Dataset opportunity
Sps Security — Public Procurement Dataset Opportunity
Large public procurement dataset held by Sps Security, usable for Tender Intelligence and Document Intelligence.
Score
79.9
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
74%
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 procurement analytics market = $4.27 Billion in 2024, CAGR 23.50%.
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
Public Procurement Dataset
Modality
Text
Sector
other
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
GovTech & procurement-intelligence vendors
Sps Security holds a Public Procurement Dataset in Text modality, comprising extensive business_records, event_streams, inspection_records, and procurement data. This rich combination offers deep, granular insights into historical and ongoing operational needs, security requirements, and contract specifications, making it exceptionally potent for a Tender Intelligence AI use case by enabling predictive analysis of future tender requirements and competitor strategies.
The global procurement analytics market was valued at $4.27 Billion in 2024 and is projected to grow at a CAGR of 23.50%, demonstrating intense buyer demand for this type of data. [2] While access requires navigating strict GDPR compliance, client confidentiality, and data siloed in regional control rooms, the dataset's unique fusion of procurement history with operational logs like `iot_data` and security incident logs presents a rare, high-value asset for creating a decisive competitive advantage in the bidding process. [2] ⚠ Diligence (valuable data, access to negotiate): Security incident logs contain sensitive PII and site-specific vulnerabilities; Data access requires strict GDPR compliance and client confidentiality vetting; Operational data is siloed within regional control rooms (Hull, Grimsby, Lincoln) · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves the holder possesses a rich, proprietary dataset of tender submissions, compliance documentation, and operational performance records from the physical security sector. This data directly serves the high-growth GovTech and procurement-intelligence market, enabling AI buyers to build sophisticated tender intelligence models for analyzing bids, benchmarking suppliers, and predicting contract outcomes. In a global procurement analytics market projected to grow at over 23% annually, this dataset offers a rare opportunity to train AI on the ground-truth of supplier onboarding and performance.
See dimension details ↓- Dataset Specificity86
dominant 'procurement', sector other, 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 Volume82
8 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 Tender Intelligence
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
AI buyer demand is extremely high, driven by the procurement analytics market's projected CAGR of 23.50% as companies aggressively seek data-driven advantages for competitive bidding. [2]
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 Feasibility30
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength100
6 evidence types, 8 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
ownership=company_owned, 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 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 Audit100
✓ good target — This is a strong target; it's a regional UK security services SME whose core business is not selling data, but which generates valuable, proprietary operational data as a by-product of its guarding, patrol, and monitoring activities. Issues: The initial description 'Public Procurement Dataset' appears to be incorrect for this company; their business is physical security services, not data sales. [13; The company has built a free AI-powered 'Decision Support' tool for lead generation, which uses some external data (like crime stats) but does not sell its prop; The name 'SPS Security' is very generic, leading to confusion with multiple other unaffiliated security companies in the US and internationally. [2, 4, 5]
- Deep Qualification90
⚠ needs review — SPS Security is a regional security services provider, not a data seller. Its operational data is a by-product, likely owned by the client, and its privacy policy prohibits selling personal data. The dataset does not match the opportunity's label or the specified niche. [data is owned by the company's customers; licensing restricted; entity does not hold the niche's characteristic data: The target provides regional, civilian security services in the UK, generating local patrol and incident data. This does not align with the niche's characteristic data of high-level 'Defense and Security Operations and Intelligence' like military updates or geopolitical analysis.; dataset_type implausible vs real activity: The target's core business is providing physical security services (guarding, patrols); its primary data by-product is operational (GPS logs, incident reports), not a 'Public Procurement Dataset'.]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Knowledge base / docs
This text data consists of official accreditations and compliance documentation, essential for AI models that automate supplier vetting and risk assessment.
Procurement / tenders
These are the core tender documents and proposal texts that directly feed AI models for tender intelligence, bid analysis, and response generation.
IoT / sensor data
This time series data from GPS reporting provides verifiable proof of service delivery, enabling AI tools to monitor and audit contract performance.
Event streams
The dataset contains timestamped incident reporting, which allows AI platforms to model operational risk and build advanced performance analytics for supplier evaluation.
business_records
These structured business records contain key performance indicators like average response times, providing invaluable data for benchmarking suppliers.
Inspection reports
These documented inspection records offer a granular view of service delivery, perfect for training AI models on compliance verification and automated auditing.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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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
Sps Security Public Procurement — a Large public procurement dataset (Text modality) in the other domain. Primary AI use-case: Tender Intelligence. Market signal: Global procurement analytics market = $4.27 Billion in 2024, CAGR 23.50% (source: Data Bridge Market Research). [2]. Investment score 79.9/100 (confidence 0.74). Recommended action: Data Sharing Agreement.
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