Alternative data datasets
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Pay benchmark figures compiled from online job postings and formal compensation surveys.
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Confirmed location records demonstrating when devices were physically present at specific venues, enabling advertisers and analysts to evaluate in-store traffic and quantify the impact of marketing campaigns on visits.
Location, pricing, and service-area details for shared electric scooters operated by major mobility providers.
Guidepoint-run insights network offering advisory panels, expert calls and research support spanning international markets.
265 seeded ERENO runs of state-aware grayhole attacks on IEC 61850 GOOSE
Electric Vehicle Population Data in Washington State: BEVs and PHEVs registered
Data for the fifth ranking of AI 50 by Forbes (2023)
A mobility panel centred on the UK, tracking how consumers move between points of interest with historical coverage of retail parks and high streets.
Network of industry contacts enabling one-on-one interviews with practitioners to support PE, consulting and corporate development work.
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A Labeled Image Dataset for Early Detection of Tea Leaf Diseases
Data Analytics and Data Visualisation for beginners
Factors affecting crop yield
A Comprehensive Dataset of Egyptian Residential Properties
Custom sourcing research for alternative datasets: structured briefs that map the available feeds to a specific investment thesis, rather than raw data sales.
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Operational logistics records and reporting designed to support supply-chain modeling and evaluation of carrier efficiency.
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Integrated patient information framework linking insurance claims with clinical data under HIPAA-compliant controls.
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Structured Dataset of a Data-Driven View into Commercial Aviation Fleet Characte
Granular Day Ahead Electricity Prices for France and Interconnections
Data containing all electronically submitted investments by Senators
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Quarterly 10-Q filings parsed from EDGAR into JSON, millions of records in English (MIT). The quarterly companion to the 10-K corpus for tracking sequential changes in operating performance and risk factors.
Predict daily coffee shop revenue using customer count, marketing spend and more
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