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Big Data, Analytics, and Industry 4.0

Enterra Insights

”[6] He also notes, “Digital transformation is never a one-time exercise, but a continuous improvement program.” 5] Editorial Team, “ What Data Analytics Really Means to the Industrial Sector ,” Manufacturing Business Technology, 10 March 2021. [6] The post Big Data, Analytics, and Industry 4.0

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Supply Chain Risk in the Age of Big Data

Enterra Insights

I recommend conducting frequent “what if” exercises to do just that. They engage themselves in alternative futures exercises. Risk management plans then need to be tested against scenarios developed during “what if” exercises to determine their robustness. Supply Chain Risk in the Age of Big Data.

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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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Data Privacy Day 2024

Enterra Insights

wrote, “Big data and AI are infamously providing corporations and governments with the means to know us ‘better than we know ourselves.’ ”[5] Most people recognize there is a tradeoff between the personalization consumers want and the data they are willing to share. ” Retail Dive, 2 November 2022.

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Is It Time to Concentrate on Climate Adaptation?

Enterra Insights

. … Targeting your data collection based on identified hotspots helps to focus your efforts on areas that matter, and helps to prioritize reduction efforts.” Treat data collection as a dynamic exercise. According to East, “Gathering data isn’t a one-and-done, rinse-and-repeat process. ” 4. .

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An executive’s guide to AI in supply chain management

Kinaxis

Transitioning from hype to reality, artificial intelligence (AI) is gaining momentum across industries thanks to an explosion in computing power and storage, the emergence of IoT (Internet of Things) and big data, and algorithmic advances. Artificial intelligence.

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Towards Successful Digital Transformation – Separating the hype from reality

The Logistics & Supply Chain Management Society

Futuristic road transportation technology with digital data transfer graphic showing concept of traffic big data analytic and internet of things. Additionally, supply chain digitalisation is never a one-off exercise but rather a continuous effort. Closing Thoughts.