scholarly journals Ataskaitų generavimo priemonių taikymas bankuose

2011 ◽  
Vol 58 ◽  
pp. 110-125
Author(s):  
Laima Zalieckaitė ◽  
Indrė Miniotaitė
Keyword(s):  
Data Storage ◽  
Business Intelligence ◽  
Assessment Tools ◽  
Classification Method ◽  
Generation Process ◽  
Sources Of Information ◽  
Report Generation ◽  
Intelligence System ◽  
Business Intelligence Systems ◽  
Bank Accounts

Besikeičianti ir sudėtinga išorinė verslo aplinka organizacijas, iš jų ir bankus, verčia aktyviai ir sparčiai reaguoti į rinkos pokyčius, ieškoti naujų galimybių, o tam reikalinga kokybiška ir operatyvi informacija, efektyvios rezultatų pateikimo ir analizės priemonės. Dinamiška rinkos situacija verčia bankus efektyviai valdyti ir vertinti rinkos riziką, t. y. turėti priemonių, leidžiančių įvairiais pjūviais analizuoti informaciją ir valdyti finansinės veiklos rodiklius. Maža to, valdoma įvairialypės informacijos šaltinių gausa lemia, kad duomenys tampa prieštaringi ir netikslūs. Šiame straipsnyje analizuojamas verslo įžvalgos technologijų sudedamosios dalies – ataskaitų generavimo priemonių, kurios padeda priimti efektyvius sprendimus ir sėkmingai spręsti iškylančias verslo problemas, taikymas bankuose.Pagrindiniai žodžiai: verslo įžvalgos technologijos, ataskaitų generavimo priemonės, ekspertinių sistemų technologija, verslo įžvalgos sistemos.Application of Report generation tools to banksLaima Zalieckaitė, Indrė Miniotaitė SummaryThe dynamic market situation is forcing banks to effectively manage and assess market risks, to have means to analyze various aspects of information management and financial performance, considering that the diverse sources of information, results, data are contradictory and inaccurate.The business intelligence technology is a tool that can help solve these problems. The report generation process is a very important tool for business intelligence technology. Bank managers of all levels rely on information in the reports when making business analysis and reports.The report generation process, changes in factor analysis show that a new approach to the environment of the bank accounts of the process generated, is qualitative changes and their implementation measures.Change is largely due to banks’ external environment and internal environment changes in the bank. Banks need a single universal set of data with all employees to analyze the data it required a cut. Unified data environment would allow a precise and clear definition of the data, and not to misinterpretation. Business intelligence systems based on the data storage, installation, and require the bank accounts of the generation business intelligence tools for installation. This would allow existing data to discover new patterns and possibilities to improve their performance.Following a thorough analysis of the reporting and assessment tools, these systems are classified in many ways, this paper reports the authors consists of generating the classification method. Summary of the classification method and the bank employees’ needs, the article defines the generation of reports should be supported by business intelligence system environment.As the report generation tools support a wide business intelligence systems (packages) spectrum are organizations, including banks, faced with problems when buying business intelligence systems. This article is for business intelligence systems, the selection criteria for banks in the environment, a bank employee needs and business intelligence systems vendor survey.According to the criteria of the banks analyzed and most suitable for the SAP BusinessObjects platform. However, to successfully implement a business intelligence system should be to determine which report generation tools will be implemented SAP BusinessObjects environment. It was therefore carried out a reporting tool features SAP BusinessObjects environment analysis and report generation steps up development bank model.Keywords: report generation tools, expert systems’ technology business intelligence systems.

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.

Business Intelligence System Design and its Consequences for Knowledge Sharing, Collaboration, and Decision-Making

2020 ◽  
pp. 382-402
Author(s):  
Lapo Mola ◽  
Cecilia Rossignoli ◽  
Andrea Carugati ◽  
Antonio Giangreco
Keyword(s):  
Decision Making ◽  
Knowledge Sharing ◽  
Business Intelligence ◽  
Two Phase ◽  
Intelligence System ◽  
Business Intelligence Systems ◽  
Managerial Implications ◽  
Decision Making Processes

This exploratory study analyses the effects of the technical and organisational characteristics of business intelligence systems (BIS) on knowledge sharing, collaboration, and decision-making processes. The authors conducted a two-phase multi-method investigation. First, we surveyed 30 enterprises using BIS on a regular basis; then, we engaged in an in-depth case study with one of the respondent companies. Our results show that, on average, the technical and organisational characteristics of the BIS are positively associated with an increase in knowledge sharing, leading to an improvement in internal collaboration that subsequently brings improvement in the quality of decision-making. This case study adds that the way the BIS is designed and appropriated in organisations is important in obtaining such results is. A BIS being designed so that it can be appropriated by the general employee base is key in obtaining the desired organizational impacts. This suggests some requirements for BIS design that we will discuss in terms of theoretical and managerial implications.

Critical Success Factors for the Implementation of Business Intelligence Systems

2018 ◽  
Vol 9 (2) ◽  
pp. 27-46 ◽  
Author(s):  
Florian Eder ◽  
Stefan Koch
Keyword(s):  
Business Intelligence ◽  
Critical Success Factors ◽  
Success Factors ◽  
Qualitative Content Analysis ◽  
Expert Interviews ◽  
Management Support ◽  
Intelligence System ◽  
Critical Success ◽  
Business Intelligence Systems ◽  
Definition Of

This article focuses on critical success factors during the implementation of a business intelligence system. The existing literature was reviewed, and critical success factors were extracted. Subsequently, the critical success factors that occur in practice were collected through qualitative expert interviews that are analysed through a qualitative content analysis. The critical success factors found in literature are afterwards compared with those that have been collected during the expert interviews. It was found that many of the critical success factors were mentioned in the literature and in the expert interviews as well, such as a strong management support, a light-weight approach, user acceptance, the project team and data quality. In addition, the performance of the business intelligence system, the definition of standards, terminology and key performance indicators as well as an institutionalization and integration of business intelligence were mentioned in the expert interviews.

scholarly journals SMUPI-BIS: a synthesis model for users’ perceived impact of business intelligence systems

2021 ◽  
Vol 21 (3) ◽  
pp. 1856
Author(s):  
Intedhar Shakir Nasir ◽  
Ayad Hameed Mousa ◽  
Ihab L. Hussein Alsammak
Keyword(s):  
Technology Acceptance ◽  
Business Intelligence ◽  
Structural Equation ◽  
Information Quality ◽  
Success Factors ◽  
End Users ◽  
Equation Modeling ◽  
Intelligence System ◽  
Business Intelligence Systems ◽  
Perceived Impact

Business intelligence is a collection of methodologies, methods, architectures, and technologies that convert raw data into significant and useful information used by organizations to enable more effective strategic, tactical, and operational insights and decision-making.  In spite of several studies have examined the critical success factors and development of business intelligence System, but few relevant studies have investigated perceptions of end-users Business Intelligence Systems. Furthermore, none of those studies was performed in a Higher Education Sector in Iraq. Consequently, the study aims to determine the business intelligence system features influencing perceived impact end users’ and of using business intelligence systems in Iraqi educational institutes. A technology acceptance model and technology organization environment framework were syntheses as a basis to develop a research model for business intelligence users' perceived impact and adopt of business intelligence systems named (SMUPI-BIS). Later, an online instrument (questionnaire) was designed to gather data from the business intelligence system users in five Iraqi universities. Twenty-one hypotheses were proposed and later tested. Then, for data analysis, the authors used several methods such as hierarchical regression, one-way ANOVA, descriptive statistics as well as structural equation modeling (SEM). The main outcomes of this study suggest that decision support, information quality, and real-time reporting are the most significant system characteristics influencing end users' perceived impact and their usage of business intelligence systems.

scholarly journals The Effects of Business Intelligence on the Effectiveness of the Organization (Case Study: Airline Companies in Iran)

2017 ◽  
Vol 9 (3) ◽  
pp. 176
Author(s):  
Hamid Reza Rezaei Kelidbari ◽  
Mahsa Rayat
Keyword(s):  
Organizational Culture ◽  
Business Intelligence ◽  
Airline Industry ◽  
Structural Equation ◽  
Information Technologies ◽  
Organizational Variables ◽  
Intelligence System ◽  
Mediating Role ◽  
Business Intelligence Systems

Given the increasing competition between airlines companies in the country and equipping them with modern information technologies, establishment of knowledge management system in airline industry can increase the effectiveness of business intelligence system and lead to effectiveness of this industry. The aim of this study was to identify the effects of strategy, structure, processes and organizational culture on the effectiveness of organization and mediating role of business intelligence systems in Iran’s airline companies. Statistical society includes all airlines of Iran. For sampling, non-random judgmental sampling method is used. In order to study the research hypotheses, structural equation methods have been used. Questionnaire tools were used for gathering the data. Stability of the questionnaires used in the present study was calculated higher than 0.7 in term of Cronbach alpha, confirming the validity. The results showed that there is a positive and significant effect between variables of strategy, structure, and organizational culture on the effectiveness of the organization and business intelligence systems in Iran’s airlines and that there is not a significant relationship between organizational variables and organizational effectiveness.

Analyzing Business Intelligence Systems Based on 7s Model of McKinsey

2018 ◽  
Vol 9 (1) ◽  
pp. 53-63 ◽  
Author(s):  
Amin A. Shaqrah
Keyword(s):  
Business Intelligence ◽  
Qualitative Methodology ◽  
Delphi Survey ◽  
Manufacturing Industries ◽  
Pharmaceutical Manufacturing ◽  
Survey Method ◽  
Shared Value ◽  
Intelligence System ◽  
Proposed Model ◽  
Business Intelligence Systems

Business intelligence system (BIS) reflect on the foundation of completive advantage approaches, this article enhances previous articles of BIS implementation by analyzing a 7 McKinsey model. Using a Delphi survey method with sixty of managers and experts in the BIS field, the results from twenty pharmaceutical manufacturing industries deploying business intelligence applications are presented. The author surveyed a qualitative methodology to hypothesize a proposed model. The findings demonstrated that 80% of participants believe that both the hard and soft 7 dimensions of a McKinsey model—strategy, style, structure, staff, systems, skills, and shared values—are antecedents for successful BIS implementation. Precisely, shared value dimensions is the highest value affected by BIS implementation and skills dimension is the lowest value.

Data Profiling and Data Quality Metric Measurement as a Proactive Input into the Operation of Business Intelligence Systems

2014 ◽  
pp. 253-270
Author(s):  
Scott Delaney
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Intelligence ◽  
Intelligence System ◽  
Use Of Data ◽  
Data Profiling ◽  
Business Intelligence Systems ◽  
Profiling Techniques ◽  
System Data ◽  
Taking Action

Business intelligence systems have reached business critical status within many companies. It is not uncommon for such systems to be central to the decision-making effectiveness of these enterprises. However, the processes used to load data into these systems often do not exhibit a level of robustness in line with their criticality to the organisation. The processes of loading business intelligence systems with data are subject to compromised execution, delays, or failures as a result of changes in the source system data. These ETL processes are not designed to recognise nor deal with such shifts in data shape. This chapter proposes the use of data profiling techniques as a means of early discovery of issues and changes within the source system data and examines how this knowledge can be applied to guard against reductions in the decision making capability and effectiveness of an organisation caused by interruptions to business intelligence system availability or compromised data quality. It does so by examining issues such as where profiling can be best be applied to get appropriate benefit and value, the techniques of establishing profiling, and the types of actions that may be taken once the results of profiling are available. The chapter describes components able to be drawn together to provide a system of control that can be applied around a business intelligence system to enhance the quality of organisational decision making through monitoring the characteristics of arriving data and taking action when values are materially different than those expected.

scholarly journals Examining the effect of user satisfaction and business intelligence system usage on individual job performance

2021 ◽  
Vol 26 (2) ◽  
pp. 43-62
Author(s):  
Amra Kapo ◽  
Lejla Turulja ◽  
Tarik Zaimović ◽  
Senka Mehić
Keyword(s):  
Business Intelligence ◽  
User Satisfaction ◽  
Individual Performance ◽  
Intention To Use ◽  
System Usage ◽  
Intelligence System ◽  
Key Stakeholders ◽  
Business Intelligence Systems ◽  
The Many

Business intelligence systems are in widespread use today due to the many business benefits. Users are one of the key stakeholders in the business intelligence process. For optimal system adaptation, the user should be able to interact with the application in order to improve its capacity to contribute to decision-making. For the business intelligence process itself to be effective, it is necessary to define the user needs regardless of the type of work they do. If the user is satisfied and thinks that the system improves his/her performance or the quality of decisions made, they will want to use it even more. System usage has sometimes been viewed as a direct reflection of system performance; however, this is difficult to define in organizations where system usage is mandatory. Business intelligence systems are especially mandatory to use, as they are used in large organizations and require greater investment than other systems. This is why it is important to investigate the nature of system usage and its impact on individual performance. This research model deals with determinants that represent dimensions of the information system's success theory. Those determinants are: user satisfaction, intention to use, system usage, and individual performance. Obtained results show that increased user satisfaction and intention to use, lead to increased system usage and that both the increase in user satisfaction and system usage lead to a rise in individual user performance.

Business Intelligence System Design and its Consequences for Knowledge Sharing, Collaboration, and Decision-Making

2015 ◽  
Vol 11 (4) ◽  
pp. 1-25 ◽  
Author(s):  
Lapo Mola ◽  
Cecilia Rossignoli ◽  
Andrea Carugati ◽  
Antonio Giangreco
Keyword(s):  
Decision Making ◽  
Knowledge Sharing ◽  
Business Intelligence ◽  
Two Phase ◽  
Intelligence System ◽  
Business Intelligence Systems ◽  
Managerial Implications ◽  
Decision Making Processes

This exploratory study analyses the effects of the technical and organisational characteristics of business intelligence systems (BIS) on knowledge sharing, collaboration, and decision-making processes. The authors conducted a two-phase multi-method investigation. First, we surveyed 30 enterprises using BIS on a regular basis; then, we engaged in an in-depth case study with one of the respondent companies. Our results show that, on average, the technical and organisational characteristics of the BIS are positively associated with an increase in knowledge sharing, leading to an improvement in internal collaboration that subsequently brings improvement in the quality of decision-making. This case study adds that the way the BIS is designed and appropriated in organisations is important in obtaining such results is. A BIS being designed so that it can be appropriated by the general employee base is key in obtaining the desired organizational impacts. This suggests some requirements for BIS design that we will discuss in terms of theoretical and managerial implications.

scholarly journals Determinants of business intelligence system acceptance in an emerging country

2018 ◽  
Vol 7 (4) ◽  
pp. 42-50
Author(s):  
Kgoramele Joseph Oupa Kgasago ◽  
Osden Jokonya
Keyword(s):  
South African ◽  
Business Intelligence ◽  
Research Strategy ◽  
Study Objective ◽  
Intelligence System ◽  
Body Of Knowledge ◽  
Business Intelligence Systems ◽  
Emerging Country ◽  
The Difference ◽  
System Acceptance

In today’s highly competitive and cumulative uncertainty in the business domain, access to organizations’ business intelligence (BI) can mean not only the difference between profit and loss but also the difference between survival and bankruptcy. The use of Business intelligence systems has become an inevitable requirement for profitability, competitiveness and organisational survival. This study objective is to determine factors that influence users’ acceptance of BI systems in the South African energy sector and develop a conceptual model to explain factors that influence users’ acceptance of BI systems. A survey research strategy was used for the study to empirically test a conceptualised model using collected data. The results of the study found that habit, affect and perceived consequences have a significant influence on users’ acceptance of BI systems. Furthermore, the study discovered that habit influences affect in respect of users’ acceptance of BI systems. The study contributed to literature and body of knowledge on factors that influence users’ acceptance of BI systems in organisations.

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