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http://hdl.handle.net/11718/24220| Title: | Data analytics to derive actionable business intelligence |
| Authors: | Divya |
| Keywords: | Data analytics;Business intelligence;R (Computer programming language) |
| Issue Date: | 2019 |
| Publisher: | Indian Institute of Management Ahmedabad |
| 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. |
| URI: | http://hdl.handle.net/11718/24220 |
| Appears in Collections: | Student Projects |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| SP_2654.pdf Restricted Access | 1.44 MB | Adobe PDF | View/Open Request a copy |
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