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Application Development of E-Commerce Business Intelligence Dashboard

Muhammad Naufal Prakoso1 , Nuryuliani 2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-8 , Page no. 79-83, Aug-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i8.7983

Online published on Aug 31, 2019

Copyright © Muhammad Naufal Prakoso, Nuryuliani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Muhammad Naufal Prakoso, Nuryuliani, “Application Development of E-Commerce Business Intelligence Dashboard,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.8, pp.79-83, 2019.

MLA Style Citation: Muhammad Naufal Prakoso, Nuryuliani "Application Development of E-Commerce Business Intelligence Dashboard." International Journal of Computer Sciences and Engineering 7.8 (2019): 79-83.

APA Style Citation: Muhammad Naufal Prakoso, Nuryuliani, (2019). Application Development of E-Commerce Business Intelligence Dashboard. International Journal of Computer Sciences and Engineering, 7(8), 79-83.

BibTex Style Citation:
@article{Prakoso_2019,
author = {Muhammad Naufal Prakoso, Nuryuliani},
title = {Application Development of E-Commerce Business Intelligence Dashboard},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2019},
volume = {7},
Issue = {8},
month = {8},
year = {2019},
issn = {2347-2693},
pages = {79-83},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4793},
doi = {https://doi.org/10.26438/ijcse/v7i8.7983}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i8.7983}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4793
TI - Application Development of E-Commerce Business Intelligence Dashboard
T2 - International Journal of Computer Sciences and Engineering
AU - Muhammad Naufal Prakoso, Nuryuliani
PY - 2019
DA - 2019/08/31
PB - IJCSE, Indore, INDIA
SP - 79-83
IS - 8
VL - 7
SN - 2347-2693
ER -

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Abstract

Application of Business intelligence produces information that can be used as decision support. Companies in the E-Commerce require business intelligence applications to manage existing data to be useful. Manager using this information for decision in strategy or staff for operational support. In this study, researchers created a business intelligence dashboard application that can be used as a reference for e-Commerce companies in processing raw data to become useful information for decision. Development of business intelligence application based on business intelligence architecture. The business intelligence architecture consists of data source, ETL, data warehouse, Dashboard and BI users. Business Intelligence Application is created using Dashboard to display information. The results of this study are business intelligence dashboard application which has four dashboard options for e-Commerce companies. The summary dashboard displays a summary of information. The customer dashboard displays information based on the customer. The product dashboard displays information based on the product. Transaction dashboard displays information based on transaction. Module testing on dashboard is done using black box testing, the test results on four dashboards in the application, can function correctly.

Key-Words / Index Term

Business Intelligence, Dashboard, Decision, E-Commerce

References

[1] N. Fatma, S. Jain, and M.A. Alam, “Visualisation and Analysis of Big Data through Business Intelligence”, IJCSE, Vol.7, Issue.4, pp.629-636, 2019.
[2] E.N.S. Yuliani, H. Subawanto, and A. Oktaviani, “Business Intelligence Dashboard Implementation on a Travel Agency in Jakarta”, IJAERS, Vol.4, Issue.6, pp.63-68, 2017.
[3] B. Hansoti, “Business Intelligence Dashboard in Decision Making”, Purdue University, Indiana, 2010.
[4] Kendall and Kendall, "System Analysis and Design 8th edition, 2010.
[5] R. Sherman, “Business intelligence guidebook : from data integration to analytics”, Elsevier, USA, 2015.
[6] I.L. Ong, P.H. Siew, and S.F. Wong, “A Five-Layered Business Intelligence Architecture”, Communications of the IBIMA, Vol.2011, pp.1-11.