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Supply Chain Leadership Driving Industry 4.0 & Resilience During Crisis – LogiSYM July 2020

The Logistics & Supply Chain Management Society

Machine learning and big data analytics augments critical roles in supply chain efficiency, problem solving and cost saving. Data acquisition and filtering and scenario analysis are time consuming practices in supply chain. it is perfect quality, zero waste, and happy satisfied customers. Efficiency and cost management.

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The expanding scope of procurement analytics: Some initial thoughts

NC State SCRC

better order timing), the digitized information typically entails information quality issues. Even today, emerging research finds that managers observe the non-negligible level of inaccuracy in data for physical goods challenges and that such inaccuracy requires time-consuming practices to be corrected.

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Top Automotive Mobile Barcoding Software Success Stories

RFgen

Automotive brand Aston Martin recalled a total of 17,590 cars, which equates to approximately 75 percent of the vehicles made between November 2007 and May 2012. How Ford is Implementing Big Data into its Supply Chain. Bringing big data into the supply chain is not always as simple as buying the right software.

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What € 30M funding really means to us: Accelerating sustainable procurement

EcoVadis

First of all, on behalf of the team here, we can thank our Co-Founders and Co-CEOs Pierre-François Thaler and Frédéric Trinel for their tireless dedication, and who have devoted their intelligence, passion and seemingly endless energy to building EcoVadis since 2007. A focus on quality and performance. Bravo, and thank you!

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Seasoned Leadership in Action™ – An Interview with Stephany Lapierre, CEO at tealbook!

Supply Chain Game Changer

I launched my second business, a strategic sourcing and procurement consulting firm in 2007. As we introduced systems and tools, it created more data islands which inhibited leadership from having visibility and good quality data while putting a burden on teams who would spend too much time reconciling supplier information.

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16 ERP implementation risks that vendors WON’T tell you

Unleashed

Data integration & quality As a part of the ERP implementation process, you’ll migrate all of your old data into the new centralised system. For starters, you’ll have to find all of that old data. Then there’s the issue of data quality. Learn more: Implement Change Management with New Software 3.

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Building Outside-In Processes

Supply Chain Shaman

Explore how you can capture, harmonize and analyze this data to inform upstream processes. For example, should customer sentiment data feed into quality systems? For example, in the recession of 2007, DuPont missed the downturn in the market. Into warranty systems? Trade promotion decisions?