NTT Data > Case Studies > Modernizing Data Platform for Manufacturing & Industrial Machinery Company

Modernizing Data Platform for Manufacturing & Industrial Machinery Company

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 Modernizing Data Platform for Manufacturing & Industrial Machinery Company - IoT ONE Case Study
Technology Category
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Buildings
  • Construction & Infrastructure
Applicable Functions
  • Product Research & Development
  • Warehouse & Inventory Management
Use Cases
  • Additive Manufacturing
  • Manufacturing Process Simulation
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
The Challenge
The manufacturing and industrial machinery company needed to improve its data platform's speed, scale, and sustainability to meet evolving business needs and deliver data products faster and more efficiently.
The Customer

Worldwide Manufacturing & Industrial Machinery Company

About The Customer
The customer is a leading manufacturing and industrial machinery company that develops innovative equipment and machinery for electrical power generation. They empower their customers by maximizing availability, reliability, and value throughout an equipment's life cycle.
The Solution
The company partnered with NTT DATA to migrate from an on-premises Oracle data warehouse and Informatica ETL environment to Snowflake's Data Cloud with Matillion ELT and Qlik Replicate on AWS. This modernized architecture provided an extensible technology stack that unified data sources, management, and analytics tools for greater agility, scale, and sustainability.
Operational Impact
  • [Data Management
    this cloud transformation improves and simplifies data management while reducing data load times and data latency.
Quantitative Benefit
  • The cloud transformation improved and simplified data management, reduced data load times and data latency, and broadened the scope of cloud-based data sources. It also provided on-demand scale and performance for data warehousing, resulting in an agile, sustainable cloud data platform that powers compelling business insights and drives continued growth.

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