- Harness the power of trend forecasting
- Build and train predictive investment models
- Enhance backtesting and business analysis processes
Up to 30 months of data
Raw data, detailed records
Data from 190 countries
Building predictive investment models
With historical firmographic data, organizations are able to build and train predictive investment models with ML algorithms.
Backtesting and analysis
Companies are also able to leverage historical data for backtesting and analysis processes such as performance testing, fault testing, and integration testing.
With over 465M+ professional profiles and 50M+ company profiles, companies are able to perform in-depth trend analysis for market and industry trend forecasting.
Stay ahead of the game with historical web data
What is historical data?
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.
Historical data for investors
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.
Trend forecasting with historical data
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.
Capture a 360° view of companies and professionals with historical data
With Coresignal’s comprehensive historical alternative datasets, investors are able to capture a 360° view of companies and professionals. Our most popular historical data types include up to 30 months of public resume data and firmographic data.
Public resume data
Skills and abilities
Interests and activities
Frequently asked questions
What is historical data analysis?
Historical data analysis is the process of observing and summarizing market and company behavior over time.
What is the importance of historical data?
Historical data is important for businesses and investors interested in conducting competitive analysis, tracking growth rates, and market trends.
What is historical financial data?
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.
What is historical social media data?
Historical social media data is past web information about particular companies and professionals collected from public social media sources.
How is historical data categorized?
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.