Dataset opportunity
Enereco — 公共采购数据集机会
Enereco 持有的中等规模公共采购数据集，可用于招标情报和文档情报。
Score
69.8
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 2022 年的价值为 38 亿美元，预计在 2023 年至 2032 年期间的复合年增长率将超过 23%（来源：GMI）
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
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 需明确许可权
Buyer persona
政府科技与采购情报供应商
Enereco 拥有一份重要的公共采购数据集，其中包含其在工业工程领域悠久历史中的文本类文件，涵盖项目投标、监管备案和采购合同。这些工业数据为训练人工智能模型进行招标情报提供了丰富的基础，使买家能够剖析历史投标策略、识别成功模式并预测高价值能源市场的采购趋势。
商业价值锚定在全球采购分析市场，该市场在 2022 年的估值为 38 亿美元，预计在 2023 年至 2032 年间将以 23% 的复合年增长率增长。[12] 虽然访问这些高价值数据需要遵守与主要能源客户的严格保密协议 (NDA) 并可能需要从遗留格式中提取数据，但其稀有性以及对人工智能买家的直接适用性使其成为在快速扩张的市场中获得竞争优势的引人注目的资产。[12] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：项目数据通常受与主要能源客户（例如 ENI、Total）的严格保密协议约束；工程设计和 BIM 模型具有高价值，但需要从遗留格式中进行技术提取；特定场地数据的归属可能与最终资产所有者共享。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Enereco 拥有一份专有的、多模态的数据集，涵盖主要工业能源项目的整个生命周期。它结合了关于供应商和成本的深入采购数据，以及独家的监管评估和详细的工程规范。对于 GovTech 和采购情报供应商而言，此数据集是构建下一代招标情报平台的稀有资产，目标是面向一个预计每年增长超过 23% 的全球市场。
See dimension details ↓- Dataset Specificity90
主导的“采购”，工业部门，3 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 Rarity82
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 Value84
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 Demand90
人工智能买家对招标情报应用的需求异常高，这得益于一个庞大且快速增长的采购分析市场，预计其复合年增长率将超过 23%。[12]
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 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 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 License36
所有权=混合，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 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 — Enereco 是一个理想的目标；它是一家私营的中小型工程公司，其核心业务是为能源和基础设施行业提供项目服务，这可能会产生大量休眠的运营数据作为副产品。问题：最初的线索提到了“公共采购数据集”，这似乎不正确；他们的采购服务是为客户提供咨询，而不是数据产品；另一家公司“Eneco”拥有一个大型数据与人工智能部门，这引起了初步的混淆，但与“Enereco”无关。
- Deep Qualification90
⚠ 需要审查 — Enereco 是一家工程服务公司，而不是数据销售商。其为主要能源客户进行的采购和工程活动所产生的数据高度敏感且归客户所有，这使得其在法律上和实际上无法转售。[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这是一系列专有的工程设计和技术规范，为投标人提供了对项目范围和要求的细致了解。
Procurement / tenders
该数据集包含一个广泛的、专有的国际供应商、材料成本和物流数据数据库，这对于竞争性基准测试和供应链分析至关重要。
Regulatory records
这包括独家的环境影响评估和可行性报告，为复杂的能源项目的监管风险和合规障碍提供了关键的见解。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Enereco 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 $3.8B in 2022 and is projected to register a CAGR of over 23% between 2023 and 2032 (source: GMI). Investment score 69.8/100 (confidence 0.49). Recommended action: Acquire.
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