遇见数据集

Redpoint Identity Studio

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Snowflake2026-05-28 更新2026-06-02 收录
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Redpoint Identity Studio is a Snowflake Native App that resolves customer identities at the individual and household level natively inside your Snowflake account. Powered by more than two decades of identity resolution expertise, Redpoint Identity Studio pairs configurable, rules-driven matching with a full, user-friendly UI. Data teams can configure match logic, inspect every merge decision, run A/B experiments and promote changes to production, all without writing custom code. <p><br/></p> Expected Workflow: 1. Load source data — Map your customer records into the SHARED.INPUT table using the guided onboarding wizard (optional Cortex-assisted field mapping). 2. Run the match — Click "Run Production" in the web application or call the run_match_job Snowflake UDF from your own orchestration (dbt, Airflow, Snowflake Tasks, or any SQL-based scheduler). 3. Read results — Query SHARED.MATCH_RESULT and join resolved identity groups back to your downstream Snowflake objects: dashboards, CDP, ML feature stores, or operational systems. Configuration, experimentation, and ongoing stewardship are managed entirely through the Redpoint Identity Studio web application — no code required. <p><br/></p> Key Capabilities: - One-click initialization with tightness sliders auto-generates a complete matching ruleset from your data schema in minutes - Built-in global address standardization, phonetic algorithms (4), name normalization, phone and email normalization, with no separate hygiene tool required - A/B experiment framework lets you test alternative rulesets against real data and compare outcomes before promoting any change to production - Randomized human review workflow for steward validation of match group changes - Persistent identity keys remain stable across incremental runs, protecting downstream models, dashboards, and longitudinal analyses from drift and breakage - Full audit trail (15 activity types) for compliance and governance - Individual and household-level identity hierarchy support <p><br/></p> Redpoint Identity Studio keeps the process transparent, customer-controlled, configurable, and within their Snowflake AI Data Cloud. Identity keys remain persistent across runs, so downstream dashboards, AI models, and operational systems remain stable even as new data flows in. <p><br/></p>

提供机构:
Redpoint Global Inc.
创建时间:
2026-05-05
原始信息汇总

数据集概述:Redpoint Identity Studio

平台与提供者

  • 平台:Snowflake Marketplace
  • 提供者:Redpoint Global Inc.

类型:Snowflake Native App

核心功能

  • 在 Snowflake 环境中对客户身份进行个体和家庭级别的解析与匹配。
  • 提供可配置的规则驱动匹配,支持用户自定义匹配逻辑,无需编写代码。
  • 内置A/B实验框架,可在真实数据上测试不同规则集,比较结果后推送到生产环境。
  • 支持整体地址标准化语音算法(4种)、姓名、电话和电子邮件标准化,无需额外数据清洗工具。
  • 提供持久化身份键,在增量运行间保持稳定,避免下游模型、仪表板和纵向分析出现漂移或中断。
  • 支持个体与家庭级别的身份层级结构维护。
  • 包含全面审计追踪(15种活动类型)以支持合规与治理。
  • 内置随机人工审核工作流,用于对匹配组变更进行合规验证。

预期工作流

  1. 加载源数据:通过引导式向导(可选 Cortex 辅助字段映射)将客户记录映射到 SHARED.INPUT 表。
  2. 运行匹配:在 Web 应用程序中点击“Run Production”,或调用 run_match_job UDF 通过自己的编排工具(如 dbt、Airflow、Snowflake Tasks 等)执行。
  3. 读取结果:查询 SHARED.MATCH_RESULT,将解析后的身份组连接到下游的 Snowflake 对象(仪表板、CDP、ML 特征存储等)。

关键能力

  • 一键初始化,通过“紧密度滑块”根据数据模式自动生成完整匹配规则集(几分钟内完成)。
  • 匹配过程中集成数据清洗与标准化。
  • 支持360度客户视图数据质量与清洗身份解析Patient 360 等业务需求。

试用与定价

  • 试用:30天限时功能试用,匹配结果基于数据子集生成。
  • 定价:需通过“Get Unlock New Insights”按钮获取订阅信息。

安全

  • 基于 Snowflake Native Apps 框架,通过 Snowflake 安全审查。
  • 采用基于角色的访问控制(RBAC)。
  • 提供账户级别权限建议(连接、App 事件等)。

联系与文档

  • 销售邮箱:snowflake.apps@redpointglobal.com
  • 支持邮箱:support@redpointglobal.com
  • 法律条款:自定义
  • 交付方式:Native App

类别

  • 360-Degree Customer View
  • Data Engineering
  • Data Quality and Cleansing
  • Identity
  • Identity Resolution
  • Patient 360
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