Powerlytics: Business Financial Statements
Database based on financial statements of 30 million U.S. businesses. Powered by Demyst.
Powerlytics leverages tax data on 30 million companies and 29 million establishments in the US to build anonymized and aggregated ratios for a range of tax-associated variables. The key methods to filter this dataset include:
Size – Sales and Employment
Geography – Entire U.S., Census Region, Census Division, State, MSA, County, Zip Code
Organization Type – Corporation, Partnerships, Sole Proprietorships
Industry Detail – NAICS 2-6-digit classification system
Given the broad range of tax variables offered by the dataset, Powerlytics Business is a natural complement to a wide-variety of use-cases focusing on assessing commercial entities. The following are key examples:
Business Credit: For a given set of businesses, an end-user can train a credit model based on historical tax data using the key tax variables.
Sales Estimation: Powerlytics attributes may be used in raw form or leveraged in models to estimate the annual sales of a given business entity. Example attributes for this include: gross profit, total sales, and net income, among others.
Growth Estimation: Given the availability of tax data from the last 5 years, end-users may build predictive models and look at growth trends across business size category, industry, and organization to name a few.
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