MATEC Web Conf.
Volume 218, 2018The 1st International Conference on Industrial, Electrical and Electronics (ICIEE 2018)
|Number of page(s)||7|
|Section||Industrial And Engineering Applications|
|Published online||26 October 2018|
Incremental Innovation towards Business Performance: Data Management Challenges in Healthcare Industry in Indonesia
School of Industrial Engineerin, Telkom University, Bandung, Indonesia
2 Department of Computer Engineering and Informatics, Politeknik Negeri Medan, Indonesia
3 Department of Anesthesiology and Reanimation, Universitas Sumatera Utara, Indonesia
Corresponding author: email@example.com
The Industry 4.0 indicate the increases in competitive pressures, the margins reduction, the availability of new technology and the marketing development techniques suggest making more complex decisions to make and sustain the success. Data management is essential for organizations because the administrative process, which data is acquired, validated, stored, protected and processed through its accessibility, reliability and timeliness ensures that the needs of data are met. It is also a process of developing data architectures, practices and procedures that address the data and then implement these aspects on a regular basis. All these process will ease and smoothen the business flow. Therefore, there are number of data management challenges to maintain sheer volume of data, taking reactive approach, lack of process and data handling, fragmented data ownership and driving a data culture. This study investigate the current issues in health industry to overcome through recognizing both the importance of quality data and having more sophisticated approach to manage data as the organization begin shifting to be more data centric model.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.