Dataset opportunity
Connectfibre — 维护日志数据集机会
Connectfibre 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
71.8
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
63%
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)
全球预测性维护市场在 2024 年的估值为 123 亿美元，复合年增长率为 29.7%。
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.
- 🧑💻Hiring a data role
创新软件解决方案高级应用工程师
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Profile
Dataset profile
Type
维护日志数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
中等
Accessibility
部分
Legal
混合所有权 — GDPR 敏感（个人身份信息审查）
Buyer persona
工业人工智能与维护优化供应商
Connectfibre 持有的时间序列维护日志数据集源自其网络运营，涵盖网络遥测、物联网设备数据和地理信息。这为训练预测性维护模型提供了详细的真实世界基础，以便在网络故障和设备故障影响住宅用户之前进行预测。
全球预测性维护市场在 2024 年的估值为123 亿美元，预计将以29.7% 的复合年增长率增长。[8] 尽管由于 GDPR 和英国数据保护法存在复杂的访问要求，但该匿名数据的稀缺性和丰富性在该高增长市场中提供了显著的竞争优势，使得获取数据的谈判成为开发先进人工智能解决方案的值得进行的投资。⚠ 尽职调查（有价值的数据，可协商的访问权限）：高度 GDPR 敏感，因为它涉及住宅用户连接和流量模式；网络遥测可能部分被第三方硬件（TP-Link/Linksys）管理层隔离；数据访问需要严格匿名化，以遵守英国调查权法和数据保护法。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Connectfibre 拥有其英国光纤网络中有价值的运营时间序列数据，包括与硬件故障排除和客户支持相关的日志。该数据集是开发预测性维护模型的首要资产，用于预测设备故障和优化现场服务。在一个价值 123 亿美元且年增长率接近 30% 的全球市场中，这一独特的电信维护日志集合为寻求提高算法准确性和性能的人工智能供应商提供了独特的优势。
See dimension details ↓- Dataset Specificity74
占主导地位的“维护日志”，行业其他，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 Rarity58
专有领域数据（开放降低稀缺性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume64
5 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 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 Demand90
人工智能买家需求极高，这得益于预测性维护市场的快速扩张，该市场正以 29.7% 的复合年增长率增长。[8]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility48
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility66
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 Strength86
5 种证据类型，5 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，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 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 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 Audit92
✓ 良好目标 — Connectfibre 是一家总部位于英国的全光纤宽带提供商，负责建设和运营自己的网络，使其成为一个理想的目标，它作为其核心业务的副产品生成有价值的维护和运营数据。
- Deep Qualification90
⚠ 需要审查 — Connectfibre 是一家总部位于英国的光纤宽带提供商，拥有并建设自己的网络。该公司作为其运营的副产品，拥有一个看似合理的维护日志数据集。然而，其隐私政策明确限制数据使用于收集的原始目的，使得用于人工智能培训的数据销售在合同上变得困难，并且在 GDPR 下高度敏感。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
这表明存在详细说明服务性能指标的面向客户的文档，为服务级别协议和网络质量预期提供了基本背景。
Knowledge base / docs
该公司维护一个结构化的客户支持文章和常见问题解答存储库，这对于寻求理解自然语言描述的常见故障模式的自然语言处理模型很有价值。
IoT / sensor data
这证明了持有者收集客户 premises 设备（如 Wi-Fi 7 路由器）的数据，提供了训练基于物联网的预测模型所必需的原始时间序列信号。
Geospatial data
持有者拥有地理空间数据，绘制了其在英国特定城镇的网络覆盖范围，这对于分析区域故障模式和优化技术人员调度至关重要。
Maintenance logs
这证实了支持和故障排除日志的存在，这些日志是训练和验证电信行业预测性维护算法所需的地面实况数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Connectfibre Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market was valued at $12.3 Billion in 2024, CAGR 29.7% (source: Custom Market Insights). Investment score 71.8/100 (confidence 0.63). Recommended action: Data Sharing Agreement.
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