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Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis!

Smart Data Collective

This is where data collection steps onto the pitch, revolutionizing football performance analysis in unprecedented ways. The Evolution of Football Analysis From Gut Feelings to Data-Driven Insights In the early days of football, coaches relied on gut feelings and personal observations to make decisions.

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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO Business Intelligence

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

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Krones real-time production line monitoring with Amazon Managed Service for Apache Flink

AWS Big Data

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. For example, if a certain data point that is monitored violates a threshold, there can be a text message or trigger for a maintenance order on the line. This read-only data can be ingested by using a control stream.

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Top 15 data management platforms available today

CIO Business Intelligence

How to choose which DMP is right for your organization While each organization will have its own unique needs, a number of common factors are important to keep in mind when selecting a data management platform. The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice.

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Top 15 data management platforms

CIO Business Intelligence

The reporting capabilities enable users to drill down into individual numbers for greater insight using the Analytics 360 platform. The goal for the Lotame data management platform is to track marketing performance in the face of increasing concerns for privacy and cookie usage. Analytics, Data Management, Marketing Software

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. What Is A Misleading Statistic? Scientists! But this didn’t come easy.