Jurnal Algoritma
Vol 22 No 1 (2025): Jurnal Algoritma

Real-Time data Integration dan Modeling Untuk Kebutuhan Business Intelligence Menggunakan Pendekatan Agile

Rudi, Rudi Hartono (Unknown)



Article Info

Publish Date
23 May 2025

Abstract

The purpose of this research is to explore how real-time data integration and adaptive modeling can support faster and more accurate data-driven decision making in a dynamic business environment. The Agile BI method allows organizations or companies to respond quickly to changing business needs through flexible iterative cycles. The results of this research show that the use of the Agile BI approach in real-time data integration can be developed by producing visual dashboard products for business analysis and decision-making needs. This research also provides practical advice related to strengthening technological infrastructure, increasing the capacity of human resources, and managing data security to support the implementation of Agile BI optimally.

Copyrights © 2025






Journal Info

Abbrev

algoritma

Publisher

Subject

Computer Science & IT

Description

Jurnal Algoritma merupakan jurnal yang digunakan untuk mempublikasikan hasil penelitian dalam bidang Teknologi Informasi (TI), Sistem Informasi (SI), dan Rekayasa Perangkat Lunak (RPL), Multimedia (MM), dan Ilmu Komputer (Computer ...