scholarly journals Relations between IT Architecture and Information Quality in DW and BI Environments

2012 ◽  
Author(s):  
Samuel Otero Schmidt ◽  
Edmir P. Vasques Prado ◽  
Hiroo Takaoka
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Research Method ◽  
Information Quality ◽  
Decision Making Process ◽  
Research Model ◽  
It Architecture

The organizations are investing more in information technology to collect, store and process vast amounts of information. Generally this information has no standard and repeated data, which hinders the decision making process. The cause of the difficulties is related to Information Quality (IQ) that has technical characteristics related to the architecture used in Data Warehouse (DW) and Business Intelligence (BI) environments. Based on the existing literature and insights from the author a research model was created to identify the relations between components of DW/BI architecture and IQ dimensions. We used the case study as research method. This research makes contributions to better understand IT architecture for DW/BI.

IT Architecture and Information Quality in Data Warehouse and Business Intelligence Environments

2014 ◽  
pp. 112-127
Author(s):  
Samuel Otero Schmidt ◽  
Edmir Parada Vasques Prado
Keyword(s):  
Data Warehouse ◽  
Business Intelligence ◽  
Information Quality ◽  
Relevant Literature ◽  
Research Model ◽  
Structured Interviews ◽  
It Architecture ◽  
Financial Company ◽  
The Relationship

Organizations are currently investing more in information technology to store and process a vast amount of information. Generally, this information does not comply with any standard, which hinders the decision-making process. The cause of the difficulties can be attributed to Information Quality (IQ), which has technical characteristics related to the architecture used in Data Warehouse (DW) and Business Intelligence (BI) environments. On the basis of the relevant literature in IQ, DW, and BI, a research model was created to identify the relations between components of DW/BI architecture and IQ dimensions. This research model was applied in a real case study (Big Financial Company in Brazil). This case study involved semi-structured interviews with managers and analysts. This chapter attempts to provide a better understanding of the relations between IT architecture and IQ in DW and BI environments. The authors hope to motivate the discussion around the development of IQ-oriented architectures for BI and the relationship between these concepts.

scholarly journals Financial Literacy of Students – The Case Study of UITM in Rzeszów, Poland

e-Finanse ◽  
2020 ◽  
Vol 16 (3) ◽  
pp. 106-118
Author(s):  
Karolina Palimąka
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Young People ◽  
Literature Review ◽  
Financial Literacy ◽  
Financial Knowledge ◽  
Decision Making Process ◽  
Degree Programs

Abstract The article focuses on the phenomenon of financial literacy of students. Financial literacy is treated as a combination of financial knowledge and the decision-making process where one has to make a choice based on experience and theory. The aim of this paper is to draw attention to the essence of financial literacy, including knowledge of banking (especially of young people). For this purpose, a literature review was used. Own research complements the topic as a case study, where the author verifies whether students assess their knowledge in a way that corresponds to reality and verifies whether students need to expand their financial knowledge sorely necessary nowadays. The survey was completed by 380 students from University of Information Technology and Management in Rzeszów, of both economic and non-economic field of studies. There are some unexpected results, for example the most important is that students from a financial field of studies end up with worse results than their peers from the non-financial degree programs.

scholarly journals Warehouse Data System Analysis PT. Kanaan Global Indonesia

2020 ◽  
Vol 1 (3) ◽  
pp. 70-73
Author(s):  
Tino Feri Efendi ◽  
Mutiya Krisanty
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Inventory Control ◽  
Research Method ◽  
System Analysis ◽  
Historical Data ◽  
Decision Making Process ◽  
Literature Study ◽  
Precise Information ◽  
Operational Systems

Data Warehouse is a computer system for archiving and analyzing historical data of an organization. An organization copies information from its operational systems to a warehouse. The purpose of this research is to help provide information in supporting the decision-making process in the field of sales, purchasing and material inventory control at PT Kanaan Global Indonesia. PT Kanaan Global Indonesia previously presented the data warehouse manually. By designing a data warehouse system, company leaders can be more assisted in making decisions that are faster and more precise. The research method used includes analysis of observations, interviews, documentation and literature study. The result of this research is the availability of a data warehouse that can produce fast and precise information, thus helping the company in making decisions.Keywords— Data, Information, Warehouse

scholarly journals The application of a Business Intelligence tool for strategic planning in a higher education institution: a case study of the University of the Witwatersrand

2011 ◽  
Vol 7 (1) ◽  
Author(s):  
Vincent Nyalungu
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Knowledge Management ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Technology Knowledge ◽  
The University

This article presents a discussion on the importance of business intelligence (BI) and the role that a specific BI tool, Business Intelligence Enterprise Edition, plays in the strategic decision-making processes in an organisation. The University of the Witwatersrand, often referred to as Wits, was used as a case study. The main objective of a business intelligence tool is to improve the quality and timeliness of the input of data to the organisational decision-making process. The quality of the data, which is an organisational asset, is therefore of the utmost importance. Approaches for the identification of business intelligence from corporate information and knowledge management were also assessed. A questionnaire was administered among key informants within the university in order to address some of the pertinent issues at higher education institutions. In addition, the role of a data warehouse within the business intelligence framework was presented. The paper itself covers a wide range of disciplines from information technology, knowledge management to decision sciences. The article also presents a proposed framework to be used in line with the best practices in the implementation of business intelligence solutions.Keywords: Business Intelligence (BI), Business Intelligence Enterprise Edition (BIEE), Data Warehouse, Strategic Decision Making, Strategic Planning, Higher Education Institutions and Knowledge Management.Disciplines: Information Technology, Knowledge Management, Management Sciences, Decision Sciences & Management

scholarly journals THE DEVELOPMENT OF THE APPLICATION OF A DATA WAREHOUSE AT PT JKL

2012 ◽  
Vol 6 (1) ◽  
pp. 8 ◽  
Author(s):  
Choirul Huda ◽  
Rita Puspita Sari ◽  
Muharram Hasein Haekal ◽  
Tri Agustaria
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Data Warehouse ◽  
Historical Data ◽  
Decision Making Process ◽  
Literature Study ◽  
Process Methodology ◽  
The Right ◽  
A Company ◽  
Analyze Data

One rapidly evolving technology today is information technology, which can help decision-making in an organization or a company. The data warehouse is one form of information technology that supports those needs, as one of the right solutions for companies in decision-making. The objective of this research is the development of a data warehouse at PT JKL in order to support executives in analyzing the organization and support the decision-making process. Methodology of this research is conducting interview with related units, literature study and document examination. This research also used the Nine Step Methodology developed by Kimball to design the data warehouse. The results obtained is an application that can summarize the data warehouse, integrating and presenting historical data in multidimensional. The conclusion from this research is the data warehouse can help companies to analyze data in a flexible, fast, and effective data access.Keywords: Data Warehouse; Inventory; Contract Approval; Inventory; Dashboard

scholarly journals Data Warehouse Testing: A Step Towards using Business Intelligence in Banking

2019 ◽  
Vol 8 (4) ◽  
pp. 12365-12372
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Business Performance ◽  
Quality Analysis ◽  
Decision Making Process ◽  
Management Problem ◽  
Process Data ◽  
Report Generation ◽  
Business Decision

In the modern era, technology plays a vital role by contributing in the development of business by providing various tools and techniques to enhance the business decision-making process. Data warehouse is an important entity that contributes to the decision-making process, which can be seen in the literature available over the years. Data warehouse provides the basis for quality analysis of available data by deriving accurate information from data. Like many other industries, banking sector is also facing challenges due to various reasons like large over-dues, non-performing assets, changing customer demographics, matching customer expectation levels, increased competition from financial technological companies and banking competitors, etc. Thus data warehouse system serves to be the best solution for the banks to overcome challenges as data warehouse system integrates all the data at one place and provides a consolidated view of the past transactions which can be used for report generation and performing analytical analysis in order to help the management to maximize business performance. In addition to making strategic decisions, data warehouse also assist in helping the banks to improve customer retention, optimize discounting, market segmentation, business performance, customer deposits, etc. Thus, a data warehouse system provides a solution to all data management problem and generate patterns and reports for analytical end users for enhancing decision making processes. In this research paper, we shall be representing a bank model that focuses on the loan department of a bank data warehouse and shall be explaining how business intelligence plays a role in improving the loan analysis for the banks. Loan analysis may include summarizing the classified loans, analyzing loans within and exceeding the threshold limits of Loan-To-Value (LTV) ratio, analysis of loan rejections and other analysis pertaining to loans.

scholarly journals IMPLEMENTATION OF BUSINESS INTELLIGENCE ON BANKING, RETAIL, AND EDUCATIONAL INDUSTRY

2013 ◽  
Vol 7 (2) ◽  
pp. 65 ◽  
Author(s):  
Arta Moro Sundjaja
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Business Process ◽  
Business Intelligence ◽  
Large Data ◽  
Daily Basis ◽  
Decision Making Process ◽  
Data Set ◽  
Large Data Set

Information technology is useful to automate business process involving considerable data transaction in the daily basis. Currently, companies have to tackle large data transaction which is difficult to be handled manually. It is very difficult for a person to manually extract useful information from a large data set despite of the fact that the information may be useful in decision-making process. This article studied and explored the implementation of business intelligence in banking, retail, and educational industries. The article begins with the exposition of business intelligence role in the industries; is followed by an illustration of business intelligence in the industries and finalized with the implication of business intelligence implementation.

Implementation System of Business Intelligence System In The Company

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdul Hamid Arribathi ◽  
Maimunah Maimunah ◽  
Devi Nurfitriani
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Research Library ◽  
Decision Making Process ◽  
Intelligence System ◽  
Business Intelligence Systems

This study aims to determine the stages that must be implemented in building a Business Intelligence System structured and appropriate in building Business Intelligence Systems in an organization, and understand the important aspects that must be considered for investment development Business Intelligence System is increasing. Business must be based on the conditions and needs of the organization in achieving the desired goals. If these conditions occur, then the decision-making process will be better and more accurate. The purpose of this study is to determine the important aspects that must be understood and prepared in using the Business Intelligence System in an organization. The method used is the explanation as well as the research library of several books, articles and other literature.

Did Groupthink or Polythink Derail the 2016 Raqqa Offensive?

2019 ◽  
Author(s):  
Kasey Barr ◽  
Alex Mintz
Keyword(s):  
Decision Making ◽  
Group Dynamics ◽  
Decision Making Process ◽  
Islamic State ◽  
Study Analysis ◽  
Strategic Decisions ◽  
Case Study Analysis ◽  
The Us ◽  
Tactical Decisions

This chapter examines the effect of group dynamics on the 2016 decision within the administration of President Barack Obama to lead the international coalition in a mission to liberate Raqqa, Syria, from the Islamic State. The authors show that whereas the groupthink syndrome characterized the decision-making process of the US-led coalition’s decision to attack Raqqa, it was polythink that characterized the decision-making dynamics both in the US-led coalition and within the inner circle of Obama’s own foreign policy advisors. Through case-study analysis, the authors illustrate that groupthink is more likely in strategic decisions, whereas polythink is more likely in tactical decisions.

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