Dataset opportunity
Finishlinetiming — Event Stream Dataset Opportunity
Moderate event stream dataset held by Finishlinetiming, usable for Forecasting and Anomaly Detection.
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
Data Sharing Agreement
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)
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.
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
Event Stream Dataset
Modality
Time Series
Sector
other
Volume
Moderate
Freshness
Real-time
Rarity
Medium
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
Quant funds & demand-forecasting AI teams
Finishlinetiming holds a valuable Event Stream Dataset generated from its race timing operations, capturing granular performance data via physical RFID hardware. This Time Series data, including precise timestamps and participant split times, is structured for Forecasting applications, such as predicting race participation trends, athlete performance, and logistical needs for future events.
The data operates within the global Athletics Timing System Market, which was valued at USD 320 million in 2024 and is projected to grow at a 6.8% CAGR to USD 475 million by 2030. Despite access complexities like PII which requires strict GDPR compliance and shared data ownership, the dataset's rarity and direct link to real-world performance events make it a significant asset for developing predictive AI models in the growing sports technology sector. ⚠ Diligence (valuable data, access to negotiate): Contains PII (names, DOB, gender) requiring strict GDPR compliance; Data ownership may be contractually shared with race organizers; Data is tied to physical RFID hardware events · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence confirms Finishlinetiming possesses a proprietary, multi-year dataset capturing the performance and demographics of thousands of athletes across UK endurance events. This rich time-series data is ideal for sophisticated forecasting models, offering a unique ground-truth view into grassroots athletic participation trends. For quant funds and AI-driven forecasting teams, this dataset provides a powerful leading indicator for consumer behaviour within the global athletics market, a sector projected to reach USD 475 million by 2030. It represents a rare opportunity to acquire granular data on event participation and athlete performance, unlocking predictive insights unavailable through public sources.
See dimension details ↓- Dataset Specificity50
dominant 'event_streams', sector other, 1 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity58
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value64
fit for Forecasting
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand70
AI buyer demand is strong, driven by the steady 6.8% CAGR in the athletics timing system market and the increasing need for data-driven forecasting models in sports.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility44
low difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength50
2 evidence types, 2 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
ownership=mixed, licensing=gdpr_sensitive
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 data-appetite signals (0 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
surplus=medium — proprietary data beyond what's already monetised
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
✓ good target — This Edinburgh-based company provides chip timing services for sporting events across the UK, generating valuable race and participant data as a by-product of its core service, and does not appear to sell this data as a standalone product. Issues: The precise legal ownership of the generated data (as opposed to the event organizer) would need to be clarified.; Could not find a direct registration on UK Companies House under this exact trading name, suggesting it might be registered under a different legal entity.
- Deep Qualification80
⚠ needs review — The target provides race timing as a service, making it a data processor, not an owner. The data, which includes PII, is owned by the event organizers, which contractually restricts any resale. [data is owned by the company's customers; licensing restricted]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
The holder generates high-resolution time-series data, capturing the precise split and finish times essential for building granular performance forecasting models.
business_records
Historical business records provide rich demographic attributes for each participant, enabling powerful cohort analysis and demand forecasting for specific consumer segments.
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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