Dataset opportunity
Havanajourneys — 交易数据集机会
Havanajourneys 持有的中等交易数据集，可用于推荐模型和欺诈检测。
Score
57.5
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
49%
Action
数据共享协议
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)
全球旅游科技市场 = 2023 年为 102.1 亿美元，复合年增长率为 8.75%。
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.
- ✨Signal
数字预订和行程管理系统
source ↗
Profile
Dataset profile
Type
交易数据集
Modality
表格
Sector
出行
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
电子商务和个性化 AI 团队
Havanajourneys 持有表格格式的交易数据集，详细介绍了在古巴的客户旅行套餐。这些数据包括细粒度的 `transaction_data`、目的地的 `geo_data` 以及预订的 `business_records`，非常适合训练推荐模型以个性化旅游产品。
全球旅游科技市场在 2023 年的估值为102.1 亿美元，预计到 2032 年将以8.75% 的复合年增长率增长。[3] 虽然古巴的业务存在合规障碍，并且数据集包含需要严格匿名化的 PII，但其稀有性和针对古巴旅游细分市场的特异性为寻求优化此难以访问市场模型的买家提供了独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：古巴的业务可能涉及特定的国际数据许可的法律和财务合规障碍；数据集包含重要的 PII（旅行者姓名、联系信息），需要严格匿名化；数据量仅限于公司特定的客户群和旅游频率 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据表明 Havanajourneys 拥有专有的交易数据集，详细介绍了古巴境内细分市场的旅行者行为和运营后勤。这些稀有的第一方数据对于寻求构建复杂的旅游业推荐模型的电子商务和个性化 AI 团队来说非常有价值。在全球旅游科技市场年增长率超过 8% 的情况下，这些关于消费者偏好和季节性需求的独特数据为超目标定位对这一独特目的地感兴趣的旅行者提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity78
主导的 'transaction_data'，出行行业，2 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 条证据
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适合推荐模型
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand80
AI 买家需求强劲，这得益于旅游科技市场预计的增长（复合年增长率为 8.75%）以及对独特数据集以支持个性化和推荐引擎的需求。[3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 条证据
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=公司所有，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据需求信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus42
盈余=低 — 专有数据超出已变现的范围
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
✓ 良好目标 — 这是一个良好的目标，因为它是一家位于细分市场的运营旅行社，作为其核心业务的副产品生成专有交易和行程数据，并且似乎不销售这些数据。问题：该公司的联系信息（电话/WhatsApp）是德国的（+49），这表明它可能是一家营销古巴旅游的外国公司，而不是本地公司；没有具体的公司规模信息（如员工人数），因此“中小企业”的分类是基于网站展示的假设。
- Deep Qualification90
✓ 通过 — 该目标是一家旅行运营商，其交易数据是其核心业务的合理副产品。数据集与标签一致，但包含大量 PII，并且由于其古巴业务和美国客户的参与而受到复杂的合规障碍的影响。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该数据集包含详细的交易记录，其中说明了旅行者的人口统计信息、团队规模和季节性购买模式，这对于训练客户细分模型至关重要。
Geospatial data
它包括关于热门旅游路线和兴趣点的独特地理空间数据，从而能够开发位置感知的推荐和行程优化。
business_records
该集合由业务记录支持，这些记录详细说明了当地服务的可用性和定价，为供应方动态和合作伙伴机会提供了关键背景。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Havanajourneys Transaction — a Moderate transaction dataset (Tabular modality) in the mobility domain. Primary AI use-case: Recommendation Models. Market signal: Global Travel Technology Market = $10.21B in 2023, CAGR 8.75% (source: Polaris Market Research). Investment score 57.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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