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historical data

Get the big picture with historical data

  • Quantify and evaluate company performance over time
  • Enhance backtesting and business analysis processes
  • Build and train predictive investment models
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Up to 80 months of data

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Raw data, detailed records

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Data from 8 web sources

Historical data use cases

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Building predictive models

With historical firmographic data, organizations are able to build and train predictive investment models with ML algorithms.

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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.

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Evaluating company performance

With over 713M+ professional profiles and 101M+ company records from a variety of sources, our data is ideal for quantifying and evaluating company performance.

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Stay ahead of the game with fresh web data

Coresignal's data helps companies achieve their goals

Evaluate company performance with Historical headcount dataset

Quantifying and predicting company growth can be a challenging task. With Coresignal’s Historical headcount dataset investors can easily see the historical growth trends of more than 68 million companies worldwide. Enriched with thorough firmographic information, this data can be used to analyze company, industry, and location trends over time to enhance analysis and back decisions with hard data.

Coresignal's Historical headcount dataset includes continuously updated snapshots of headcount and social media follower trends, dating back to November 2018. For more information, download our free sample.

historical headcount data visual

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.

historical data for investors

Trend forecasting with historical data

Historical firmographic and employee 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 employee data can be used for company-level quantitative forecasting.

trend forecasting with historical data

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 50 months of employee data and firmographic data.

Employee data

General information

Job experience

Education

Skills and abilities

Interests and activities

Firmographic data

General information

Financial information

Location

Job listings

Reviews

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Stay ahead of the game with historical web data

Coresignal's data helps companies achieve their goals

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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