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

datapine

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. The future is bright for logistics companies that are willing to take advantage of big data. Now’s the time to strike.

Big Data 275
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Understanding Data Drill Down And Drill Through Analysis And Their Role In Efficient Reporting

datapine

From automated reporting, predictive analytics, and interactive data visualizations, reporting on data has never been easier. Now, if you are just getting started with data analysis and business intelligence it is important that you are informed about the most efficient ways to manage your data.

Reporting 173
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Quantitative and Qualitative Data: A Vital Combination

Sisense

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. The challenge comes when the data becomes huge and fast-changing.

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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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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 63
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7 famous analytics and AI disasters

CIO Business Intelligence

That line of inquiry led to a predictive analytics project that would famously lead the retailer to inadvertently reveal to a teenage girl’s family that she was pregnant. That, in turn, would lead to all manner of articles and marketing blogs citing the incident as part of advice for avoiding the “creepy factor.”.

Analytics 145
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How to choose the best AI platform

IBM Big Data Hub

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Quality assurance : AI-driven machine vision on data-driven assembly lines identifies product defects, issuing alerts for corrective actions to maintain quality. trillion in value.