Dataset opportunity
Entractfilms — 事件流数据集机会
Entractfilms 持有的中等事件流数据集，可用于预测和异常检测。
Score
61
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
许可
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)
全球流媒体分析市场 = 2023 年为 234 亿美元，复合年增长率 28.3%。
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.
Profile
Dataset profile
Type
事件流数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
低（商品化）
Accessibility
部分
Legal
公司所有 — 许可权待澄清
Buyer persona
量化基金和需求预测 AI 团队
Entractfilms 持有一个专有的事件流数据集，具有时间序列模式，源自其独特的业务记录和事件流。这些数据提供了对影院和 VOD 渠道电影表现的细粒度、实时洞察，使其非常适合 AI 买家的预测用例，以预测票房成功和流媒体需求。
全球流媒体分析市场在 2023 年的价值为234 亿美元，预计复合年增长率将达到 28.3%，这凸显了此类数据的巨大价值。虽然数据共享权和保密条款增加了访问的复杂性，但该数据集的稀有性以及对魁北克和法裔加拿大市场的特定关注，使其成为任何希望在细分但具有文化意义的地区获得竞争优势的买家的宝贵战略资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据共享权可能受与电影制片人和权利持有人签订的协议限制；绩效数据（VOD/影院）通常受与发行商和平台的保密条款约束；数据集高度特定于魁北克和法裔加拿大市场 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Entractfilms 拥有宝贵的电影表现历史数据流，跟踪影院票房结果以及随后的VOD租赁和购买表现。此类时间序列数据受到量化基金和 AI 团队的追捧，用于构建复杂的需求预测模型。在全球流媒体分析市场预计每年增长超过 28% 的情况下，该数据集为预测电影的商业生命周期和收入潜力提供了独特的区域信号。
See dimension details ↓- Dataset Specificity50
主导的“事件流”，行业其他，1 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 Rarity34
专有领域数据（开放会降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流媒体
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value64
适合预测
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI 买家需求受流媒体分析市场的快速增长（28.3% 的复合年增长率）驱动，因为公司越来越多地使用实时数据进行预测性预测。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility56
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility66
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 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=公司所有，许可=权利不明确
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 Orientation22
0 数据胃口信号（0 类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等 — 专有数据超出已货币化的部分
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 — 这家独立电影发行商和制片商是一个很好的目标，因为它很可能拥有宝贵的、未被充分利用的票房和发行表现数据，作为其核心业务的副产品。问题：公司规模未明确说明，但根据其描述和成立日期，似乎是一家小型独立工作室；主要业务是电影发行和制作，而不是销售数据或情报；提示中提到的“事件流数据集”将对应于电影发行表现的专有数据（例如，票房结果、平台表现）
- Deep Qualification90
⚠ 需要审查 — Entractfilms 是一家电影制片商和发行商，这使得假设的“事件流数据集”成为其核心业务的合理副产品；然而，数据转售权很可能受到与权利持有人和平台签订的标准行业协议的限制。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
business_records
该公司跟踪数字平台上的商业表现，直接证明了对财务建模有价值的VOD收入来源。
Event streams
这是一个关于票房表现和发行时间表的时序数据集，为预测魁北克市场的消费者需求提供了细粒度的历史信号。
Data catalog / marketplace
持有者维护着丰富的电影元数据目录，包括演员阵容和制作细节，这为训练机器学习模型以预测表现提供了必要的特征。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Entractfilms Event Stream — a Moderate event stream dataset (Time Series modality) in the other domain. Primary AI use-case: Forecasting. Market signal: Global Streaming Analytics market = $23.4B in 2023, CAGR 28.3% (source: Grand View Research). Investment score 61.0/100 (confidence 0.49). Recommended action: License.
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