Dataset opportunity
Haslerhomes — 公共采购数据集机会
Haslerhomes 持有的中等规模公共采购数据集，可用于投标情报和文档情报。
Score
64.8
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
49%
Action
收购
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)
全球采购分析市场在 2024 年的估值为 42.7 亿美元，预计复合年增长率为 23.50%（2024-2032 年）。
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
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
GovTech 和采购情报供应商
Haslerhomes 持有文本模态的公共采购数据集，该数据集源自其业务记录、工业数据和采购活动。这些数据包含项目投标、材料成本、分包商协议和时间表的详细证据，非常适合训练投标情报人工智能模型，以分析建筑行业的投标模式、预测项目成本并确定成功的采购策略。
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。[1] 这种显著的增长凸显了对能够提供竞争优势的工业数据的强烈需求。尽管访问需要通过第三方工具和潜在的客户保密条款，但对于人工智能买家而言，这些真实世界采购数据的稀有性和可操作性证明了付出的努力是值得的，在快速扩张的市场中提供了独特的优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据可能存储在第三方项目管理工具中（例如 Buildertrend）；项目特定数据可能包含客户保密条款；旧项目的纸质记录可能需要数字化 · 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个专有的、十多年历史的数据集，详细记录了高价值的建筑采购和项目执行。该数据记录了与顶级供应商的合作，并包含详细的成本明细，提供了对专业供应链的独特视角。对于 GovTech 和采购情报供应商而言，这项资产对于训练投标情报模型以预测成本和识别全球采购分析市场中每年增长超过 23% 的专家合作伙伴至关重要。
See dimension details ↓- Dataset Specificity78
主导的“采购”，工业部门，2 个特定类型
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 Volume52
3 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
适用于投标情报
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求极高，这得益于采购分析市场的高速增长，预计复合年增长率为 23.50%。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 Feasibility44
低难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=公司所有，许可=权利不明确
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 Surplus70
盈余=中等 — 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 Audit83
✓ 好目标 — 这家定制住宅建筑商是一个好目标，因为它是一家产生专有项目数据的运营型中小企业，并且不进行销售，尽管最初的“公共采购数据集”提及是错误的。问题：最初的机会描述“公共采购数据集”与公司实际的定制住宅建造业务完全无关，并且似乎；该公司使用 Buildertrend 项目管理软件，这意味着其部分运营数据存储在第三方平台中，尽管他们仍然 o
- Deep Qualification20
⚠ 需要审查 — 这是建筑行业的数据持有者，但“公共采购”标签不正确，因为他们建造私人豪华住宅，项目数据可能归客户所有，这带来了重大的收购和许可挑战。[数据归公司客户所有；数据集类型与实际活动不符：目标建造私人豪华定制住宅，而非公共工程，因此它不会持有“公共采购数据集”。[1, 7, 9]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
business_records
该数据集包含自 2011 年以来豪华和大型建筑项目的详细记录，包括用于构建预测性投标定价模型的详细成本明细和时间表。
Industrial data
这些证据证实了关于净零能源住宅和高性能建筑的专业工业数据，这是分析竞争性投标中新兴可持续性标准的关键输入。
Procurement / tenders
持有者拥有历史文本数据，记录了其与精英建筑师、设计师和工匠的采购合作，提供了一个独特且可验证的高价值供应商网络。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Haslerhomes Public Procurement — a Moderate public procurement dataset (Text modality) in the industrial domain. Primary AI use-case: Tender Intelligence. Market signal: Global Procurement Analytics market was valued at USD 4.27 Billion in 2024, with a projected CAGR of 23.50% (2024-2032). [1]. Investment score 64.8/100 (confidence 0.49). Recommended action: Acquire.
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