Predictions and Analytics on Field Service

Power BI & More

المحتوى المقدم من Ulrik B. Carlsson and Ulrik Carlsson. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Ulrik B. Carlsson and Ulrik Carlsson أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

5y ago 35:42

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This episode is brought to you by D365UG.

Matt Lamb joins Ulrik Carlsson again to talk about the use of data science in Field Service implementations and why Field Service implementations are particularly interesting. The wealth of data can be used for both advanced machine learning scenarios to predict failures, creating advanced DAX formulas in Power BI to optimize Work Order scheduling, and why you might want to create your own ranking of Work Order as opposed to what is delivered out-of-the-box.

Topics discussed:

What’s special about Field Service?
Telemetry and IoT data
Vibrations as a predictor
Regression algorithms and Binary Classifications
Service Level Agreements
The Weighted Average Optimization Equation

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#Tech #Ulrik Carlsson #Podcasting Education #Ulrik B. Carlsson #Power BI