Title: Business intelligence and data analytics framework: case study of humanitarian organisations refugees' registration system

Authors: Amal Ballout; Mays Alhasan; Salam Fraihat; Ammar Elhassan

Addresses: King Hussein School of Computing Sciences, Princess Sumaya University for Technology, Jordan ' King Hussein School of Computing Sciences, Princess Sumaya University for Technology, Jordan ' King Hussein School of Computing Sciences, Princess Sumaya University for Technology, Jordan ' King Hussein School of Computing Sciences, Princess Sumaya University for Technology, Jordan

Abstract: Business intelligence and analytics has gained prominent focus among organisations with information systems that collect and process vast amounts of data. Voluminous, unprocessed data does not lend itself to offering useful insights for businesses, especially with basic statistical methods and traditional reporting techniques. In this work, we design a business intelligence and data analytics framework for refugee registration system serving over six million refugees to collect, collate and filter demographic data. The proposed reporting mechanism leverages the power of interactive dashboards to offer informative and intuitive reports and visualisations that are accessible and interpretable by stakeholders.

Keywords: business intelligence; analytics; demographics; reporting; dashboards.

DOI: 10.1504/IJICA.2022.121384

International Journal of Innovative Computing and Applications, 2022 Vol.13 No.1, pp.11 - 17

Received: 24 Jan 2020
Accepted: 21 Apr 2020
Published online: 10 Mar 2022 *