Supporting Strategic Decision Making on Service Evolution Context Using Business Intelligence

2013 ◽  
Author(s):  
Ernando Silva ◽  
Karin Becker ◽  
Renata Galante
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Service Evolution

scholarly journals Perceived Usefulness of Open Source Information in the Arabic Language for an Organization: A Case Study

2016 ◽  
Vol 9 (2) ◽  
pp. 281-290
Author(s):  
Cristian Obreja ◽  
Gabriel Cucuteanu
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Arabic Language ◽  
Perceived Usefulness ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Management Decision ◽  
Business Interests ◽  
Feedback Questionnaire

AbstractThe Case Study assesses the method by which theoretical concepts associated with collection and use of information on competition may be put into practice so as to enable the beneficiary organization having interests in countries in the MENA region# get advantage of the best business intelligence services provided based on open sources## available in Arabic language for top management decision-making.This study aimed to follow a three-month long evolution of a crisis in an organization reflected in the Arabic mass media in a country in which an organization has business interests. Articles and reviews making references to the analyzed crisis have been translated and analyzed. The materials were assessed and summarized and then the organization was provided with two information newsletters on this topic.After disseminating and discussing the content of informative newsletters within an organization, we asked its decision makers to fill out a feedback questionnaire and later in-depth interviews were held with the members of the board of directors aimed to establish the perceived usefulness of business intelligence for strategic decision-making.The study conclusions emphasize that business intelligence products obtained from open sources in Arabic language in countries where organizations have business interests may contribute to a great extent to supporting strategic decision-making. Also, the costs of obtaining this type of information are quite high as a huge amount of information must be translated and then analyzed and summarized. These activities require the use of qualified and experienced personnel.

Perceptions of Business Intelligence Professionals about Factors Related to Business Intelligence input in Decision Making

2016 ◽  
Vol 3 (3) ◽  
pp. 1-24 ◽  
Author(s):  
Carol P. Huie
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Decision Makers ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Business Decisions ◽  
Frequency Of Use ◽  
Information Frequency

Strategic decision-making is one of the most important criteria for organizational success. Therefore, it is vital to have a well-developed decision making process in place. However, one of the greatest challenges facing organizations today is making important and timely business decisions. The focus of this study was to examine critical business intelligence input factors that influenced the decision making process. The business intelligence input factors considered were accessibility, reliability, quality of information, frequency of use, relevance, security, and quality of decisions. The results of this study show that the decision making process is very complex. Based on the analyses of the data, the findings indicate that these factors help determine reasons why managers use business intelligence technology in the decision making process. These findings will help organizations decision makers make better. This can improve the operational and strategic decision making process, thereby creating a competitive advantage for the organization.

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 Investigating the use of business, competitive and marketing intelligence as management tools in the mining industry

2016 ◽  
Vol 14 (2) ◽  
pp. 27-35
Author(s):  
Dinko Herman Boikanyo ◽  
Ronnie Lotriet ◽  
Pieter W. Buys
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Business Performance ◽  
Significant Proportion ◽  
Mining Industry ◽  
Strategic Decision ◽  
Competitive Intelligence ◽  
Strategic Decision Making ◽  
Management Tools ◽  
Marketing Intelligence

The main objective of this research study is to investigate the extent to which business intelligence, competitive intelligence and marketing intelligence are used within the mining industry. Business intelligence, competitive intelligence and marketing intelligence are the management tools used to mine information to produce up-to-date intelligence and knowledge for operative and strategic decision making. A structured questionnaire is used for the study. A total of 300 mines are randomly selected from a research population of mining organizations in South Africa, Africa and globally. The respondents are all part of senior management. A response rate of 64% is achieved. The results indicat that more than half of the respondents do not have real-time intelligence and proper data mining tools to identify patterns and relationships within a data warehouse. Although a large proportion agrees that their organizations have systematic ways of gathering these different types of intelligence and use them for strategic decision making, there is a significant proportion that did not have any systems. Statistically and practically significant positive relationships with a large effect are found among the dimensions of business intelligence, marketing intelligence, competitive intelligence and perceived business performance

scholarly journals Business intelligence as an essential cooperate management tool for the logistics industry

2015 ◽  
Vol 12 (2) ◽  
pp. 468-474
Author(s):  
Chiemela Onunka ◽  
Remigius C. Nnadozie
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Business Intelligence ◽  
Business Processes ◽  
Strategic Decision ◽  
Management Tool ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Logistics Industry ◽  
Reporting Systems

Present and historic cooperate data provide the platform for deep interrogation of business processes with the aim of producing effective and timeous reports for management decisions. This study explores the abstract link between the successes and failures of strategic decision-making process and business intelligence as integral factors making significant impact on planned corporate destinations particularly in the logistics industry. The study advocates efficient business intelligence and strategic reporting systems for enhanced cooperate decision support.

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