Remove 2007 Remove Big Data Remove Groups Remove Sourcing
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Reflections, Thank-you(s) and Rethinking the Future

Supply Chain Shaman

This includes: Sensors coupled with data from the Internet of Things (IOT). Open Source Technologies (Examples include Hadoop, Spark, Kafka). With the influx of unprecedented hurricane impacts on United Supply Chain operations, the CLX group was smaller than expected, but I found the group (albeit small) invigorating.

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Building Outside-In Processes

Supply Chain Shaman

While traditional supply chain processes evolved from functional excellence definitions for source, make and deliver from the inside-out; to make the digital pivot and become more market-driven, companies need to define new supply chain processes outside-in. As a group, spend time brainstorming how sentiment can be used cross-functionally.

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Growing Challenges in Supplier CSR Monitoring are Being Met with Powerful Digital Solutions

EcoVadis

This is creating a ‘triple-whammy’ of imperatives for procurement teams — and their trading partners — to monitor and manage risk, while at the same time exposing new sources of value that will be the key differentiators in the future. Additional data such as sustainability indicators, can be attached at each step in the chain.

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50 Online Resources for Aspiring Supply Chain Scholars

Supply Chain Opz

The data is grouped by industry based on North American Industry Classification System (NAICS). Compare logistics infrastructure using Logistics Performance Index World Bank has produced Logistics Performance Index (LPI) report since 2007 to aid policy makers to benchmark logistics infrastructure in their countries.

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Why Your Approach to MDM Matters: Single Domain MDM Versus Multidomain MDM

HICX Solutions

1] Alex Berson and Larry Dubov, Master Data Management and Customer Data Integration for a Global Enterprise. McGraw Hill, 2007. Data governance is not about a single person, or group, taking sole responsibility for data management and quality, but rather it is about collaboration and everyone contributing to a wider aim.

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Why Your Approach to MDM Matters: Single Domain MDM Versus Multidomain MDM

HICX Solutions

1] Alex Berson and Larry Dubov, Master Data Management and Customer Data Integration for a Global Enterprise. McGraw Hill, 2007. Data governance is not about a single person, or group, taking sole responsibility for data management and quality, but rather it is about collaboration and everyone contributing to a wider aim.

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Industry 3.X and TPM deciphered

KEPLER Consulting

The focus is on reducing the 16 OEE generalized losses, classified into three groups: equipment losses, labor-related losses, and material-, tool- and energy-related losses. Big Data analysis. The term “big data” refers to large, technically complex data sets for typical data analysis and processing applications.