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Fleet Management and Big Data: Points to Consider

Smart Data Collective

The domain of logistics is no stranger to innovations either. The industry is continually changing, so if you want to successfully plan your budget, it is essential to effectively use the available funds in the present. Nowadays, managers across industries rely on information systems such as CRMs to improve their business processes.

Big Data 359
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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

However, monitoring these fluctuations is not merely about keeping track of sales and revenue. Businesses must ensure they have the appropriate logistical support to not only stock enough inventory but also move it efficiently during peak times.

Retail 312
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

Data Pine

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?

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Analyst’s corner digest #20

Analysts Corner

by Attila Evanics As an IT Business Analyst, you have to listen, monitor, observe, understand, analyze, present and learn. Despite its name, logistic regression is not a regression but a classification model. Despite its name, logistic regression is not a regression but a classification model.

Logistics 228
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5 Innovative Ways Big Data Is Shaping Cities Of The Future

Smart Data Collective

The report highlighted that , at the present rate of development, there will be 43 megacities by 2030 and New Delhi is set to surpass Tokyo, which is currently the world’s largest city. The modern world is increasingly urbanized and megacities are rising faster than ever before, especially in Asian and African countries.

Big Data 271
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Pioneering AI Frontier: Integrated Knowledge Bases

Analysts Corner

I want to emphasize that in this series of articles, my aim is not merely to present the current state of technology. Management : monitoring transactional data from business operations to generate indicators at various levels. My goal is to envision the next stages of evolution to guide research and development investments.

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Take Advantage Of Operational Metrics & KPI Examples – A Comprehensive Guide

Data Pine

We will discuss marketing, retail, human resources, sales, logistics, IT project management, and customer service examples that can grow the operational efficiency and decrease costs. In essence, they are able to learn from historical data and adjust for present and future operational and strategic performance.

Logistics 107