Predictions and Analytics on Field Service - a podcast by Ulrik Carlsson

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

Further episodes of Power BI

Further podcasts by Ulrik Carlsson

Website of Ulrik Carlsson