Dataset opportunity
Faganwhalley — Mobility Event Dataset Opportunity
Moderate mobility event dataset held by Faganwhalley, usable for Forecasting and Anomaly Detection.
Score
77.4
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
58%
Action
Acquire
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 Supply Chain Analytics market was valued at USD 6.12 billion in 2022, projected to grow at a CAGR of 17.8% from 2023 to 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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
Mobility Event Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify
Buyer persona
Quant funds & demand-forecasting AI teams
Faganwhalley holds a comprehensive Mobility Event Dataset structured as Time Series data, incorporating `event_streams`, `iot_data`, `industrial_data`, and `maintenance_logs`. This rich, temporal data provides a detailed operational view, making it exceptionally valuable for AI-driven Forecasting to predict maintenance needs, optimize supply chain flow, and manage inventory.
The global Supply Chain Analytics market was valued at USD 6.12 billion in 2022 and is projected to grow at a CAGR of 17.8% to reach USD 22.46 billion by 2030. [1] This significant growth highlights the intense market demand for such data. While access requires navigating complexities like GDPR due to driver telematics data and client confidentiality agreements, the rarity and integrated nature of this dataset offer a distinct competitive advantage for AI buyers seeking to enhance their forecasting accuracy. ⚠ Diligence (valuable data, access to negotiate): Telematics data involves driver behavior which may have GDPR implications; Warehouse inventory data is likely subject to client confidentiality agreements; Supply chain flow data ownership might be shared with end-customers · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence proves Faganwhalley owns a proprietary, high-frequency stream of mobility event data sourced directly from its integrated logistics network. The dataset combines IoT sensor feeds, warehouse management system outputs, and vehicle maintenance logs, creating a uniquely comprehensive view of real-world supply chain operations. For quant funds and AI forecasting teams, this dataset offers a rare ground-truth signal for modeling supply chain activity and economic indicators, providing the raw material to anticipate disruptions in a market for supply chain analytics projected to grow at over 17% annually.
See dimension details ↓- Dataset Specificity100
dominant 'event_streams', sector mobility, 4 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity94
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume64
5 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 Value94
fit for Forecasting
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI buyer demand is exceptionally high, driven by the urgent need for accurate forecasting in a Supply Chain Analytics market growing at a 17.8% CAGR. [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength77
4 evidence types, 5 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
ownership=mixed, licensing=rights_unclear
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 Orientation56
2 data-appetite signals (2 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high — 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 Audit92
✓ good target — Fagan & Whalley is a prime target, being an established, family-run logistics and warehousing company with a large fleet generating proprietary mobility data as a by-product of its core operational business, and no indication of selling data products. Issues: The company is a multi-million-pound nationwide business that has made recent acquisitions, so while it appears to be an SME, it is on the larger side and growi; While they provide customers with data insights and visibility into their own supply chain via a portal, this is a feature of their core logistics service, not
- Deep Qualification80
✓ pass — Fagan & Whalley is a strong data holder candidate. As a logistics and warehousing provider, it generates significant operational data, including valuable telematics and WMS data, as a by-product of its core services. While data ownership is mixed and subject to GDPR, the recent, major investments in new TMS and WMS platforms confirm the existence of a rich, structured mobility dataset.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
The company generates continuous event streams from its operations, providing the real-time data and advanced insights necessary for AI teams to build predictive forecasting models.
IoT / sensor data
The dataset includes proprietary IoT data, offering the instant tracking and on-demand status visibility essential for modeling asset movement and supply chain efficiency.
Industrial data
Evidence points to a rich source of industrial data from warehouse management systems and vehicle fleets, providing a comprehensive view of operational capacity and activity.
Maintenance logs
The dataset is enriched with maintenance logs, offering a unique signal on vehicle health and availability that can be used to predict asset downtime and potential supply chain disruptions.
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Faganwhalley Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Supply Chain Analytics market was valued at USD 6.12 billion in 2022, projected to grow at a CAGR of 17.8% from 2023 to 2030 (source: Grand View Research). [1]. Investment score 77.4/100 (confidence 0.58). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Beev — Mobility Telemetry Dataset Opportunity
View opportunity →mobilityEverstox — Transaction Dataset Opportunity
View opportunity →mobilityEnvo Logistics — Mobility Event Dataset Opportunity
View opportunity →Data Academy
Learn before you deal
- Data marketplaces, explained4 min read
- Data licensing, term by term4 min read
- Is Your Data Worth Money?3 min read