Dataset opportunity
Finishlinetiming — 事件流数据集机会
Finishlinetiming 持有的中等事件流数据集，可用于预测和异常检测。
Score
54.9
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
42%
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)
全球田径计时系统市场在 2024 年估值为 3.2 亿美元，预计复合年增长率为 6.8%，到 2030 年将达到 4.75 亿美元。
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
事件流数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
量化基金和需求预测 AI 团队
Finishlinetiming 持有一个宝贵的事件流数据集，该数据集源自其比赛计时业务，通过物理 RFID 硬件捕获精细的性能数据。这些时间序列数据，包括精确的时间戳和参与者分段时间，是为预测应用而设计的，例如预测未来比赛的参与趋势、运动员表现和后勤需求。
该数据在全球田径计时系统市场内运作，该市场在 2024 年的估值为 3.2 亿美元，预计到 2030 年将以 6.8% 的复合年增长率增长至 4.75 亿美元。尽管存在 PII 等访问复杂性，需要严格遵守 GDPR 和共享数据所有权，但该数据集的稀有性及其与现实世界表现事件的直接联系使其成为在不断增长的体育科技领域开发预测性 AI 模型的重要资产。⚠ 尽职调查（有价值的数据，可协商访问）：包含 PII（姓名、出生日期、性别），需要严格遵守 GDPR；数据所有权可能与比赛组织者合同共享；数据与物理 RFID 硬件事件相关 · 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 Finishlinetiming 拥有一个专有的、多年的数据集，捕获了英国耐力赛事中数千名运动员的表现和人口统计信息。这些丰富的时间序列数据非常适合复杂的预测模型，提供了对基层田径参与趋势的独特真实视图。对于量化基金和由 AI 驱动的预测团队而言，该数据集为全球田径市场的消费者行为提供了强大的领先指标，该市场预计到 2030 年将达到 4.75 亿美元。它代表了一个难得的机会，可以获取关于赛事参与和运动员表现的精细数据，从而解锁公共来源无法提供的预测性见解。
See dimension details ↓- Dataset Specificity50
主导的“事件流”，行业其他，1 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
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2 条证据
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 Value64
适合预测
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand70
AI 买家需求强劲，这得益于田径计时系统市场 6.8% 的稳定复合年增长率以及体育领域对数据驱动预测模型日益增长的需求。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 Strength50
2 种证据类型，2 条证据
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 Orientation22
0 数据需求信号（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 — 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 — 这家总部位于爱丁堡的公司为英国各地的体育赛事提供芯片计时服务，作为其核心服务的副产品生成有价值的比赛和参与者数据，并且似乎不将此数据作为独立产品出售。问题：生成的数据的确切法律所有权（与赛事组织者相对）需要澄清；；未能在此确切交易名称下找到英国公司注册处（UK Companies House）的直接注册，这表明它可能已在不同的法律实体下注册。
- Deep Qualification80
⚠ 需要审查 — 该目标提供比赛计时服务，因此是数据处理者，而非所有者。包含 PII 的数据归赛事组织者所有，赛事组织者合同限制任何转售。[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.
Event streams
持有者生成高分辨率时间序列数据，捕获精确的分段和完成时间，这对于构建精细的表现预测模型至关重要。
business_records
历史业务记录为每位参与者提供了丰富的人口统计属性，从而能够进行强大的队列分析和特定消费者群体的需求预测。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Finishlinetiming Event Stream — a Moderate event stream dataset (Time Series modality) in the other domain. Primary AI use-case: Forecasting. Market signal: Global Athletics Timing System Market valued at USD 320 million in 2024, with a projected CAGR of 6.8% to reach USD 475 million by 2030 (source: Strategic Market Research).. Investment score 54.9/100 (confidence 0.42). Recommended action: Data Sharing Agreement.
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