Dataset opportunity
Dca Live — 维护日志数据集机会
Dca Live 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
48
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
合作（集团层面）
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)
全球预测性维护市场在 2025 年的估值为 142 亿美元，预计复合年增长率为 27.9%（2026-2033 年）（来源：Grand View Research）。[1]
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
维护日志数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Dca Live 持有一个宝贵的时间序列维护日志数据集，该数据集来自其在客户托管的数据中心和工业食品储存设施中的气候控制系统。该数据集包含来自传感器的精细iot_data和industrial_data，可直接用于训练高需求的Predictive Maintenance模型，以预测设备故障和优化服务计划。
Predictive Maintenance的全球市场正在经历爆炸式增长，2025年市场价值为142亿美元，预计将以27.9%的复合年增长率扩张。[1] 这一高增长率凸显了人工智能买家需求的巨大。虽然数据访问需要处理客户服务水平协议和母公司 Nordic Climate Group 的集团层面批准，但该数据的稀有性和真实运营性质使其成为针对这一利润丰厚市场的开发人员的引人注目的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据来自客户托管的基础设施（数据中心和工业食品储存）。；精细传感器数据的归属权可能受特定服务水平协议 (SLA) 的约束。；Nordic Climate Group 的子公司；数据策略和第三方访问可能需要集团层面的批准。· 公司：Nordic Climate Group 的子公司。
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超过10,000 多个持续监控的工业制冷装置的大规模专有数据集。该数据结合了实时IoT流和详细的维护日志，创建了一个稀有的、高价值的资产，用于训练预测性维护模型。对于人工智能供应商来说，这是开发用于资产优化和停机时间减少的解决方案的直接途径，该市场预计将以 27.9% 的复合年增长率增长，目标是高价值的关键制冷基础设施。
See dimension details ↓- 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 Feasibility15
中等难度，Nordic Climate Group 的子公司
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 License92
所有权=拥有，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Nordic Climate Group 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation50
2 个数据需求信号（1 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，4 个近期外部信号 — 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. - Dataset Specificity90
主导“maintenance_logs”，行业工业，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 次证据命中
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 Value84
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
人工智能买家需求异常高，这得益于市场以 27.9% 的预测复合年增长率快速扩张，表明对真实世界训练数据的强烈需求。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - ICP Audit67
⚠ 审查 — 该公司是一个糟糕的目标，因为它最近被一家大型国际集团（Nordic Climate Group）收购以执行增长战略，这意味着其数据不再处于休眠状态或未被充分利用的中小企业。问题：最初的线索 'dca-live.nl' 似乎是拼写错误或不正确；该公司是来自荷兰沃登的 T&S Klimaattechniek，而 'DCA Live' 是一个不相关的美国公司；T&S Klimaattechniek 于 2024 年被 Nordic Climate Group (NCG) 收购，后者是一家大型战略参与者，旨在加速增长。[8, 11, 12]；该公司不再是独立的تن中小企业，而是拥有 1,600 多名员工的大型国际集团的运营子公司。[2, 12]；收购的目的是加强市场地位和扩张，这表明该公司及其数据是公司战略的积极组成部分，而不是“休眠”资产。
- Deep Qualification70
✓ 通过 — 该目标是气候控制系统的服务提供商，虽然它可能生成维护和物联网数据，但没有数据销售的证据。数据所有权可能很复杂，归客户所有，并且市场进入取决于新母公司 Nordic Climate Group 的批准。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/Zq7JzSUFlJGoPD_J6xr4Vrq16g59-kdmMX8aWFIvEuI/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9WZXJub25fZGF0YV9jZW50ZXJfY29uc3RydWN0aW9uLmpwZw==.webp" /></div></figure><p>The June 18 show cause orders finally take aim at the load interconnection mess. But the customers who get power faster will be the ones who show up ready to flex, writes Shalin Savalia, a senior electrical engineer.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/KvIH5QDIkYSFPO39YftiYytpuKsTH34TY71sh53nRD8/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS8zTV9FeHBhbmRlZF9CZWFtX09wdGljYWwtUkVTSVpFRC5qcGc=.webp" /></div></figure><p>The joint effort is part of the chemical and cable manufacturer’s commitment to develop and produce electronic components to meet surging artificial intelligence and data center demand.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/T0Dx-Dse_0slS4uKYoAvwButYuiNLFrS36AvjjcRuXs/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9TYW50YV9DbGFyaXRhX3Jvb2Z0b3Bfc29sYXIuanBn.webp" /></div></figure><p>The announcement comes as ratepayer and clean energy advocates push capacity-hungry hyperscalers to subsidize residential solar, batteries and energy efficiency.</p>”
IoT / sensor data
持有者从全天候监控的 10,000 多个装置生成连续的IoT 数据流，提供对实时资产行为进行建模所需的高量传感器读数。
Maintenance logs
这些证据表明存在丰富的结构化维护日志历史记录，详细说明了预防性和纠正性措施，这对于标记传感器数据以训练和验证预测性故障模型至关重要。
Industrial data
该数据集包含专注于电源使用效率 (PUE) 和能源效率的关键工业绩效指标，使人工智能解决方案能够同时优化资产健康和运营成本。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Dca Live Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at USD 14.2 billion in 2025, with a projected CAGR of 27.9% (2026-2033) (source: Grand View Research). [1]. Investment score 48.0/100 (confidence 0.49). Recommended action: Partnership (group-level).
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