Data Analysis

Data Analysis

Warranty service is crucial for manufacturers, but utilizing warranty data effectively is often overlooked. wareconn warranty cloud data analysis feature addresses this by collecting, validating, and analyzing data to enhance customer service. It involves six stages: data statistics, quality analysis, component statistics, warranty estimation, warranty costs, and service decision-making.

Warranty Chain Management
Warranty Cloud
Warranty Management
Repair Services
Field Service Management App
Asset Management App
Data Analysis

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2024/10/17

Selection and Challenges of Asset Management System - Part One

In response to the ESG trend, enterprises are actively promoting energy-saving and carbon reduction management, especially in the environment of global supply chain restructuring. While considering energy-saving, are they also facing challenges in effectively managing assets? With the rise of Industry 4.0, the management mindset under the demographic dividend of the past few years may also need to accelerate digitization. In addition to implementing Manufacturing Execution System (MES), how should the corresponding asset management system be selected? Is it just to digitize asset management-related operations (inspection, maintenance, repair), or can it effectively improve asset reliability, reduce unexpected downtime, and even improve asset utilization value through data analysis of asset maintenance processes? Research indicates that asset maintenance costs can account for anywhere from 0.5% to 25% of enterprise revenue [1]. The choice of digitized system management will seriously affect the enterprise's operating performance and profitability.
Innovation in Product Warranty Management - Part Two
2024/10/17

Innovation in Product Warranty Management - Part Two

Under the guidance of Industry 4.0 and intelligent technology, the era of emerging technology trends has arrived. Whether it is robot technology or artificial intelligence, automation, advanced materials and manufacturing, the Internet of Things, cloud co
Warranty Data - Driving the Transformation of After-Sales Service-Part Two
2024/10/17

Warranty Data - Driving the Transformation of After-Sales Service-Part Two

Under the drive of the Industry 4.0 era, the basis of the corresponding transformation opportunities for after-sales service lies in data. Whether it's enterprises focusing on the development of connected products, the transformation of XaaS business model, digital transformation, installation excellent, resilient supply chains, omni-channel services, the deployment of digital twins as service enablers, or providing intelligent analytics, these all increase the importance of warranty data acquisition and analysis. Especially when facing the emergence of new technology products, geopolitical supply chain reorganization, and the shift of the customer experience economy, the overall industry strategy is gradually shifting from product-centric to customer-centric intelligent experiences[1].
Innovation in Product Warranty Management - Part One
2024/10/17

Innovation in Product Warranty Management - Part One

Under the guidance of Industry 4.0 and intelligent technology, the era of emerging technology trends has arrived. Whether it is robot technology or artificial intelligence, automation, advanced materials and manufacturing, the Internet of Things, cloud co
Selection and Challenges of Asset Management System - Part Two
2024/10/17

Selection and Challenges of Asset Management System - Part Two

In response to the ESG trend, enterprises are actively promoting energy-saving and carbon reduction management, especially in the environment of global supply chain restructuring. While considering energy-saving, are they also facing challenges in effectively managing assets? With the rise of Industry 4.0, the management mindset under the demographic dividend of the past few years may also need to accelerate digitization. In addition to implementing Manufacturing Execution System (MES), how should the corresponding asset management system be selected? Is it just to digitize asset management-related operations (inspection, maintenance, repair), or can it effectively improve asset reliability, reduce unexpected downtime, and even improve asset utilization value through data analysis of asset maintenance processes? Research indicates that asset maintenance costs can account for anywhere from 0.5% to 25% of enterprise revenue [1]. The choice of digitized system management will seriously affect the enterprise's operating performance and profitability.
Warranty Data - Driving the Transformation of After-Sales Service-Part One
2024/10/17

Warranty Data - Driving the Transformation of After-Sales Service-Part One

Under the drive of the Industry 4.0 era, the basis of the corresponding transformation opportunities for after-sales service lies in data. Whether it's enterprises focusing on the development of connected products, the transformation of XaaS business model, digital transformation, installation excellent, resilient supply chains, omni-channel services, the deployment of digital twins as service enablers, or providing intelligent analytics, these all increase the importance of warranty data acquisition and analysis. Especially when facing the emergence of new technology products, geopolitical supply chain reorganization, and the shift of the customer experience economy, the overall industry strategy is gradually shifting from product-centric to customer-centric intelligent experiences[1].
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On March 22, 2023, the European Commission officially adopted a new proposal Right to Repair (R2R), which is a common rule advocating for product repair by reducing waste to save consumers expenses, while supporting the goal of sustainable consumption under the European Green Deal [1].