Organizational Issue for BI Success

Author(s):  
Sanjiva Shankar Dubey ◽  
Arunesh Sharan

This chapter will focus on the transformative effect Business Intelligence (BI) brings to an organization decision making, enhancing its performance, reducing overall cost of operations and improving its competitive posture. This chapter will enunciate the key principles and practices to bridge the gap between organization requirements vs. capabilities of any BI tool(s) by proposing a framework of organizational factors such as user's role, their analytical needs, access preferences and technical /analytical literacy etc. Evaluation methodology to select best BI tools properly aligned to the organization infrastructure will also be discussed. Softer issues and organizational change for successful implementation of BI will be further explained.

Author(s):  
Sanjiva Shankar Dubey ◽  
Arunesh Sharan

This chapter will focus on the transformative effect Business Intelligence (BI) brings to an organization decision making, enhancing its performance, reducing overall cost of operations and improving its competitive posture. This chapter will enunciate the key principles and practices to bridge the gap between organization requirements vs. capabilities of any BI tool(s) by proposing a framework of organizational factors such as user's role, their analytical needs, access preferences and technical /analytical literacy etc. Evaluation methodology to select best BI tools properly aligned to the organization infrastructure will also be discussed. Softer issues and organizational change for successful implementation of BI will be further explained.


2014 ◽  
Vol 5 (3) ◽  
pp. 41-57 ◽  
Author(s):  
Ahad Zare Ravasan ◽  
Sogol Rabiee Savoji

Nowadays, many organizations take Business Intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This paper seeks to identify critical success factors (CSFs) that impact on successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects in Iran. Robust Exploratory Factor Analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational”, “human”, “project management”, and “technical”. The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.


IFLA Journal ◽  
2020 ◽  
pp. 034003522093188 ◽  
Author(s):  
Faten Hamad ◽  
Razan Al-Aamr ◽  
Sinaria Abdel Jabbar ◽  
Hussam Fakhuri

Data plays a major role in helping to understand clearly the changing needs of academic library users, and in helping libraries to innovate their services and procedures accordingly. Data needs to be transformed into information for decision-making and strategic planning. Business intelligence offers powerful analytical tools, such as visualization and data-mining tools, which lead to informed decisions and hence transform the user’s experience, bringing it to a more advanced level. This research investigates the concept of business intelligence from the perceptions of information department staff at academic libraries in Jordan. The opportunities and challenges associated with it are also discussed and explored. As indicated by the results, information department staff agree that business intelligence improves decision-making, helping decision-makers to make the most accurate and timely decisions for the library. The results also indicate that an appropriate infrastructure is important for the successful implementation of business intelligence in academic libraries in Jordan.


Author(s):  
Ahad Zare Ravasan ◽  
Sogol Rabiee Savoji

Many organizations take business intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This chapter seeks to identify critical success factors (CSFs) that impact on the successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects. Robust exploratory factor analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational,” “human,” “project management,” and “technical.” The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.


Author(s):  
Beixin (Betsy) Lin ◽  
Yu Hong ◽  
Zu-Hsu Lee

A data warehouse is a large electronic repository of information that is generated and updated in a structured manner by an enterprise over time to aid business intelligence and to support decision making. Data stored in a data warehouse is non-volatile and time variant and is organized by subjects in a manner to support decision making (Inmon, Rudin, Buss, & Sousa, 1998). Data warehousing has been increasingly adopted by enterprises as the backbone technology for business intelligence reporting and query performance has become the key to the successful implementation of data warehouses. According to a survey of 358 businesses on reporting and end-user query tools, conducted by Appfluent Technology, data warehouse performance significantly affects the Return on Investment (ROI) on Business Intelligence (BI) systems and directly impacts the bottom line of the systems (Appfluent Technology, 2002). Even though in some circumstances it is very difficult to measure the benefits of BI projects in terms of ROI or dollar figures, management teams are still eager to have a “single version of the truth,” better information for strategic and tactical decision making, and more efficient business processes by using BI solutions (Eckerson, 2003).


2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdul Hamid Arribathi ◽  
Maimunah Maimunah ◽  
Devi Nurfitriani

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.


2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević

Research carried out in the last few years as the example of companies belonging to the category of medium-size enterprises has shown that, for example, typical enterprises, of the total number of data processed in information of importance for its business, seriously takes into consideration and process only 10% of the observed firms. It is justifiable to ask whether these 10% of the processed and analyzed business information can have an adequate potential or motive power to direct the organization to success that is measured by competitive advantages and on a sustainable basis? Or, the question can be formulated: what happens to the rest, mostly 90% of the information that the enterprise does not transform into a form suitable for business analysis and decision-making. It is precisely the task of business intelligence to find a way to utilize all the data collected and processed in the business decision-making process. In this regard, we can conclude that Business Intelligence is, in fact, the framework title for all tools and / or applications that will enable the collection, processing, analysis, distribution to decision-making bodies in the business system in order to derivate from this information valid business decisions - as the most important and / or most important task of the manager. Of course, from an economic point of view, the best decisions are management decisions that provide a lasting competitive advantage and achieve maximum financial performance. This means that business intelligence actually allows a more complete and / or comprehensive view of the overall business performance of all its parts and subsystems. But the system functions can be measured essential and positive economic and financial performance, as well as the position in the branch of the business to which it belongs, and wider, within the national economy. (Of course, today the boundaries of the national economy have become too crowded for many companies, bearing in mind globalization and competitiveness in the light of organization of work and business function). The advantage of business intelligence as a model, if accepted at the organization level, ensures that each subsystem in the organization receives precisely the information needed to make development decisions, but also decisions regarding operational activities. So, it should be born in mind that business intelligence does not imply that information is shared on some key words, on the contrary, the goal is to look at the context of the business, or in general, and that anyone in the further decision hierarchy can manage exactly the same information that is necessary for achieving excellent business performance. Because, if the insight into the information is not complete, the analysis is based on the description of individual parts, i.e. proving partial performance in the realization of individual information, which can certainly create a space for the loss of the expensive time and energy. Illustratively, if the view, or insight into the information, is not 100%, then all business decision-making is like the song of J.J. Zmaj "Elephant", about an elephant and a blindmen, where everyone feels and act only on the base of the experienced work, and brings judgment on what is what or what can be. As in this song for children, everyone thinks that he touches different animals and when they make claims about what they feel, everyone describes a completely different life. Therefore, business intelligence implies that information is fully considered and it is basically the basis or knowledge base, and therefore the basis of business excellence. In doing so, the main problem is how information is transformed into knowledge and based on it in business decision making. It is precisely in this segment that the main advantage of business intelligence is its contribution to the knowledge and business of the company based on power of knowledge. Therefore, for modern business conditions, it is characteristic that the management of the company is realized on the basis of partial knowledge about stakeholders (buyers, suppliers, competitors, shareholders, governments, institutional framework, legislation), and only a complete overview of managers at the highest level in all these partial interest groups allows managers to have a “boat” called the organization of labor leading a safe hand through the storm, Scile and Haribde threatens to endanger business, towards a calm sea and a safe harbor - called a sustainable competitive advantage based on power and knowledge.


Author(s):  
Vivek N. Bhatt

The article focuses on the study of prevailing decision making styles of Small Scale Industrial (SSI) Units. It presents data collected from 200 SSI units from Bhavnagar – a coastal city of Gujarat, India. The objective of writing the article is to depict heuristic decision patterns of small and medium enterprises, and the rare use of analytical or statistical business intelligence tools in decision making processes. It would be interesting to study the design of decision taken on routine basis in small units, poorly equipped with technology and technical know-how. The paper is descriptive in terms, and lays a lucid picture of present decision making processes.


2021 ◽  
Vol 13 (6) ◽  
pp. 3326
Author(s):  
Wei Tong Chen ◽  
Hew Cameron Merrett ◽  
Ying-Hua Huang ◽  
Theresia Avila Bria ◽  
Ying-Hsiu Lin

Construction occupational accidents are often attributed to workers’ having an insufficient perception of how their actions influence safety in the construction site. This research explores the relationship between safety climate (SC) and personnel safety behavior (SB) of construction workers operating on building construction sites in Taiwan. The study discovered a significant positive relationship between SC and SB of Taiwan’s building construction sites, and in turn SC level had a positive impact on SB participation and overall safety perceptions. The higher the SC cognition of Taiwan’s building construction workers, the better the performance of SB was found to be. The dimension of "safety commitment and safety training" had the greatest relationship with SB. Safety training also had a deep impact on the cognition of SB. Therefore, the organizational culture and attitudes to safety coupled with the successful implementation of safety education and training can effectively enhance SC and worker SB on building construction sites in Taiwan, thereby potentially reducing the impacts of the underlying organizational factors behind safety related incidents.


Author(s):  
Kristin Feltmann ◽  
Johanna Gripenberg ◽  
Anna K. Strandberg ◽  
Tobias H. Elgán ◽  
Pia Kvillemo

Abstract Background The use of illicit substances causes various health and social problems globally. Moreover, open drug use and dealing in urban areas, i.e., open drug scenes, can cause public order problems, lead to the recruitment of marginalized and young people for drug use or sale, and induce feelings of insecurity in the general public. Although some international studies have described various ways to manage open drug scenes, such as law enforcement and social interventions, there is limited knowledge about the facilitators and barriers promoting or impeding the implementation of such interventions. The aim of the current study was to explore how different authorities describe the nature of two open drug scenes in Stockholm and to derive authorities’ perspective on facilitators and barriers to implementing interventions to reduce open drug dealing, drug use, and related problems at these locations. Methods Semi-structured interviews with police officers, security staff, social workers, and municipality officials (n = 21) in the municipality of Stockholm were conducted and analyzed by qualitative content analysis. Results The analysis of the interviews generated the following categories: Problems, Interventions, Organizational factors, and External factors, revealing information about the strategic and daily counteracting work occurring at the open drug scenes as well as authorities’ perceptions of facilitators and barriers to implementing interventions to reduce open drug dealing, drug use, and related problems. Facilitators included motivated and skilled professionals and organized collaboration between key actors. Prominent barriers were a lack of resources to maintain personnel continuity at the scenes, policies that impede information sharing and put security staff in danger, and people who use or sell drugs without having residence permits. Conclusions To increase the possibility of successful implementation of interventions to counteract open drug dealing, politicians and authorities should pay attention to collaboration between key actors, sufficient resource allocation, possible modification of policy governing professional duties, and remedies to the vulnerability of individuals without residence permits.


Sign in / Sign up

Export Citation Format

Share Document