Historical data, specifically in finance, is information collected about past occurrences, interactions, and outcomes surrounding a particular company or employee. Coresignal is proud to offer up to 30 months of rich, publicly scraped historical data from 17 sources across 190 countries.
With historical firmographic data, organizations are able to build and train predictive investment models with ML algorithms.
Companies are also able to leverage historical data for backtesting and analysis processes such as performance testing, fault testing, and integration testing.
With over 420M+ professional profiles and 35M+ company profiles, companies are able to perform in-depth trend analysis for market and industry trend forecasting.
Historical data is information collected about past occurrences, interactions, and outcomes surrounding a particular organization or entity. Historical data is leveraged by businesses, analysts, and investors to help build and train ML algorithms, to analyze time-series data for backtesting processes, to establish a baseline for conducting competitive analysis, as well as for overall market and industry trend forecasting.
Investors are able to leverage historical data to measure and predict financial success such as revenue and growth by tracking companies’ employee counts, such as employee distribution by function and seniority as a percentage of the total employee base.
Historical firmographic and public resume data is used in statistical modeling to help organizations forecast company, market, or industry trends. Firmographic data can be used to forecast larger industry and market trends, while historical public resume data can be used for company-level quantitative forecasting.
Historical data analysis is the process of observing and summarizing market and company behavior over time.
Historical data is important for businesses and investors interested in conducting competitive analysis, tracking growth rates, and market trends.
Historical financial data is financial information about a particular company, organization, or investor that is analyzed in conjunction with past financial events, trends, results, etc.
Historical social media data is past web information about particular companies and professionals collected from public social media sources.
Historical data is categorized into two categories: primary and secondary sources. Primary sources tend to be more qualitative and include first-hand accounts and documentation, while secondary sources are more quantitative and include reports, filings, statements, records, etc.