Dataset opportunity
Atkinsonsbullion — 公共采购数据集机会
Atkinsonsbullion 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
66
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
62%
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.
Profile
Dataset profile
Type
公共采购数据集
Modality
文本
Sector
金融
Volume
大型
Freshness
定期
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
Atkinsons Bullion 持有一个独特的公共采购数据集，其中包含来自贵金属市场的详细交易数据、业务记录和采购日志。这个文本数据集提供了对客户购买行为的深入见解，包括高净值个人的投资模式，使其对于专注于竞争定位和供应链分析的招标情报用例极具价值。
全球采购分析市场在 2024 年的估值为 42.7 亿美元，预计将以 23.50% 的复合年增长率增长（来源：Data Bridge Market Research）。[3] 尽管存在显著的 GDPR 和 AML 敏感性，但该金融交易记录数据的稀有性和深度，揭示了高净值个人的投资策略，提供了复杂的访问谈判所能证明的独特竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：由于金融交易记录和客户 PII，GDPR 和 AML 敏感性高；数据包括高净值个人的投资模式；实物存储数据的归属增加了安全/隐私复杂性 · 公司：独立。
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一项专有数据集，详细说明了实物资产（特别是贵金属）的私人采购和长期持有。这些数据对于寻求模拟替代投资趋势和资产配置的金融和经济情报平台极具价值。在动荡的市场中，了解投资者如何使用税收优惠的实物资产（如法定货币硬币）可以提供独特的预测信号，对于任何在快速增长的 42.7 亿美元采购分析市场运营的公司来说，这都是一项至关重要的补充。
See dimension details ↓- Dataset Specificity78
主导的“采购”，金融行业，2 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 Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume76
7 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适合招标情报
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
人工智能买家需求旺盛，这得益于采购分析市场的快速增长，该市场正以 23.50% 的复合年增长率扩张，表明对专业数据集的需求强劲。[3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
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 Strength83
4 种证据类型，7 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 Orientation22
0 数据胃口信号（0 类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 超出已货币化的专有数据
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 Audit92
✓ 良好目标 — 这家英国贵金属零售商是理想目标；其核心业务是销售实物商品，这会产生有价值的交易和定价数据副产品，而这些数据似乎并未货币化。问题：该公司 49.5% 的股份由 Gold.com（前身为 A-Mark Precious Metals）持有，这是一个大型、上市公司组成的全球平台，这可能会使决策复杂化。[4, 9]
- Deep Qualification90
⚠ 需要审查 — 目标是一家 B2C 贵金属零售商，而非公共采购的参与者；所谓的“公共采购数据集”是不可能的，并且歪曲了他们实际的数据资产，该资产由受 GDPR 和 AML 法规管辖的高度敏感的 B2C 交易记录组成。[许可受限；数据集类型与实际活动不符：假设错误地将数据集标记为“公共采购数据集”。目标是面向个人和投资者的 B2C 贵金属零售商，而非政府招标的参与者。[1, 2, 3]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Procurement / tenders
这些文本数据记录了金条收购的具体财务和监管背景，强调了其作为法定货币的地位及其资本利得税豁免，这些是英国投资者的关键驱动因素。
User-generated content
这些证据包括经过验证的客户评论，提供了对购买行为和服务满意度的定性见解，可用于情绪分析。
Transaction data
该数据集包括详细的买卖订单交易记录，提供了产品需求、市场时机和投资量的定量视图。
business_records
这些文件通过客户持有安全存储资产的数据揭示了长期投资趋势，提供了关于投资者信心和资产配置策略的独特信号。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Atkinsonsbullion Public Procurement — a Large public procurement dataset (Text modality) in the finance 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). Investment score 66.0/100 (confidence 0.62). Recommended action: Data Sharing Agreement.
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