Small and medium enterprise business solutions using data visualization

The small and medium enterprise (SME) companies optimize performance using different automated systems to highlight the operations concerns. However, lack of efficient visualization in reporting results in slow feedbacks, difficulties in extracting root cause, and minimal corrective actions. To comp...

詳細記述

書誌詳細
出版年:Bulletin of Electrical Engineering and Informatics
第一著者: 2-s2.0-85093887354
フォーマット: 論文
言語:English
出版事項: Institute of Advanced Engineering and Science 2020
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093887354&doi=10.11591%2feei.v9i6.2463&partnerID=40&md5=34030bb461dc6e0e9ed104b3c0fc51ce
その他の書誌記述
要約:The small and medium enterprise (SME) companies optimize performance using different automated systems to highlight the operations concerns. However, lack of efficient visualization in reporting results in slow feedbacks, difficulties in extracting root cause, and minimal corrective actions. To complicate matters, the data heterogeneity has intensely increased, and it is produced in a fast manner making it unmanageable if the traditional methods of analytics are applied. Hence, we propose the use of a dashboard that can summarize the operational events using real-time data based on the data visualization approach. This proposed solution summarizes the raw data, which allows the user to make informed decisions that can give a positive impact on business performance. An interactive intelligent dashboard for SME (iid-SME) is developed to tackle issues such as measurement of cases completed, the duration of time needed to solve a case, the individual performance of handling cases and other tasks as a proof of concept. From the result, the implementation of the iid-SME approach simplifies the conveyance of the message and helps the SME personnel to make decisions. With the positive feedback obtained, it is envisaged that such a solution can be further employed for SME improvement for better profit and decision making. © 2020, Institute of Advanced Engineering and Science. All rights reserved.
ISSN:20893191
DOI:10.11591/eei.v9i6.2463