Draup Talent Intelligence Datasets
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## Draup Talent Intelligence Datasets – Snowflake Marketplace Subscription Description
**Unlock Global Talent Insights for Strategic Workforce Planning and Acquisition**
Draup Talent Intelligence datasets provide enterprises with comprehensive, AI-powered labor market intelligence to drive informed talent decisions at scale. Trusted by 270+ leading organizations, Draup’s datasets offer unparalleled coverage and actionable insights across the entire talent lifecycle—from workforce planning and recruitment to upskilling, DEI initiatives, and location strategy
**Key Features**
- **Extensive Global Coverage:** Access data on 850M+ professionals, 550M+ job postings, 12K+ skills, 4M+ career paths, 56K+ technologies, and 33 industry verticals across 140+ countries
- **End-to-End Talent Lifecycle Support:** Plan, hire, and upskill your workforce with intelligence spanning workforce planning, recruitment, reskilling, and retention
- **Advanced AI & Human Curation:** Leverage insights powered by machine learning, natural language processing, and expert human validation for bias-free, up-to-date data
- **Predictive Skills Architecture:** Move beyond job titles to identify emerging skills, build agile teams, and align talent with business objectives
- **Diversity, Equity & Inclusion (DEI):** Build diverse, future-ready teams with datasets designed to support DEI-compliant hiring and workforce strategies
- **Location & Peer Benchmarking:** Analyze talent availability, cost, and skill trends by region, and benchmark against industry peers for strategic decision-making
**Use Cases**
- Optimize talent acquisition and retention strategies
- Develop data-driven workforce plans and reskilling programs
- Benchmark talent strategies against industry leaders
- Enhance DEI outcomes in hiring and workforce management
- Inform global location and expansion strategies
**Subscription Details**
- Delivered natively within Snowflake for seamless integration and analytics
- Flexible subscription plans with recurring billing options
- Free trial available for marketplace subscribers
- Data refreshed continuously to ensure real-time accuracy
**Who Should Subscribe**
- HR and Talent Acquisition Leaders
- Workforce Planners and Strategists
- Business and People Analytics Teams
- DEI and HR Transformation Leaders
- Enterprise Leaders seeking global labor market intelligence
**Accelerate your workforce transformation with Draup’s market-leading talent intelligence—now available as a subscription on the Snowflake Marketplace.**
提供机构:
Draup, Inc.
创建时间:
2025-06-26
原始信息汇总
Draup Talent Intelligence Datasets
数据集概述
- 提供商: Draup, Inc.
- 试用: 30天免费试用
- 订阅类型: Snowflake Marketplace订阅
- 数据更新频率: 每月
- 地理覆盖范围: 全球,按城市细分
数据集描述
Draup Talent Intelligence数据集为企业提供全面的、AI驱动的劳动力市场情报,用于大规模做出明智的人才决策。数据集涵盖整个人才生命周期,包括劳动力规划、招聘、技能提升、DEI倡议和位置策略。
关键特性
- 全球覆盖:
- 8.5亿+专业人士
- 5.5亿+职位发布
- 12,000+技能
- 400万+职业路径
- 56,000+技术
- 33个行业垂直领域
- 140+国家
- 人才生命周期支持: 涵盖规划、招聘、再培训和保留
- 高级AI与人工验证: 结合机器学习和自然语言处理,提供无偏见、最新数据
- 预测性技能架构: 识别新兴技能,构建敏捷团队
- 多样性、公平与包容(DEI): 支持DEI合规的招聘和劳动力策略
- 位置与同行基准: 按地区分析人才可用性、成本和技能趋势
使用案例
- 优化人才获取和保留策略
- 制定数据驱动的劳动力计划和再培训计划
- 与行业领导者进行人才策略基准测试
- 提升DEI成果
- 支持全球位置和扩展策略
订阅详情
- 原生集成到Snowflake中
- 灵活的订阅计划和定期账单选项
- 提供免费试用
- 数据持续刷新以确保实时准确性
目标用户
- HR和人才获取领导者
- 劳动力规划者和策略师
- 商业和人员分析团队
- DEI和HR转型领导者
- 寻求全球劳动力市场情报的企业领导者
数据字典
- ACCOUNT_FINANCIALS_BY_REGION
- ENROLLMENT_BY_ETHNICITY_GENDER_DEGREE
- EXECUTIVE_METRICS
- JOB_ROLE_COUNTRY_TALENT_MOVEMENTS
- JOB_ROLE_MSA_TOP_COMPETITORS
- 其他89个对象
使用示例
- 职位角色劳动力市场洞察: 提供职位角色级别的劳动力洞察,包括人才供应、需求量和招聘难度。
- 综合大学人口统计和学术数据: 提供详细的大学级别数据,包括人口统计、按年龄和性别的入学趋势、学位课程等。
- 班加罗尔公司数据科学人才映射: 识别在班加罗尔雇佣数据科学家的公司,包括高管的详细信息。
联系信息
- 销售: vamsee@draup.com
- 支持: support@draup.com
云区域可用性
- AWS:
- 非洲(开普敦)
- 亚太(雅加达)
- 亚太(孟买)
- 亚太(大阪)
- 其他45个区域
关于Draup, Inc.
Draup是全球劳动力和市场情报的领先提供商,为270多家企业提供AI驱动的洞察,用于销售、劳动力规划和人才获取。Draup在Snowflake Marketplace上提供精选数据集,包括100万+公司的账户情报、8.5亿专业人士的人才洞察以及56,000+技术和8,500劳动力提供商的分析。
搜集汇总
数据集介绍

背景与挑战
背景概述
Draup人才智能数据集提供覆盖140+国家、8.5亿专业人士的全球劳动力市场AI分析,包含技能架构、DEI指标等关键维度,支持从招聘规划到技能再培训的全周期人才管理。该数据集通过Snowflake平台提供订阅服务,支持实时数据更新和行业基准对比。
以上内容由遇见数据集搜集并总结生成



