Remove Internet of Things Remove Optimization Remove Strategy
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275
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What is data architecture? A framework to manage data

CIO Business Intelligence

Optimize data flows for agility. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility. Modern data architectures must be designed to take advantage of technologies such as AI, automation, and internet of things (IoT). Seamless data integration.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO Business Intelligence

Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance. The Internet of Things will also play a transformative role in shaping the regions smart city and infrastructure projects.

IoT 105
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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

In 2020, BI tools and strategies will become increasingly customized. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company. Building advanced analytics models that can optimize outcomes is one of the latest BI trends that will shape the future of BI.

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. My closing thought — Cybersecurity is basically Data Analytics: detection, prediction, prescription, and optimizing for unpredictability.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

The pandemic and its aftermath highlighted the importance of having a robust supply chain strategy , with many companies facing disruptions due to shortages in raw materials and fluctuations in customer demand. Here’s how companies are using different strategies to address supply chain management and meet their business goals.