supply chain metrics

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Building greater trust in your data

Published By: Oracle     Published Date: Jun 04, 2019
Yes, you can build better trust in your data óbut only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
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Oracle

Building greater trust in your data

Published By: Oracle     Published Date: Jun 04, 2019
Yes, you can build better trust in your data óbut only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
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Oracle

Building greater trust in your data

Published By: Oracle     Published Date: Jun 10, 2019
Yes, you can build better trust in your data óbut only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
Tags : 
    
Oracle

Building greater trust in your data

Published By: Oracle     Published Date: Jun 10, 2019
Yes, you can build better trust in your data óbut only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
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Oracle

Migration Made Easy: Switching VAN Providers Without the Fire Drills

Published By: Inovis     Published Date: Aug 06, 2007
The challenges presented by multiple Value-Added Networks (VANs) and managing diverse trading partners create barriers to the efficiencies promised by EDI. Multiple providers mean multiple points of failure with no one entity to hold accountable. Also, as trading communities grow, end-to-end supply chain visibility becomes an essential operational requirement.
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van, vans, value added, value-added, value added, edi, electronic data interchange, scm, supply chain, migration, inovis, tco, total cost of ownership, business metrics, vendor selection, best practices, return on investment, supply chain management, collaborative commerce, spend management
    
Inovis

LNS Research: Quality 4.0 Impact and Strategy Handbook

Published By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isnít focusing on Quality 4.0, since many quality teams are still trying to solve yesterdayís problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
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SAS

Bridging the IoT Perception Gap 3rd party white paper†

Published By: SAS     Published Date: Jun 06, 2018
The Internet of Things (IoT) is rapidly emerging as a core transformational technology of the digital era. The ability to gather data from sensors embedded throughout an enterprise can drive insights and operational efficiencies from the supply chain to the customer. But IoT and Industrial IoT (IIoT) implementations require high degrees of IT/OT convergence - collaboration and integration between information technology and operational technology groups - to succeed. These two groups, however, often have different goals, performance metrics, and perspectives on both the collaboration and the outcome. This SAS/HPE-sponsored paper helps readers get a better understanding of the relationship, either real or perceived, between these two groups. Futurum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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SAS

Smarter Supply Chain Utilization for the Retailer

Published By: Microsoft Dynamics     Published Date: Jul 11, 2007
This paper introduces various supply chain concepts and explains their importance. It describes initiatives being undertaken by the largest retailers and reviews what small and mid-size firms need to do to compete.
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retailer, enterprise resource, erm, erp, sales software, sales management, scm, supply chain, supply chain management, microsoft, microsoft dynamics, radio frequency, rfid, collaboration, service level, marketing, business metrics, operations, distribution, plant
    
Microsoft Dynamics

Customer Data-Driven Supply Chain: Top Five Practices

Published By: IBM     Published Date: Feb 04, 2014
Explore the top five practices in today's customer-data-driven supply chain and examine the impact of using customer data on key supply chain metrics.
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ibm, aberdeen group, analytics report, customer data, data-driven, supply chain, best practices, social shopping, social networks, analyst insight, supply chain metrics, data streams, big data, data center, data analysis, industry demands, omni-channel environment, collaboration, social business, deployment trends
    
IBM

Storage Management: Supply Chain Apprach

Published By: Creekpath     Published Date: Aug 21, 2009
Supply chain storage management has become universally accepted in the marketplace as the umbrella term for the processes, methodologies and metrics that enable an enterprise to manage and monitor the results of its business activities. Can IT Operations Storage Management utilize the lessons of Supply Chain Management to realize business benefit?
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supply chain, storage management, storage, storage operations management, storage infrastructure, cost control, creekpath
    
Creekpath
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