.

原始信息汇总

数据产品概述

Data Product Studio 是一个 Snowflake 原生应用（Native App），专注于从业务知识出发，自动生成受治理、符合业务语言的数据产品、维度模型和语义视图。

核心功能与工作流程

• 业务驱动设计：用户定义领域和流程，平台据此自动生成实体模型和过程映射，不依赖预置库，适用于任何领域。
• 可视化设计器：连接源系统，进行数据剖析，并使用业务命名定义事实表和维度表。
• 治理前置：在连接任何源数据前，于业务层面定义访问控制、验证和血缘关系。
• 语义视图与指标：为每个数据产品生成受治理的指标，构建语义视图，所有输出均标记过程知识。

关键特性

• 行业领域适用性：支持维护智能、财务报告与审计、库存管理、采购、生产、供应链、劳动力分析、安全及任何自定义领域。
• 运行环境：作为 Snowflake 原生应用，运行在用户 Snowflake 账户内，无需额外基础设施，数据不离开用户环境。
• 可追溯性：提供从流程定义到最终输出的“金线”可追溯性。

业务需求场景

• 监管报告：提供从流程定义到最终报告数字的可证明可追溯性，确保跨实体和期间的计算一致性。
• 库存管理：基于库存与采购流程设计数据产品，财务与运营获得单一、统一的业务语言视图。
• 供应链：连接采购、物流、生产、财务流程，生成一致定义的成本、瓶颈和服务水平指标。
• 财务规划与分析：统一财务与运营数字，定义一致的利润率、价格敏感度、单位成本等指标。
• 人力资源劳动力分析：定义人员编制、流失率、出勤率、加班、培训合规等指标，并与运营和财务数据关联。
• 业务线：支持 CRM、LIMS、MES、SCADA 等任何源系统，每个新领域可复用已有实体定义。

安全与治理

• 安全审查：已完成 Snowflake 安全审查。
• 访问控制：基于 Snowflake 角色的访问控制（RBAC）。
• 推荐权限：安装后按需授予账户级别权限、对象权限、连接权限与应用事件权限。

定价与试用

• 试用：14 天限时、功能试用，可免费部署前三个数据产品。
• 定价：需通过页面“Get Unlock New Insights”按钮联系获取。

交付与联系信息

• 交付方式：Native App
• 法律条款：标准
• 联系邮箱：[e-mail]（销售与支持）

类别

• Analytics Tools
• Cortex AI Ready
• Data Engineering
• Inventory Management
• Regulatory Reporting
• Supply Chain