CASE STUDY

Michelin Steers Partner Fleet to Central,
Streamlined Data StoreFounded by French brothers Édouard and André Michelin in 1889, Michelin has spent the past 130+years innovating and improving with new technologies. Today, it’s a $19 billion company and one of
the world’s leading auto tire manufacturers. Michelin has 112,000 employees, controls 14 percentof the world’s auto tire market, and maintains a presence in 171 countries worldwide.
Like many enterprises, Michelin is focused on innovating through data analytics, bringing data frommore sources into its systems to improve forecasting, better serving its customers, and making
strategic, data-driven decisions.
Vital to Michelin’s sustained success, Michelin’s partner fleet comprises a variety of companies,
each of which uses a disparate database system, that ship and distribute tires worldwide.
To glean valuable insights from this collection of inventory, shipping, and trend data tucked away inits fleet partners’ databases, Michelin wanted a way to gather this same data into its own, unified
data store. Additionally, such a system would need to accommodate its partners’ existing ITinfrastructures.

The Challenge: Centralizing Data from Diverse Fleet Partners intoOne PostgreSQL Data Store
Michelin has invested in creating a smooth process for onboarding fleet partners.
Michelin’s challenge has always been that various partners handle data in different ways, using avariety of tools and data formats.
Like many enterprises and growing companies, Michelin uses centralized data stores formaintaining data and extending data access to key decision-makers and solutions developers. As aresult, Michelin needed a way to convert that data into one format so they could easily move it into
their PostgreSQL data store for ongoing storage and maintenance.
Once in PostgreSQL, they could bring that data into a separate, easy-to-use production-side
database run through PostgreSQL. From the production-side database, Michelin could then quickly
access fleet data from the BI & analytics tools of its choice to support all the workflows and data
analysis it wanted.
Michelin also needed to make adoption easy for its partners, so any solution had to integrate
seamlessly with Michelin’s PostgreSQL data store and accommodate the many solutions

CData Software | Michelin										

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Michelin’s partner fleet already had in place.

The Solution: Broad Integration through Lightweight, Scalable
Connectors
As Michelin began its search for a way forward, the company looked for a modern, lightweightsolution that checked all of its boxes:
Broad-Spectrum Connectivity: data connectors for both PostgreSQL and the broader ecosystem ofpartner solutions
Low-Risk and Well-Supported: easy to implement on a small, test basis
Great Value: eliminates the need for a lengthy internal RFP process
Scalable: able to handle thousands of fleet partners and millions of transactions, but simple andeasy enough to start small
Great Support: a company that could stand behind their integration solution
After conducting an extensive evaluation process and pitting various solutions against each other,
Michelin determined CData Arc stood out from the crowd and best fit its needs.

The Results: Streamlined, Centralized Partner Fleet DataManagement
Michelin has enjoyed a successful implementation and streamlined its partner fleet managementwith CData Arc. Michelin has now implemented a rapid process for bringing partner data into its
PostgreSQL data store.
Throughout the implementation process, the CData Arc Support Team maintained open
communication with Michelin to ensure successful deployment. Our team even traveled toMichelin’s offices in order to provide hands-on training for Michelin’s entire fleet EDI development
team.
After conducting a smaller implementation with CData Arc, Michelin is now onboarding morepartners and adding 25 more CData Arc Connectors to expand the pool of partner data sources
connected to its PostgreSQL data store.

CData Software | Michelin										

2And as Michelin continues to scale its partner fleet, CData Arc will scale with Michelin to handle
millions of transactions.

CData Software is the real-time data connectivity company. Our connectivity solutions provide easy access to live data fromhundreds of on-premises and cloud applications. Consumable by any user, accessible within any application, and built for all
enterprises, CData is redefining data-driven business.

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