Introducing Industry Classification Data

  • What is the success/failure rate of similar businesses?
  • Are the cash flows of this business healthy based on the industry?
  • Does this company engage in any prohibited or risky activities?
  • How will this company use my services?
  • How resilient is this company to economic downturns? How much might it benefit from economic growth?

Industry classification has failed financial institutions for years.

Building accurate, powerful industry data

  • Unmatched accuracy
  • A modern and intuitive way of segmenting companies
  • Details that added insight instead of noise
  • High coverage

This is just the beginning

Getting started

--

--

--

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

CS-GO competitive match data — Part 2

Matplotlib Essentials

Privacy and Security Risks of the Metaverse

Why You Need a Python Virtual Environment and How to Set It Up

Where do people go in NYC?  —  The recipe of an analysis

A case study: Assessing confounding and modification using logistic regression in R and Stata

Resume Parser to extract technical skills

Behaviour Analysis using Graphext

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Enigma

Enigma

More from Medium

Automated batch forecasting of correlated time series CTS using SQL Server

What is Agglomerative clustering and how to use it with Python Scikit-learn

Rapid revision notes: K Nearest Neighbors Algorithm

In Machine Learning, what are datasets?