Journal of Applied Data Sciences
Vol 4, No 3: SEPTEMBER 2023

Modelling Data Warehousing and Business Intelligence Architecture for Non-profit Organization Based on Data Governances Framework

Adi Suryaputra Paramita (Information Systems Department, Universitas Ciputra Surabaya, Indonesia)
Harjanto Prabowo (Doctor of Computer Science Program, Binus Graduate Program, Universitas Bina Nusantara, Indonesia)
Arief Ramadhan (School of Computing, Telkom University, Indonesia)
Dana Indra Sensuse (Faculty of Computer Science, Universitas Indonesia, Indonesia)



Article Info

Publish Date
22 Sep 2023

Abstract

Information systems research for non-profit organizations is an opportunity to make a contribution to the field of information systems, the adoption of information systems in this field is relatively tedious and there are few studies that examine this area; consequently, there are several research gaps in the domain of non-profit organizations that need to be solved. This research will focus on the development of data warehouse architecture and business intelligence for non-profit organizations. In this study, the Soft Systems Methodology (SSM) technique will be employed to develop a data warehouse architecture and business intelligence. This research will interview twenty individuals to collect primary data, review organizational policy documents, and conduct an open-ended survey. The obtained data will then be qualitatively analyzed, resulting in the formation of rich picture diagrams, CATWOE analysis, and conceptual models, which will ultimately form a data warehouse architecture and business intelligence. This research has produced a microservices-enhanced data warehouse architecture and business intelligence for non-profit organizations.

Copyrights © 2023






Journal Info

Abbrev

JADS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

One of the current hot topics in science is data: how can datasets be used in scientific and scholarly research in a more reliable, citable and accountable way? Data is of paramount importance to scientific progress, yet most research data remains private. Enhancing the transparency of the processes ...