Elm Analytics LLC is a leading provider of automotive industry intelligence and data.

Whether you are looking to source a part, process or material, or want to find new customers or the best suppliers, you will find a rich, well-maintained database that can be easily searched with intuitive tools.
We continuously raise the bar on the quality of supply chain data that includes contact information, plant locations, parts manufactured, manufacturing processes, and materials utilized.
If you have any questions or comments, or would like to know more about Elm Analytics, or our solutions, please feel free to contact us.

Management Team

Tor Hough

Tor Hough, CEO

BA, Political Science, Grinnell College

PMP™, Project Management Institute

ITIL®, Axelos Global Best Practices

Bob Justin

Bob Justin, CFO

BA, Finance & Economics, Michigan State University

JD, University of Michigan

CPA, American Institute of Certified Public Accountants

PMP™, Project Management Institute

Paul Morin

Paul Morin, CTO

BA, Business Administration, Lawrence Technological University

MCP, Microsoft Corporation

Founder, Supply Chain Interactive (SCI), Acquired by Compuware Corporation in 2005

Nick Gaydos

Nick Gaydos, CDO

BS, Engineering & Industrial Design Michigan State University

MCP, Microsoft Corporation

ITIL®, Axelos Global Best Practices

Our Data Philosophy

  1. Accurate data shared bi-laterally between trading partners is a requirement of doing profitable, sustainable business.
  2. Analysis performed or decisions made in the absence of accurate data is toxic to companies, industries, governments and media.
  3. Gathering and maintaining quality data is not a part time job it requires considerable technical skill, ingenuity and persistence.
  4. The quality of data will almost always be subverted if done by those responsible for analyzing the data.
  5. Stakeholders that invest their time and resources in maintaining the Industry’s Store of Data must receive a return on their investment.


Automotive Supplier Data, Automotive OEM Data, Data Acquisition, Data Aggregation, Data Quality, Custom Mapping, Supply Chain Mapping


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