Seeking commercial leased vehicle counts for service companies, including company names and fleet sizes, with 10 years of historical data for insights into economic trends and market dynamics.
Global credit card spending data (excluding the EU), offering insights into consumer trends, regional variations, and economic activity to support financial, retail, and travel industry decisions.
Hotel data covering demand trends, pricing insights, customer sentiment, and market performance to support smarter decisions across finance, travel, and hospitality sectors.
Comprehensive airline data covering demand patterns, operational performance, market trends, and macroeconomic indicators to support smarter decisions across finance, travel, and economic sectors.
Retail transaction data from Asian markets with CPI-aligned insights, revealing historical spending trends, inflation, and consumer behavior across key economies like China, Japan, Korea, and Vietnam.
Detailed data from paper receipts, including terminal IDs and metadata, offering insights into payment infrastructure, consumer behavior, and hardware trends across retail environments.
Detailed full-service restaurant menu price data from the US, offering insights into inflation, consumer spending, and economic behavior.
Historical auto and home insurance premium trends from the US, UK, and Western Europe to assess risk, market shifts, and economic indicators.
Looking for foot-traffic data from manufacturing facilities in Asian countries such as Japan, China, Korea, and Vietnam. The dataset should offer broad insights into facility activity and workforce engagement.
Looking for large-coverage Brazilian data across multiple sectors, including consumer transactions, receipts, foot traffic, job boards, supply chain, ad spend, and real estate.
Seeking data relevant to Nvidia, such as sales, production volumes, and market share for GPUs and AI hardware. The dataset should provide insights into Nvidia’s performance across different product lines and its competitive positioning.
Seeking semiconductor manufacturing data including production volumes, supply chain efficiency, and pricing trends. The dataset should provide insights into elements such as manufacturing performance and semiconductor component pricing.