PUBLISHED DATE: 2026-11-12 00:17:01

Case Study: Chevron’s Supply Chain Cloud Transformation | Publicis Sapient

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Chevron Speeds Up Supply Chain Queries 45% by Moving Its Data Platform to Azure

Rebuilding an on-premise supply chain data platform on Microsoft Azure.

Summary

Moving Chevron’s supply chain data to the cloud put every pipeline, table and query in one place, and made all of it faster to use.

45 % queries completed faster
200 + data pipelines integrated
450 stored procedures and queries

Global Investment Management Firm Speeds Up Decision Time by 33%

Client Chevron

Industry E&C

Topic Data Platforms & Architecture

Partner Microsoft

In this customer story

Intro
The Problem
The Solution
The Impact

Intro

Chevron needed to move from a legacy data platform to a cloud-based solution that would enable greater efficiency, profitability and agility. Moving to the cloud would make data available to supply chain users for better collaboration and decision making. No more costly upgrades. Less disruption costs. The power to scale. This was the cloud opportunity.

The Problem

Chevron manages 200+ data pipelines and ingests data from various internal and external sources to standardize and share it across functions responsible for managing the flow of crude oil and refined products. Replacing the legacy on-premise data platform with a platform deployed in the cloud has enabled better operational efficiency, improved agile business decision making and higher profitability.

The Solution

Publicis Sapient and Chevron successfully moved data pipelines to the cloud, modeling and migrating tables, stored procedures and queries and migrating a data quality engine.

The major components of the platform delivery included:

Integration: More than 200 data integration jobs were converted to Azure Data Factory
Performance: Proper design and management of resources in the cloud was crucial.
Analytics & Consumption: Data needed to be transformed and served to the business functions needing the data, without disruptions.

The Impact

Migrating the data foundation to Azure has:

Minimized support and disruption costs
Improved capability to enhance and scale the platform
Enabled future advanced capabilities
Improved ability to develop, test, and deploy changes quickly

Now, more than 400 users can access all integrated supply chain data in one place and can use self-service BI for seamless data exploration and analysis. The new platform has also enabled significant reduction of legacy costs. The team used agile work processes that remove infrastructure/administrative dependencies for simple tasks. Improved self-sufficiency of developers minimizes development cost and time.

" We can now easily deploy advanced analytics services, including AI, quickly and easily on top of our existing data assets. Integrating those on-premise would take significantly longer. "

— Troy Engstrom, Sr Manager, Digital Carbon Management, Chevron