Data analytics to derive actionable business intelligence

Abstract

In this project, data Analytics will be applied to assembly line operations of Bosch to predict which internal component is likely to fail (Bosch, 2016). This is a wide dataset and the dependent variable, failure of a part, is categorical. Similarly, in the case of Mercedes-Benz, the given dataset needs to analyzed to determine the time on the bench for various combinations of car features and testing protocols (Mercedez-Benz, 2017). Here, the parameters are categorical but the predicted time is a continuous quantity.