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historical data

Historical data

  • Harness the power of trend forecasting
  • Build and train predictive investment models
  • Enhance backtesting and business analysis processes
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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.


Trend forecasting

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

General information

Job experience


Skills and abilities

Interests and activities

Company data

General information

Financial information


Job listings


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.

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