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

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	Honeywell Enhances Data Quality and Efficiency with Locus Technologies Locus Technologies

Honeywell Enhances Data Quality and Efficiency with Locus Technologies

Locus Technologies

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
Services	System Integration Testing & Certification
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. Read More
About 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. Read More
Customer Name	Honeywell International Inc. Read More
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. Read More Log in to view content
Contents

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

Services

System Integration

Testing & Certification

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.

About 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.

Customer Name

Honeywell International Inc.

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.

Impact #1	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.

Impact #1

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.

Benefit #1	A pilot project demonstrated cycle time and cost improvements of 50% and 65% respectively
Benefit #2	Significant improvement in data quality
Benefit #3	Substantial reduction in environmental risk

Benefit #1

A pilot project demonstrated cycle time and cost improvements of 50% and 65% respectively

Benefit #2

Significant improvement in data quality

Benefit #3

Substantial reduction in environmental risk

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Overview

Honeywell Enhances Data Quality and Efficiency with Locus Technologies

Operational Impact

Quantitative Benefit