Intelligent Systems for Data Warehouse systems

RESEARCH PAPER 0
Article Name: N., Denic, V., Vujovic, S. Filic And, B., Spasic, “Analysis of key success factors for
business intelligence systems implementation,” structure, vol. 42, no.6, p.30, 2016.
Intelligent Systems for Data
Warehouse systems

RESEARCH PAPER 1
Table of Contents
Introduction.................................................................................................................... 2
The intention of the paper.................................................................................................. 2
Research methods............................................................................................................ 3
Research design........................................................................................................... 3
Research strategy.......................................................................................................... 3
Data collection............................................................................................................. 4
Data analysis............................................................................................................... 4
Problems decorated by the writers........................................................................................ 4
Results and findings......................................................................................................... 4
Conclusion of the paper..................................................................................................... 5
Conclusion..................................................................................................................... 6
References..................................................................................................................... 7

RESEARCH PAPER 2
Introduction
The term intelligent system refers to the computing system that incorporates intelligence into
applications that are handled by computer machines. It is a part of artificial intelligence that
helps companies to control and optimize data in the warehouse systems. Using intelligent
systems, the data warehouse can perform search and optimization with the learning abilities [2].
It has the capability to gather effective information and implement reliable decisions in the data
warehouse systems. The aim of the investigation is to review a journal article based on intelligent
systems for data warehouse systems. The title of the chosen paper is “Analysis of Key Success
Factors for Business Intelligence Systems Implementation” which will be reviewed in this
research. Numerous sections will be included in this paper such as the intention of the article,
research methods adopted, issues highlighted by writers, results, and conclusion of the paper.
The intention of the paper
According to Denic, Vujovic, Filic and, Spasic, (2016), intelligence systems are based on
machine learning and AI systems that help to design and implement effective decisions in the
workplace [1]. In the area of a data warehouse, business intelligent systems play a significant
character by which companies can manage the operations of data warehouses in an appropriate
manner. The chosen paper evaluated key success factors of the implementation of intelligent
systems in the data warehouse networks. In which a literature search is adopted that helped to
obtain effective data about intelligent systems and data warehouse systems and also reviewed
findings of recent articles [3].
In this modern era, many business communities are moving towards intelligent systems due to
their potential to manage complex tasks and help to manage data warehouse systems effectively.
the writers reported that the business intelligence system is a priority for enterprises that are used
in the companies due to numerous factors including organizational factors, project factors, data
handling factors and many more [4]. It is determined that intelligent systems deliver effective
management support and approaches by which data can be handled in warehouses without using
human assistance. The researchers included a conceptual framework that helped to obtain
effective points in regard to the intelligent systems and data warehouse systems.