research data . Dataset . Under curation

Industrial Benchmark Dataset for Customer Escalation Prediction

Nguyen, An; Foerstel, Stefan; Kittler, Thomas; Kurzyukov, Andrey; Schwinn, Leo; Zanca, Dario; Hipp, Tobias; Da Jun, Sun; Schrapp, Michael; Rothgang, Eva; ...
Open Access English
  • Publisher: Zenodo
Abstract
This is a real-world industrial benchmark dataset from a major medical device manufacturer for the prediction of customer escalations. The dataset contains features derived from IoT (machine log) and enterprise data including labels for escalation from a fleet of thousands of customers of high-end medical devices. The dataset accompanies the publication "System Design for a Data-driven and Explainable Customer Sentiment Monitor" (submitted). We provide an anonymized version of data collected over a period of two years. The dataset should fuel the research and development of new machine learning algorithms to better cope with real-world data challeng...
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