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

datapine

Working with a mix of historic (trend-based), real-time, and predictive insights, everyone on your team will be able to make valuable strategic suggestions, take active measures to spot any spiraling trends before they cause organizational damage, and keep on top of every process or operation with pinpoint precision.

Big Data 275
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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 108
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Debunking observability myths – Part 5: You can create an observable system without observability-driven automation

IBM Big Data Hub

Fact: Automation plays a crucial role in observability (and in any modern IT organization) High-performing IT departments tend to release software more frequently, and trying to keep up manually is neither sustainable nor scalable. Reduced human error: Manual observation introduces a higher risk of human error.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data.

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And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

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Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

Jet Global

The value of embedded analytics is unmistakable. Application teams that embed dashboards and reports drive revenue, reduce customer churn, and differentiate their software from the competition. The challenge is collecting all that data into one place and making it understandable. What Are the Hidden Costs and Challenges?