Locus Technologies > Case Studies > Honeywell Enhances Data Quality and Efficiency with Locus Technologies

Honeywell Enhances Data Quality and Efficiency with Locus Technologies

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 Honeywell Enhances Data Quality and Efficiency with Locus Technologies - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Data-as-a-Service
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Electronics
  • Transportation
Applicable Functions
  • Logistics & Transportation
  • Quality Assurance
Use Cases
  • Inventory Management
  • Visual Quality Detection
  • System Integration
  • Testing & Certification
The Customer

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.
The Challenge
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.
The Solution
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.
Operational Impact
  • The implementation of Locus EIM and the application of the Six Sigma quality-improvement approach resulted in significant improvements in Honeywell's data management processes. The use of automated, centralized web-based software tools delivered through a Software as a Service (SaaS) model proved to be optimal for improving the process. This resulted in cost reductions, while simultaneously enhancing data quality and long-term data usability and preservation. The changes brought about by the implementation of EIM represented a significant shift in terms of data quality, environmental risk reduction, and overall process cost reduction.
Quantitative Benefit
  • A pilot project demonstrated cycle time and cost improvements of 50% and 65% respectively
  • Significant improvement in data quality
  • Substantial reduction in environmental risk

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