Dataset opportunity
Ibanfirst — Financial Transaction Dataset Opportunity
Large financial transaction dataset held by Ibanfirst, usable for Recommendation Models and Fraud Detection.
Score
64.6
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
65%
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 Financial Analytics Market = $12.15B in 2025, CAGR 11.50%.
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
Financial Transaction Dataset
Modality
Tabular
Sector
finance
Volume
Large
Freshness
Periodic
Rarity
Medium
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
E-commerce & personalization AI teams
Ibanfirst provides a rich Financial Transaction Dataset in a Tabular modality, derived from extensive business records and transaction data. This structured dataset contains proprietary corporate financial transaction metadata, making it exceptionally well-suited for developing and training sophisticated Recommendation Models that can predict client needs, suggest FX services, or optimize payment routing.
Despite access complexities due to its status as a regulated financial institution subject to GDPR/AML and PSD2 compliance, the data's value is underscored by significant market demand. The global Financial Analytics Market was valued at USD 12.15 billion in 2025 and is projected to grow at a CAGR of 11.50% through 2035. [6] This high-growth environment makes access to such a rare and detailed dataset a compelling opportunity for buyers seeking a decisive competitive advantage. ⚠ Diligence (valuable data, access to negotiate): Highly regulated financial institution subject to banking secrecy and PSD2 compliance.; Data contains sensitive PII and corporate financial transaction records (GDPR/AML).; Ownership of transaction metadata is proprietary, but underlying funds belong to clients. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Evidence confirms Ibanfirst possesses a large-scale, proprietary financial transaction dataset, processing over €2.5 billion monthly for more than 10,000 international companies. This high-volume, multi-currency data is a prime asset for e-commerce and personalization AI teams seeking to build sophisticated recommendation models and gain a competitive edge. In a financial analytics market projected to exceed $12 billion, this dataset offers a rare opportunity to train models on real-world, high-value B2B payment behavior.
See dimension details ↓- Dataset Specificity66
dominant 'transaction_data', sector finance, 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 Volume70
6 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/open (current)
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value64
fit for Recommendation Models
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 high, driven by the rapid growth of the Global Financial Analytics Market, which is projected to expand at a CAGR of 11.50%. [6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
high difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength89
5 evidence types, 6 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 Audit92
✓ good target — Ibanfirst is a good target as it's a payment institution whose core business is providing cross-border payment services to SMEs, generating valuable transaction data as a by-product without selling it as a core offering. Issues: The company has over 350 employees, placing it at the upper end of the SME definition, and is backed by a major private equity fund.
- Deep Qualification90
⚠ needs review — Ibanfirst is a data holder offering payment services, making its financial transaction dataset a byproduct. Data ownership resides with the client under strict PSD2 and GDPR regulations, making third-party data resale highly restricted and implausible. [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.
API access
The company provides a documented PSD2 API, offering structured access to both account information and payment initiation services, a key integration point for fintech developers and aggregators.
Developer portal
A dedicated developer portal exists to support the implementation of their PSD2 API, signaling a mature, well-documented data infrastructure that accelerates integration for technical partners.
Knowledge base / docs
The presence of a knowledge base dedicated to their API specifications confirms the existence of structured, internal documentation, which is crucial for ensuring data quality and consistency for any potential integration.
Transaction data
Direct evidence confirms a high-volume flow of tabular transaction data, with over €2.5 billion processed monthly, providing the scale necessary to train powerful predictive and recommendation models.
business_records
Business records validate a diverse client base of over 10,000 companies operating globally, indicating the dataset contains rich, multi-currency transaction patterns ideal for international market analysis.
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
Ibanfirst Financial Transaction — a Large financial transaction dataset (Tabular modality) in the finance domain. Primary AI use-case: Recommendation Models. Market signal: Global Financial Analytics Market = $12.15B in 2025, CAGR 11.50% (source: SNS Insider). Investment score 64.6/100 (confidence 0.65). Recommended action: Data Sharing Agreement.
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