- Analytics & Modeling - Data-as-a-Service
- Platform as a Service (PaaS) - Data Management Platforms
- Logistics & Transportation
- Quality Assurance
- Inventory Management
- Visual Quality Detection
- System Integration
- Testing & Certification
Honeywell, a Fortune 500 company specializing in diversified technology and manufacturing, was in need of an enterprise remediation data management system. The company sought a system that could safeguard and maintain the quality and integrity of their significant investment in generating site remediation data. They also wanted to ensure that this data was available for future use and could assure business partners of its reliable quality. Honeywell's existing data was scattered across stand-alone consultant systems, spreadsheets, and paper records, making it difficult to access and share within the company.
Honeywell International Inc.
About The Customer
Honeywell is a Fortune 500 company that operates as a diversified technology and manufacturing leader. The company is involved in a wide range of industries, including aerospace, building technologies, performance materials and technologies, and safety and productivity solutions. Honeywell's operations are global, with the company having a presence in numerous countries around the world. The company was in need of a comprehensive solution that could improve the management and preservation of their substantial investment in site remediation data.
To address these challenges, Honeywell implemented Locus EIM, a solution designed to enhance their environmental data management process for remediation locations across the U.S. and selected overseas locations. An EIM site was established for all active projects, and all analytical and technical data generated during ongoing site activities were entered into EIM. Additionally, all mission-critical legacy data residing in stand-alone consultant systems were migrated into EIM. Honeywell also applied the Six Sigma quality-improvement approach to the complex and mission-critical process of remedial site environmental data management. This approach involved both qualitative and quantitative methods to improve the electronic management of analytical laboratory data generated for environmental remediation and long-term monitoring programs.
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