Dataset opportunity
Matera — Transaction Dataset Opportunity
Large transaction dataset held by Matera, usable for Recommendation Models and Fraud Detection.
Score
67.5
Confidence
63%
Action
Data Sharing Agreement
Market
Global recommendation engine market = 5.39 billion USD in 2024, projected growth to 119.43 billion USD by 2034, with a CAGR of 36.33% (source: Precedence Research)
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
Transaction Dataset
Modality
Tabular
Sector
retail
Volume
Large
Freshness
Real-time
Rarity
Medium
Accessibility
Restricted
Legal
Aggregated / third-party — GDPR-sensitive (PII review)
Buyer persona
E-commerce & personalization AI teams
Matera offers a detailed Transaction Dataset, including data_catalog, data_dictionary, data_volume, event_streams, and transaction_data, derived from client activity on its property management platform. This data is crucial for developing high-performing recommendation models, capable of analyzing purchasing behaviors and user preferences. Although GDPR-sensitive, its value for external buyers lies in aggregated and anonymized insights, representing a significant business opportunity.
The global recommendation engine market, which highly values this type of data, was estimated at 5.39 billion USD in 2024 and is projected to reach over 119.43 billion USD by 2034, with a CAGR of 36.33%. The broader data monetization market is expected to reach 12.66 billion USD by 2031 with a CAGR of 17.41%, and the retail analytics market 46.3 billion USD by 2034.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
- Dataset Specificity78
dominant 'transaction_data', sector retail, 2 specific types
- Buyer Demand92
The global recommendation engine market, of which the retail sector is the largest contributor, is expected to grow at a CAGR of 36.33% from 2025 to 2034, indicating strong demand for transaction data.
- Dataset Rarity46
proprietary domain data (open lowers rarity)
- Dataset Volume80
5 evidence hits, explicit data-volume mention
- Dataset Freshness82
real-time/streaming
- Training Value74
fit for Recommendation Models
- Legal Accessibility14
open/API access
- Acquisition Feasibility48
medium difficulty, independent
- Evidence Strength86
5 evidence types, 5 hits
- Right to License10
ownership=aggregated, licensing=gdpr_sensitive
- Corporate Independence90
independent
- Data Orientation89
4 data-appetite signals (2 types)
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Market read
Matera demonstrably possesses a substantial and rapidly expanding repository of transactional and behavioral data derived from its growing base of client buildings. This rich, real-time activity stream, including detailed payments and user interactions, is precisely the kind of granular intelligence sought by E-commerce and personalization AI teams. With the global recommendation engine market projected to reach $119.43 billion by 2034, this dataset offers a timely opportunity to fuel advanced recommendation models and drive significant personalization breakthroughs.
Transaction data
Tabular · 1 hitThis evidence confirms Matera's ownership of tabular transaction data, detailing real-time expenses and online payments, which is invaluable for understanding user spending patterns and informing purchase recommendations.
Data catalog / marketplace
Multimodal · 1 hitThis indicates a multimodal data catalog encompassing user activity in managing property tasks and accessing a database of trusted tradespersons, offering rich context for service personalization and expert matching.
Event streams
Time Series · 1 hitThis points to time-series event data capturing real-time user interactions, such as reporting operational issues and direct engagement, crucial for developing dynamic behavioral models and proactive recommendations.
Data-volume signal
Multimodal · 1 hitThis highlights significant data volume and rapid growth, with Matera achieving 300% year-on-year growth and managing thousands of client buildings, ensuring a substantial and expanding base for large-scale model training.
Data dictionary
Tabular · 1 hitThis confirms the existence of a tabular data dictionary indicating Matera's internal use of aggregated and anonymized data for service improvement and research, suggesting a well-structured and privacy-conscious dataset suitable for analytical applications.
Deal room
Deal Room — Matera — Transaction Dataset Opportunity
Transaction Dataset (Tabular, retail). Best AI use-case: Recommendation Models. Target buyers: E-commerce & personalization AI teams. Market: Marché mondial des moteurs de recommandation = 5,39 Md$ en 2024, croissance prévue à 119,43 Md$ d'ici 2034, avec un TCAC de 36,33% (source: Precedence Research). Rarity: Medium; accessibility: Restricted. Key risk: Aggregated / third-party — GDPR-sensitive (PII review). Recommended deal structure: Data Sharing Agreement. Investment score 67.5/100.
Buyer persona
E-commerce & personalization AI teams
Market
Global recommendation engine market = 5.39 billion USD in 2024, projected growth to 119.43 billion USD by 2034, with a CAGR of 36.33% (source: Precedence Research)
Risk
Aggregated / third-party — GDPR-sensitive (PII review)
Action
Data Sharing Agreement
Coverage
Scanned sources
Deliverable
Premium dataset report
Matera Transaction — a Large transaction dataset (Tabular modality) in the retail domain. Primary AI use-case: Recommendation Models. Market signal: Marché mondial des moteurs de recommandation = 5,39 Md$ en 2024, croissance prévue à 119,43 Md$ d'ici 2034, avec un TCAC de 36,33% (source: Precedence Research). Investment score 67.5/100 (confidence 0.63). Recommended action: Data Sharing Agreement.