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Big Data, Analytics, and Industry 4.0

Enterra Insights

Despite years of discussion about the fourth industrial revolution (aka Industry 4.0), the revolution remains in its infancy. They write, “Industrial production was transformed by steam power in the nineteenth century, electricity in the early twentieth century, and automation in the 1970s.”[1] ”[3] In the Industry 4.0

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Give Analytics A Chance

Supply Chain Shaman

We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Manage Make, Source, and Deliver Together. At the enterprise level, manufacturers and retailers focus on corporate efficiency. Fourteen of twenty-eight industries have rising inventories. What to do?

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Give Analytics A Chance

Supply Chain Shaman

We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Manage Make, Source, and Deliver Together. At the enterprise level, manufacturers and retailers focus on corporate efficiency. Fourteen of twenty-eight industries have rising inventories. What to do?

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6 challenges facing medical device manufacturers and how ERP analytics can provide a cure

SYSPRO Smarter ERP

As members of one of the most highly regulated industries in the world, medical device manufacturers face numerous challenges. From stringent quality standards to comprehensive documentation requirements, Class 1 and 2 manufacturers must navigate a complex landscape to ensure compliance and product excellence.

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Bridging the Gap: Uniting Arena PLM and Part Analytics for Efficient Supply Management

Arena Solutions

Data Integration: The Ultimate Challenge In today’s rapidly evolving world, effective collaboration between engineering, sourcing, and the supply chain is paramount, particularly when it comes to managing costs and mitigating risks in the electronics industry. This divergence in data sources can lead to a host of issues.

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Supply Chain Analytics: Benefits, Challenges & Architecture

SCMDOJO

Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?

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Prescriptive Analytics is Going Mainstream. Is your Organization Ready?

AIMMS

To do this, many are relying on prescriptive analytics. According to Gartner, 11% of mid and large-sized enterprises currently have some form of prescriptive analytics. AIMMS has been in the market of prescriptive analytics (otherwise known as mathematical optimization) since 1989. This will grow to 37% by 2022.