© 2017 IEEE. Along the decision-making process we depend of assumptions, premises, the context and this is guided through the aim associated with the decision itself. The context and assumptions represents external aspects out of the control of any decision maker, but the premises and the knowledge of the company depends of our data. A common conceptual mistake is associated with the confusion related to data and information when indeed they are very different concepts. It is that to say, we can gather data from different heterogeneous data sources but nothing warranty us that the data are consistent, comparable and traceable. In this work we talk about the importance of the measurement and evaluation in relation with the data-driven decision making. Followed, we present the implications of an intuition-driven decision making and their possible social impact. Finally, An application case related with the monitoring of business process in the Autarchic Institute of Housing (La Pampa, Argentina) is shown for describing the application of the concepts related to data-driven decision making.
Divan, M. J. (2018). Data-driven decision making. In 2017 International Conference on Infocom Technologies and Unmanned Systems: Trends and Future Directions, ICTUS 2017 (Vol. 2018-January, pp. 50–56). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICTUS.2017.8285973