ITM Web Conf.
Volume 41, 2022International Conference on Exploring Service Science (IESS 2.2)
|Number of page(s)||15|
|Section||Digital Innovation through Smart Services|
|Published online||08 February 2022|
From Customer Data to Smart Customer Data: The Smart Data Transformation Process
1 Business School, Université du Québec à Trois-Rivières, Canada
2 The University of Danang, University of Science and Technology, Vietnam
3 Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam
4 Vietnam National University, Ho Chi Minh City, Vietnam
* Corresponding author: email@example.com
Nowadays, smart data has emerged as a new trend in creating more business value for enterprises that is defined as the data that is gathered and processed to create new insights to support business decisions. However, the transformation from data into actionable insights is still a real challenge for enterprises. For this reason, this paper presents a smart data transformation process, which aims at transforming customer data into smart customer data in order to offer actionable insights. The purpose of the study is to propose a transformation process that can be used to operate a knowledge structure for a smart service system, which can manage and deliver smart data as a service. The process covers the three dimensions of a service system: Data processing corresponding to the engineering dimension, information processing corresponding to the science dimension, and knowledge processing corresponding to the management dimension for knowledge processing. Accordingly, a case study on the smart data transformation process of a customer journey management system as a smart service system is presented to demonstrate the application of the proposed process.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.