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.

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.

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.

Benchmarking knowledge management practices in small and medium enterprises

2017 ◽  
Vol 24 (5) ◽  
pp. 1215-1233 ◽  
Author(s):  
Santoso Wibowo ◽  
Srimannarayana Grandhi
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Small And Medium Enterprises ◽  
Evaluation Criteria ◽  
Evaluation Process ◽  
Decision Makers ◽  
Content Type ◽  
Multicriteria Group Decision Making ◽  
Medium Enterprises

Purpose The purpose of this paper is to formulate the process of measuring and benchmarking the performance of knowledge management (KM) practices as a multicriteria group decision-making problem and present a new multicriteria group decision-making approach for effectively evaluating the performance of KM practices to meet the interests of various stakeholders in small and medium enterprises (SMEs). Design/methodology/approach A new multicriteria group decision-making approach is developed for evaluating the performance of KM practices of individual SMEs. Intuitionistic fuzzy numbers are used for representing the subjective assessments of decision makers in evaluating the relative importance of the evaluation criteria and the performance of individual KM practices with respect to specific evaluation criteria. A fuzzy multicriteria group decision-making algorithm is developed for measuring and benchmarking the performance of alternative KM practices. Findings The proposed multicriteria group decision-making approach is capable of effectively evaluating the performance of KM practices through adequately considering the presence of multiple decision makers, the multi-dimensional nature of the evaluation problem, and appropriately modeling the subjectiveness and imprecision of the evaluation process. The presentation of an example shows that the proposed fuzzy multicriteria group decision-making algorithm is simple to use and efficient in computation. Research limitations/implications The outcome of the multicriteria group decision-making approach is highly dependent on the inputs provided by the decision maker. Practical implications The novelty from this research lies in the utilization of a multicriteria group decision-making approach for evaluating the performance of KM practices in an organization. The outcome from the performance evaluation process allows the enterprise to adopt appropriate KM practices for achieving competitive advantages. Social implications The proposed multicriteria group decision-making approach has a significant social implication as it can be used as a decision-making tool for providing various decision makers in SMEs with useful and strategic information concerning the performance of KM practices in a given situation. Originality/value The originality of this paper lies in the development of the multicriteria group decision-making approach for effectively measuring and benchmarking the performance of KM practices of individual SMEs.

scholarly journals Conceptualising a Cloud Business Intelligence Security Evaluation Framework for Small and Medium Enterprises in Small Towns of the Limpopo Province, South Africa

Information ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 128
Author(s):  
Moses Moyo ◽  
Marianne Loock
Keyword(s):  
Business Intelligence ◽  
Small And Medium Enterprises ◽  
Small Towns ◽  
Evaluation Framework ◽  
Limpopo Province ◽  
Decision Makers ◽  
Future Research ◽  
Security Evaluation ◽  
Online Questionnaire ◽  
Medium Enterprises

The purpose of this study was to investigate security evaluation practices among small and medium enterprises (SMEs) in small South African towns when adopting cloud business intelligence (Cloud BI). The study employed a quantitative design in which 57 SMEs from the Limpopo Province were surveyed using an online questionnaire. The study found that: (1) the level of cybersecurity threats awareness among decision-makers was high; (2) decision-makers preferred simple checklists and guidelines over conventional security policies, standards, and frameworks; and (3) decision-makers considered financial risks, data and application security, and cloud service provider reliability as the main aspects to consider when evaluating Cloud BI applications. The study conceptualised a five-component security framework for evaluating Cloud BI applications, integrating key aspects of conventional security frameworks and methodologies. The framework was validated for relevance by IT specialists and acceptance by SME owners. The Spearman correlational test for relevance and acceptance of the proposed framework was found to be highly significant at p < 0.05. The study concluded that SMEs require user-friendly frameworks for evaluating Cloud BI applications. The major contribution of this study is the security evaluation framework conceptualised from the best practices of existing security standards and frameworks for use by decision-makers from small towns in Limpopo. The study recommends that future research consider end-user needs when customising or proposing new solutions for SMEs in small towns.

scholarly journals Identifying the main factors involved in business intelligence implementation in SMEs

2020 ◽  
Vol 9 (1) ◽  
pp. 304-310
Author(s):  
Juan Alexis Becerra-Godinez ◽  
José Leonardo Serralde-Coloapa ◽  
Martin Salvador Ulloa-Marquez ◽  
Abraham Gordillo-Mejia ◽  
Elizabeth Acosta-Gonzaga
Keyword(s):  
Business Intelligence ◽  
Small And Medium Enterprises ◽  
Critical Element ◽  
Scientific Databases ◽  
Information And Communication ◽  
Ict Tools ◽  
Main Factors ◽  
Medium Enterprises ◽  
Managerial Level ◽  
Support Decision Making

In recent years, the use of information and communication technology (ICT) tools has been recognized as a critical element for the development of enterprises; being mainly exploited by large companies. However, small and medium enterprises (SMEs) have yet opportunities to take advantage of them; this is the case of the implementation and usage of business intelligence (BI), which is a term that encompasses applications, tools, and methodologies that support decision-making process at a managerial level. Nevertheless, so far there is not a clear approach for its adoption in SMEs, for this reason, this work aims to identify the main factors involved in Business Intelligence implementation in SMEs through a literature review. Information for the analysis was gathered from scientific databases. The results showed main factors that influence the adoption of BI technologies in SMEs as well as recommendations given by several authors to ensure success in the process.

scholarly journals The strategist thought: granted factors in the strategic decision making of the small and medium enterprises

2009 ◽  
Vol 8 (2) ◽  
pp. 80-106
Author(s):  
Werner Duarte Dalla ◽  
Carlos Alberto Gonçalves ◽  
Reynaldo Maia Muniz
Keyword(s):  
Decision Making ◽  
Organizational Behavior ◽  
Organizational Performance ◽  
Small And Medium Enterprises ◽  
Decision Makers ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Internal Factors ◽  
Intangible Resources ◽  
Medium Enterprises

The organizational behavior is linked to the strategic decision-making, carried through its main decision-makers, called “strategists”. This behavior, in organizational daily actions or planning, shifts its performance to consider market and tangible and intangible resources. The present study aimed to contribute in the understanding of how these actors formulate their strategies, build their heuristics, to manage their firms to improve organizational performance. The RepGrid - Repertory Grid (Kelly, 1955) was chosen as the method, which was undertaken with the Small and Medium Enterprises (SMEs) owners of the footwear area of a relevant cluster production of Nova Serrana-MG - Brazil. The results appointed agent factors of attention, which centralize the decision in the managers or owners, base on financial results, asses actual internal factors so that external sales, and lead to a emergent and less formalized process. 

scholarly journals BUSINESS DIGITALIZATION OF SMEs IN ALBANIA

2020 ◽  
Author(s):  
AISDL
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Intelligence ◽  
Small And Medium Enterprises ◽  
Knowledge Based ◽  
Unpredictable Environments ◽  
Knowledge Based Economy ◽  
Improved Performance ◽  
Medium Enterprises

Small and medium enterprises (SMEs) in Albania, similar to other markets, operate in complex, fast-paced and unpredictable environments due to their size and nature. In our contemporary knowledge-based economy, business is constantly changing, and SMEs are thus continually faced with the challenge to find new and innovative ways to improve and adapt to the rapid transformations. As a result, there is a growing interest and necessity for SMEs to explore and adapt new and innovative mechanisms for better decision making, which will then lead to improved performance and competitiveness. Digitalization of SMEs with the use of Business Intelligence (BI) and Knowledge Management (KM) systems is one such innovative instrument open to SMEs for a better performance and increased competitiveness.

Framing Information Technology Governance in the Public Sector: Opportunities and Challenges

2015 ◽  
Vol 11 (4) ◽  
pp. 89-101 ◽  
Author(s):  
Khalifa Al-Farsi ◽  
Ramzi EL Haddadeh
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Public Sector ◽  
It Governance ◽  
Decision Makers ◽  
The Public ◽  
Technology Governance ◽  
Support Organizations ◽  
Information Technology Governance ◽  
Decision Making Processes

Information technology governance is considered one of the innovative practices that can provide support for decision-makers. Interestingly, it has become increasingly a de facto for organizations in seeking to optimise their performance. In principle, information technology governance has emerged to support organizations in the integration of information technology (IT) infrastructures and the delivery of high-quality services. On the other hand, decision-making processes in public sector organisations can be multi-faceted and complex, and decision makers play an important role in implementing technology in the public sector. The aim of this paper is to shed some light on current opportunities and challenges that IT governance is experiencing in the context of public sector services. In this respect, this paper examines the factors influencing the decision-making process to fully appreciate IT governance. Furthermore, this study focuses on combining institutional and individual perspectives to explain how individuals can take decisions in response to institutional influences.

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