scholarly journals Barriers of using Business Intelligence in enterprises

2019 ◽  
Vol 51 (2) ◽  
pp. 71-80
Author(s):  
Kamil Soszka
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Business Management ◽  
Decision Making Processes ◽  
Purpose Of Business ◽  
The Right ◽  
Support Decision Making ◽  
The Way

The purpose of Business Intelligence (BI) systems is to support decision-making processes, which is to improve business management. Achieving this goal boils down to obtaining the right information, which is used by the right people and in the right way. The said process is related to the method of using BI and the elements that affect it. However, on the way to a certain level of efficiency when it comes to the use of BI, there are obstacles that inhibit or prevent its achievement. The aim of the work is to identify barriers that reduce the effectiveness of BI use in enterprises.

Analysis of Business Intelligence Solutions in the SME Sectors

2015 ◽  
Vol 795 ◽  
pp. 123-128
Author(s):  
Leszek Kiełtyka ◽  
Klaudia Smoląg
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Complex Analysis ◽  
Small And Medium Enterprises ◽  
Decision Makers ◽  
Current Events ◽  
Decision Making Processes ◽  
Barriers To Implementation ◽  
Medium Enterprises ◽  
Support Decision Making

Business intelligence (BI) solutions are aimed to help managers make decisions in enterprises. Through complex analysis, decision-makers are supported in building strategies of operation. Managers in small and medium-sized enterprises (SME) are also becoming more aware of the fact that conventional methodology of analysis of current events is insufficient. Therefore, the need arises for using the solutions that support the processes of data analysis, finding relationships between each other or pointing to important tendencies and anomalies. These systems were primarily oriented at larger enterprises. However, BI solutions are more and more often adjusted to SME enterprises, offering a complex tool to support decision-making processes. This paper presents key stages in evolution of BI systems and characterizes selected BI systems dedicated to small and medium enterprises (SMEs). Substantial barriers to implementation of BI systems in SMEs were also indicated.

A Study on the Analytics Tool Used in Decision Making at Small and Medium Enterprise

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Vivek N. Bhatt
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Small And Medium Enterprises ◽  
Small Scale ◽  
Know How ◽  
Decision Making Styles ◽  
Routine Basis ◽  
Medium Enterprise ◽  
Decision Making Processes ◽  
Medium Enterprises

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.

scholarly journals Corruption and Combating Corruption: A Framework for Peace, Human Rights and Sustainable Development in Post-Independent Africa

2018 ◽  
Vol 9 (5) ◽  
pp. 9-17
Author(s):  
Eric Che Muma
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Economic Development ◽  
Human Rights ◽  
Sustainable Peace ◽  
The World ◽  
Decision Making Processes ◽  
Global Peace ◽  
The Way

Abstract Since the introduction of democratic reforms in post-independent Africa, most states have been battling corruption to guarantee sustainable peace, human rights and development. Because of the devastating effects of corruption on the realisation of peace, human rights and sustainable development, the world at large and Africa in particular, has strived to fight against corruption with several states adopting national anti-corruption legislation and specialised bodies. Despite international and national efforts to combat corruption, the practice still remains visible in most African states without any effective accountability or transparency in decision-making processes by the various institutions charged with corruption issues. This has further hindered global peace, the effective enjoyment of human rights and sustainable development in the continent. This paper aims to examine the concept of corruption and combating corruption and its impact on peace, human rights and sustainable development in post-independent Africa with a particular focus on Cameroon. It reveals that despite international and national efforts, corruption still remains an obstacle to global peace in Africa requiring a more proactive means among states to achieve economic development. The paper takes into consideration specific socio-economic challenges posed by corruption and the way forward for a united Africa to combat corruption to pull the continent out of poverty, hunger and instability, and to transform it into a better continent for peace, human rights and sustainable development.

Data Warehouse Performance

2011 ◽  
pp. 580-585 ◽  
Author(s):  
Beixin ("Betsy") Lin ◽  
Yu Hong ◽  
Zu-Hsu Lee
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Performance Tuning ◽  
Data Warehouses ◽  
User Query ◽  
Data Volume ◽  
Predictive Data Mining ◽  
Support Decision Making ◽  
Over Time

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 et al., 2001). 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). Dramatic increases in data volumes over time and the mixed quality of data can adversely affect the performance of a data warehouse. Some data may become outdated over time and can be mixed with data that are still valid for decision making. In addition, data are often collected to meet potential requirements, but may never be used. Data warehouses also contain external data (e.g. demographic, psychographic, etc.) to support a variety of predictive data mining activities. All these factors contribute to the massive growth of data volume. As a result, even a simple query may become burdensome to process and cause overflowing system indices (Inmon et al., 1998). Thus, exploring the techniques of performance tuning becomes an important subject in data warehouse management.

Activity-Based Methodology for Development and Analysis of Integrated DoD Architectures

2007 ◽  
pp. 85-113 ◽  
Author(s):  
S. Ring
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Process Models ◽  
Fully Integrated ◽  
The Core ◽  
Analysis Strategies ◽  
Decision Making Processes ◽  
Integrated Architecture ◽  
Architecture Development ◽  
Support Decision Making

This chapter describes the activity-based methodology (ABM), an efficient and effective approach to-ward development and analysis of DoD integrated architectures that will enable them to align with and fully support decision-making processes and mission outcomes. ABM consists of a tool-independent disciplined approach to developing fully integrated, unambiguous, and consistent DODAF Operational, System, and Technical views in supporting both “as-is” architectures (where all current elements are known) and “to-be” architectures (where not all future elements are known). ABM enables architects to concentrate on the Art and Science of architectures—that is identifying core architecture elements, their views, how they are related together, and the resulting analysis used for decision-making purposes. ABM delivers significant architecture development productivity and quality gains by generating several DoDAF products and their elements from the core architecture elements. ABM facilitates the transition from integrated “static” architectures to executable “dynamic” process models for time-dependent assessments of complex operations and resource usage. Workflow steps for creating integrated architecture are detailed. Numerous architecture analysis strategies are presented that show the value of integrated architectures to decision makers and mission outcomes.

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.

Human Factors in Automated Analysis for Enterprise Models

2020 ◽  
pp. 186-204
Author(s):  
Hector Florez
Keyword(s):  
Decision Making ◽  
Automated Analysis ◽  
Modeling Language ◽  
Modeling Tools ◽  
Current State ◽  
Analysis Methods ◽  
Enterprise Models ◽  
Specific Calculations ◽  
Decision Making Processes ◽  
Support Decision Making

Enterprise models are created for communicating and documenting the current state of the enterprise. However, these models can also be used for supporting analysis processes and are fundamental assets in project management. But, analysis is a process made by humans, and due to enterprise models that are complex and have a large amount of elements, analysis is usually a tough process. Then modeling tools might provide support for analysis. It is possible to offer this support through the use of automated analysis methods, which are algorithms for providing specific calculations based on the elements included in the model. The results of said automated analysis methods support decision-making processes. It is also possible to execute a sequence of analysis methods by the configuration of analysis chains. This chapter presents a proposal and strategy for analyzing enterprise models by the execution of automated analysis methods and automated analysis chains. This strategy is presented using enterprise models that conform to ArchiMate as modeling language.

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