Draup - Outsourcing Deals Data

**Overview**

Draup’s Outsourcing Deals dataset provides deep visibility into how enterprises engage with service providers to delegate business functions and workloads. It captures structured intelligence on outsourcing partnerships, including deal scope, project timelines, workloads involved, and the skills or technologies applied. By linking company and provider profiles, the dataset surfaces the context of vendor engagements and their alignment with strategic priorities.

This data enables sourcing, strategy, and market intelligence teams to benchmark outsourcing practices across industries, identify major service provider relationships, and evaluate workload distribution by geography and function. It supports sales teams in spotting active deals and competitive activity, while advisors and vendor managers can use it to assess partnership intensity, monitor vendor ecosystems, and inform negotiation strategies.

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**Methodology & Quality**

Outsourcing data is aggregated from a combination of public disclosures, proprietary signals, and curated sources, then normalized into a consistent schema of companies, service providers, workloads, and business functions. Draup standardizes vendor taxonomies and workload classifications, applies evidence tagging for digital technologies, and refreshes data frequently to capture new deals and contract updates. This ensures accuracy, comparability across industries, and the ability to trace relationships over time.

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**Key Tables Include**

o   **Company–Service Provider Engagements**: outsourcing projects with company, service provider, locations, workloads, functions, project timelines, technologies, and skills.

o   **Deal Intensity Metrics**: engagement footprint, outsourced workload intensity, and geographic distribution of service providers.

o   **Relationship Insights**: highlights of provider–company partnerships, outsourced size, key locations, and notable relationship details.

原始信息汇总

Draup - Outsourcing Deals Data 数据集概述

数据集简介

Draup的Outsourcing Deals数据集提供企业将业务功能和工作负载委托给服务提供商的结构化情报，涵盖交易范围、项目时间表、涉及的工作负载以及应用的技能或技术。该数据集链接公司和服务提供商档案，揭示供应商合作的背景及其与战略优先事项的一致性。

方法论与质量

外包数据通过公共披露、专有信号和精选来源的组合进行汇总，然后规范化为公司、服务提供商、工作负载和业务功能的一致模式。Draup标准化供应商分类和工作负载分类，应用数字技术的证据标记，并频繁刷新数据以捕获新交易和合同更新，确保跨行业的准确性和可比性，以及随时间跟踪关系的能力。

关键数据表

• Company–Service Provider Engagements：外包项目，包括公司、服务提供商、地点、工作负载、功能、项目时间表、技术和技能。
• Deal Intensity Metrics：参与足迹、外包工作负载强度和服务提供商的地理分布。
• Relationship Insights：提供商与公司合作伙伴关系的亮点、外包规模、关键地点和显著关系细节。

数据字典

• COMPANY_OVERVIEW
• VW_DEALS_COMPANY_SERVICE_PROVIDERS
• VW_DEALS_COMPANY_SERVICE_PROVIDERS_INSIGHTS
• VW_DEALS_COMPANY_SERVICE_PROVIDERS_INTENSITY

使用示例

• 发现将数据工程工作外包给印度的账户：使用Draup的外包交易数据识别哪些公司在哪里使用外包服务进行特定功能。按提供商、客户位置、供应商位置和功能进行筛选，以定位具有离岸依赖性的高潜力公司。
• 揭示竞争对手跨垂直领域的工作负载份额：快速识别竞争对手服务提供商如何跨行业和业务功能分配其外包工作负载，并将其客户足迹与自己的进行基准测试。
• 为目标账户映射服务提供商合作伙伴足迹：全面了解公司的所有服务提供商合作伙伴生态系统。能够按服务提供商、功能、工作负载、利用的技术堆栈或交付位置筛选外包交易数据，以了解竞争格局或合作伙伴机会。