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TechnipFMC logo

Key highlights

  • All data across the organization is being stored in an accessible and secure manner
  • Utilizing tools for analytics and modules for machine learning using Spark
  • Data analysts and data scientists have gained insights from the edge
  • Achieved more efficiencies, better results for clients, and better products

TechnipFMC is a global leader in oil and gas projects, technologies, systems, and services to provide their clients with deep expertise across subsea, onshore/offshore and surface projects. The company’s vision is to enhance the performance of the world’s energy industry. It has nearly 38,000 employees and operates in 48 countries.
 

Challenge

TechnipFMC needed a centralized place for all the company’s data. The data needs to be used for building machine learning models, and for that, it needs to have an effective way to store and analyze it. There was also a need for the company to have the ability to deliver enterprise data analytics at scale.
 

Solution

The company implemented an architecture of Hortonworks Connected Platforms running on Amazon Web Services (AWS) in the cloud. It is leveraging a mix of AWS services to run these platforms. Another key component has been the Operational Services team for the big data implementation.
 

Results

Currently 13 projects are up and running, with more to be added. Data is being stored and analyzed securely across the organization. The platform has enabled data analysts and data scientists to gain insights that come from the edge and quickly produce results on their own. This leads to more efficiencies, better results for clients, and better products.