Alternative data datasets
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Clean property boundary lines are offered in both geospatial and spreadsheet-friendly formats.
Consumer-authorized digital behavioral tracking data collected with explicit consent.
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Analytical view of staffing patterns and labor movement within individual organizations.
Revelio Labs' workforce dynamics data, hiring, attrition and headcount estimates by company, distributed via BattleFin.
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Cleaned and standardized loan-level records from Fannie Mae, Freddie Mac, and Ginnie Mae covering the mortgage-backed securities market.
Cleaned and standardized loan-level records from Fannie Mae, Freddie Mac, and Ginnie Mae covering a 12-month historical window.
Standardized financial statement records aligned with NACE industry classifications, delivered in an analytics-friendly format with rights cleared for machine learning and artificial intelligence development.
Cross-industry financial statement data normalized to NACE codes, pre-processed for analytical use and permitted for training AI and ML models.
Standardized financial statement data aligned with NACE classifications, formatted for analytics and cleared for use in AI and machine learning model development.
NACE-aligned financial reporting records prepared for downstream analytics and authorized for use in artificial intelligence and machine learning model development.
Financial statement information standardized along the NACE taxonomy, packaged for analytical workflows and licensed to support AI and ML training activities.
Industry-coded financial statements harmonized via NACE, supplied in a form ready for analysis and cleared for artificial intelligence and machine learning purposes.
A consolidated set of NACE-mapped financial statements ready for data analysis and permitted to be used in training AI and machine learning models.
NACE-standardized financial statement data, formatted for analytics pipelines and licensed for building AI systems and machine learning algorithms.
Curated financial reporting records classified under NACE, engineered for analytical workloads and licensed for artificial intelligence and machine learning training.
Standardized financial statement data aligned with NACE classifications, formatted for analytics and cleared for use in AI and machine learning model development.
Financial statements aligned to NACE industry categories, structured for analytic consumption and approved for use in AI and ML model training.
NACE-harmonized financial statement datasets delivered in an analytics-ready state with licensing terms covering AI and machine learning model training.
Standardized financial reporting records mapped to NACE industry classifications, prepared for analytics use and cleared for machine learning applications.
Normalized financial indicators for publicly traded companies, reconciled to account for varying reporting standards.
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A complete review of carbon capture, utilization, and storage initiatives and the associated supply network.
Cross-country comparison of carbon dioxide emissions from oil and gas fields by nation, operator, and corporate entity.
Market and supply chain information for the geothermal energy sector.
Cross-country, operator, and company-level comparison of CO2 emissions from oil and gas fields worldwide.
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