Elm Analytics

Elm Analytics

Motor Vehicle Manufacturing

Rochester, MI 367 followers

About us

ELM ANALYTICS HELPS MANUFACTURERS IDENTIFY RISK AND OPPORTUNITY, LOCATE NEW CUSTOMERS AND SUPPLIERS, AND COLLABORATE AND COLLECT CRUCIAL SUPPLY CHAIN DATA. The strongest supply chains are built on trust. Elm Analytics' core principles inform and define our solutions: RESPECT CONFIDENTIALITY Efforts to manage supply chains must respect every company’s need to preserve its competitive advantage. EVERYONE BENEFITS Every manufacturer, whether as a customer or supplier, big or small, should benefit from participating. LEVERAGE THE NETWORK EFFECT Done right, there is a network effect in mapping supply chains that generates exponential additional value with each new participant. KEEP IT SIMPLE Supply chains are complex, but the tools and models used to manage them need to be simple. IT'S NOT ALWAYS ABOUT YOU The greatest risks to most manufacturers originate in their underlying supply chains, not their own operations. PICK WINNERS NOT LOSERS Supply chain management should be more about picking winners than losers – choose opportunities over risks. Make informed decisions. Expand your business. Protect your company. 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 rich, well-maintained information 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.

Industry
Motor Vehicle Manufacturing
Company size
2-10 employees
Headquarters
Rochester, MI
Type
Privately Held
Founded
2010
Specialties
Automotive Supplier Data, Automotive OEM Data, Data Acquisition, Data Aggregation, Data Quality, Custom Mapping, Supply Chain Mapping, Risk Management, Supply Chain, Supply Chain Management, Collaboration, Risk Analysis, and Data Analytics

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