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Big Data, Analytics, and Industry 4.0

Enterra Insights

Analysts from the Boston Consulting Group (BCG) explain the first three revolutions were driven by steam, electricity, and automation. 1] The fourth revolution is being driven by data. ” IndustryWeek, 13 January 2020. [5] The post Big Data, Analytics, and Industry 4.0 6] Mahendraprabu Sundarraj, “ Industry 4.0:

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Leveraging Big Data in Logistics Into Meaningful Business Analytics

Intelligent Audit

One solution is to turn to big shipping data. Far from a buzzword, big data analytics in logistics and supply chain management are helping companies gain insight into their current performance while optimizing future operations. That’s why it’s critical to have an audit partner who can ingest data across all systems.

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Big Data Analytics are Table Stakes for Digital Age Businesses

Enterra Insights

Big Data is still a useful statistician’s tool, and can be examined to gain intuition that leads to new hypotheses — but those hypotheses then need to be investigated with statistical rigor.”[3] ” Big data analytics use cases. The question is, analyzed for what purpose? Customizing offers.

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How Do Supply Chain & Transportation Leaders Get Started Using Their Big Data Strategy?

GlobalTranz

The amount of information and improvement possible through big data can be overwhelming. Yet the majority of companies have not defined a big data strategy, and others are barely starting to notice. . �. How to Get Started with Your Big Data Strategy. . This is where the explanation of big data begins. .

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We Should Not AI Stupid

Supply Chain Shaman

The group’s goal was to drive process innovation through collaborative networking. The group wanted to focus on models and engines, so the conversation was void of a discussion of outcomes. I want to broaden the discussions to focus on policy, strategy, and rules automation, but most groups cannot help themselves.

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Customer Segmentation in a Privacy-driven World

Enterra Insights

James Mullany , a group director at marketing agency Beeby Clark+Meyler, insists the era of micro-targeting is over. He explains, “Opt-outs are surging, data collection is limited, and once-granular targeting options are fading.”[1] This is where customer segmentation comes into play.

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The Courage to Jump

Supply Chain Shaman

The term is a spin-off of the “Big Data” work from the open source innovation of the last decade. Ironically, supply chains are big data problems where the buyers have little understanding of the new technology approaches. I first encountered the term “digital transformation” in 2011.