Dataset opportunity
Sps Security — 公共采购数据集机会
Sps Security 持有的海量公共采购数据集，可用于招标情报和文档情报。
Score
79.9
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
74%
Action
数据共享协议
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球采购分析市场 = 2024 年为 42.7 亿美元，复合年增长率为 23.50%。
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
公共采购数据集
Modality
文本
Sector
其他
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
GovTech 和采购情报供应商
Sps Security 持有文本模态的公共采购数据集，包含广泛的 business_records、event_streams、inspection_records 和 procurement data。这种丰富的组合提供了对历史和当前运营需求、安全要求和合同规范的深入、细粒度洞察，使其对于招标情报AI用例特别有效，能够预测未来招标需求和竞争对手策略。
全球采购分析市场在2024 年的价值为 42.7 亿美元，预计将以 23.50% 的复合年增长率增长，这表明买家对此类数据的需求非常强烈。[2] 虽然访问需要应对严格的 GDPR 合规性、客户保密性以及区域控制室中孤立的数据，但该数据集将采购历史与 `iot_data` 等运营日志和安全事件日志独特地融合在一起，为在投标过程中创造决定性的竞争优势提供了稀有、高价值的资产。[2] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：安全事件日志包含敏感的 PII 和特定站点的漏洞；数据访问需要严格的 GDPR 合规性和客户保密性审查；运营数据孤立在区域控制室（赫尔、格里姆斯比、林肯）中 · corporate: independent。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了持有者拥有来自实体安全行业的丰富的专有招标提交、合规文档和运营绩效记录数据集。这些数据直接服务于高增长的 GovTech 和采购情报市场，使 AI 买家能够构建复杂的招标情报模型，用于分析投标、基准供应商和预测合同结果。在全球采购分析市场预计每年增长超过 23% 的情况下，该数据集提供了一个难得的机会，可以对供应商入职和绩效的真实情况进行 AI 培训。
See dimension details ↓- Dataset Specificity86
主导的“采购”，行业其他，4 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity94
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume82
8 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value94
适用于招标情报
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
AI 买家需求极高，这得益于采购分析市场预计 23.50% 的复合年增长率，因为公司积极寻求数据驱动的竞争优势以进行竞标。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength100
6 种证据类型，8 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=公司所有，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据需求信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit100
✓ 良好目标 — 这是一个有力的目标；它是一家区域性英国安保服务中小企业，其核心业务不是销售数据，而是作为其安保、巡逻和监控活动的副产品生成有价值的专有运营数据。问题：初始描述“公共采购数据集”似乎不适用于该公司；其业务是实体安保服务，而不是数据销售。[13；该公司已构建了一个免费的 AI 驱动的“决策支持”工具用于潜在客户开发，该工具使用一些外部数据（如犯罪统计数据）但不销售其专有数据；“SPS Security”这个名字非常通用，容易与美国和国际上其他多家非关联的安保公司混淆。[2, 4, 5]
- Deep Qualification90
⚠ 需要审查 — SPS Security 是一家区域性安保服务提供商，而不是数据销售商。其运营数据是副产品，可能归客户所有，其隐私政策禁止出售个人数据。数据集与机会的标签或指定的细分市场不符。[数据归该公司客户所有；许可受限；实体不持有细分市场的特征数据：目标提供英国的区域性民用安保服务，生成本地巡逻和事件数据。这与高层“国防和安全运营与情报”的细分市场特征数据（如军事更新或地缘政治分析）不符；数据集类型与实际活动不符：目标的核心业务是提供实体安保服务（安保、巡逻）；其主要数据副产品是运营数据（GPS 日志、事件报告），而不是“公共采购数据集”。]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Knowledge base / docs
这些文本数据包括官方认证和合规文档，对于自动化供应商审查和风险评估的 AI 模型至关重要。
Procurement / tenders
这些是核心的招标文件和提案文本，直接为招标情报、投标分析和响应生成提供 AI 模型。
IoT / sensor data
来自GPS 报告的这些时间序列数据提供了服务交付的可验证证明，使 AI 工具能够监控和审计合同绩效。
Event streams
该数据集包含带时间戳的事件报告，允许 AI 平台对运营风险进行建模，并构建高级绩效分析以进行供应商评估。
business_records
这些结构化的业务记录包含关键绩效指标，如平均响应时间，为基准供应商提供了宝贵的数据。
Inspection reports
这些记录的检查记录提供了服务交付的细粒度视图，非常适合训练 AI 模型进行合规性验证和自动化审计。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Sps Security Public Procurement — a Large public procurement dataset (Text modality) in the other domain. Primary AI use-case: Tender Intelligence. Market signal: Global procurement analytics market = $4.27 Billion in 2024, CAGR 23.50% (source: Data Bridge Market Research). [2]. Investment score 79.9/100 (confidence 0.74). Recommended action: Data Sharing Agreement.
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