Dataset opportunity
Energy Electrical — Public Procurement Dataset Opportunity
由 Energy Electrical 持有的庞大公共采购数据集，可用于招标情报和文档情报。
Score
80.5
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
获取
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)
全球招标管理软件市场预计在 2026 年为 14.5 亿美元，预计复合年增长率为 10%（2026-2035 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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- ✨Signal
使用最新的技术、工具和测试设备来实现节能方法
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Profile
Dataset profile
Type
公共采购数据集
Modality
文本
Sector
工业
Volume
大
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
GovTech 和采购情报供应商
Energy Electrical 持有一个有价值的公共采购数据集，其数据模式为文本，包含详细的 `industrial_data`、`iot_data`、`maintenance_logs` 和 `procurement` 记录。这些数据深入揭示了工业电气系统的运行生命周期和采购模式，使其成为招标情报用例的丰富来源，能够让 AI 预测维护需求、了解组件故障率并预测类似工业客户未来的采购需求。
全球招标管理软件市场预计在 2026 年价值约 14.5 亿美元，并在 2026 年至 2035 年间以 10% 的复合年增长率扩张。[1] 这一显著增长凸显了提供竞标流程竞争优势的数据需求。虽然访问需要导航内部系统和潜在的保密协议，但这些历史和实时运营数据的稀有性和详细程度提供了独特的优势，证明了 AI 买家为在工业采购领域占据主导地位而进行谈判的努力是值得的。⚠ 尽职调查（有价值的数据，可协商访问）：数据可能存在于内部维护管理系统或 PDF 测试报告中；关于现场基础设施的客户保密协议可能需要审查；历史数据可能需要从遗留测试设备日志中提取 · 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来自公共采购生命周期的专有数据，包括直接参与招标阶段。该数据集对于寻求训练招标情报模型的 GovTech 和采购情报供应商来说是一项高价值资产。在全球招标管理软件市场预计以 10% 的复合年增长率增长的情况下，这种稀有的真实世界数据为预测中标率和分析采购模式提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity100
主导的“采购”，工业领域，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 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 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 Demand85
AI 买家需求旺盛，这得益于招标管理软件市场的显著增长，该市场正以 10% 的复合年增长率扩张，从而产生了对提供竞争优势的独特数据集的需求。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 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 License92
所有权=公司所有，许可=干净
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 Orientation39
1 个数据胃口信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等 — 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 Audit58
✓ 良好目标 — 该公司是一家电气承包商和批发商，而不是数据销售商，但没有证据表明它拥有任何独特的、有价值的数据集作为其运营的副产品。问题：初始提示提到了“公共采购数据集”，但没有证据将该公司与此类数据集联系起来。该公司的业务是电气；多个不同的英国公司在类似名称下运营，如“Energy Electrical Contracting Ltd”和“Energy Electrical Distributors Limted”，造成混淆；核心业务是提供电气服务和销售电气产品，而不是一个固有地生成专有或小众数据的商业模式。
- Deep Qualification20
⚠ 需要审查 — 目标是一家服务提供商，其数据副产品（维护日志）高度相关，但这些数据几乎肯定归其客户所有，使其无法进行第三方货币化。[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.
Procurement / tenders
客户评价证实了持有者直接参与概念和招标阶段，为训练招标情报模型提供有价值的文本数据，用于中标语言和流程。
Maintenance logs
此样本表明存在年度服务合同的时间序列维护日志，为资产管理平台提供设备故障和预防性维护计划的预测性见解。
Industrial data
持有者在化工厂和研发设施等各种工业环境中执行安装和测试，表明存在可用于基准测试效率和安全合规性的运营时间序列数据。
IoT / sensor data
安装智能照明和光纤网络的证据表明收集了物联网数据，这对于训练优化能耗和管理网络基础设施性能的模型至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Energy Electrical Public Procurement — a Large public procurement dataset (Text modality) in the industrial domain. Primary AI use-case: Tender Intelligence. Market signal: Global Tender Management Software Market estimated at USD 1.45 Billion in 2026, with a projected CAGR of 10% (2026-2035) (source: Market Research Future). Investment score 80.5/100 (confidence 0.62). Recommended action: Acquire.
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