Research Article
On Data Driven Organizations and the Necessity of Interpretable Models
@INPROCEEDINGS{10.1007/978-3-030-05928-6_12, author={Tony Lindgren}, title={On Data Driven Organizations and the Necessity of Interpretable Models}, proceedings={Smart Grid and Internet of Things. Second EAI International Conference, SGIoT 2018, Niagara Falls, ON, Canada, July 11, 2018, Proceedings}, proceedings_a={SGIOT}, year={2019}, month={1}, keywords={Data driven framework Interpretability Organization}, doi={10.1007/978-3-030-05928-6_12} }- Tony Lindgren
Year: 2019
On Data Driven Organizations and the Necessity of Interpretable Models
SGIOT
Springer
DOI: 10.1007/978-3-030-05928-6_12
Abstract
It this paper we investigate data driven organizations in the context of predictive models, we also reflect on the need for interpretability of the predictive models in such a context. By investigating a specific use-case, the maintenance offer from a heavy truck manufacturer, we explore their current situation trying to identify areas that needs change in order to go from the current situation towards a more data driven and agile maintenance offer. The suggestions for improvements are captured in a proposed data driven framework for this type of business. The aim of the paper is that the suggested framework can inspire and start further discussions and investigations into the best practices for creating a data driven organization, in businesses facing similar challenges as in the presented use-case.
