AREVA Renewable Energy
Customer Company Size
Large Corporate
Region
- Europe
Country
- France
Product
- Tableau
Tech Stack
- Data Visualization
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Renewable Energy
Applicable Functions
- Business Operation
Use Cases
- Demand Planning & Forecasting
Services
- Data Science Services
About The Customer
AREVA Group is a renewable energy company with a portfolio of renewable energy offers in wind energy, bio-energy, solar power, and hydrogen power. AREVA Wind, a division of the group, manufactures and designs the M5000 turbine, a field-proven wind energy converter for offshore wind farms. The M5000 turbine is the first 5MW wind energy converter exclusively designed for offshore conditions, guaranteeing the highest reliability levels. The company produces 100 windmills a year at their plant and was looking to expand their production capacity.
The Challenge
AREVA Group, a renewable energy company, was looking for a tool to help present data to their executive committee. They needed to analyze and visualize data to strategically meet the demand for delivering more wind turbines. The initial project that Tableau helped them to analyze was the production of 100 windmills a year at their plant. They needed to know when a 2nd and 3rd plant would be needed. They asked themselves when should they build? Where will they build? How many jobs will they create?
The Solution
AREVA Group implemented Tableau, a data visualization tool, to analyze and present data to their executive committee. Within a month, they had a tool that was running perfectly. With Tableau, they could put everything on one chart, including sales, marketing, production, purchases, and finances. This allowed them to see the whole organization and how different departments had to work together to realize the project. They were able to gather all their departments around one table and see their direction, their goal. They saw what they had to do to deliver turbines and windmills in time, in hours, and to accomplish the project all together.
Operational Impact
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