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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.

Big Data 275
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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations.

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How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 60
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Welcome To The Digital Age: BI Meets Social Media

Smart Data Collective

One of them is by helping them improve their social media marketing strategies. With the help of BI tools, companies gain valuable insights, enabling them to decode user behavior, assess the impact of their social media strategies, and outshine their competitors. And just imagine the profits that that’ll bring them.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Leveraging data where it lies.

Analytics 109
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How to choose the best AI platform

IBM Big Data Hub

This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. Decision optimization: Streamline the selection and deployment of optimization models and enable the creation of dashboards to share results, enhance collaboration and recommend optimal action plans.

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What’s Top of Mind for CFOs Heading into 2024

Jet Global

With interest rates still rising, skills shortages still posing a challenge, and the specter of recession still haunting board rooms, CFOs are looking to technology to connect data, build agility, and drive profitability.

Finance 52