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UK Government tests frictionless trade models with Ecosystem of Trust pilots

IBM Big Data Hub

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The models also reduce private sector customs data collection costs by 40%.

Testing 88
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275
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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. Frequency distribution is extremely keen in determining the degree of consensus among data points. Why do all industries engage in data research and analysis?

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How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis.

Risk 94
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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

Errors can originate from various sources, including data collection, integration, models, visualization, governance, and security. Organizations will make better-informed, data-driven decisions by minimizing errors and avoiding the negative consequences of relying on inaccurate information.

Metrics 130
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How Data Ethics Supports Governance & Monetisation

Alation

In the Cambridge Analytica case, the company went from a data strategy focused on monetisation by increased revenue to company closure due to the reputational damage from the negative media and public response. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical.