Importance Of Business Intelligence Research Articles

Mechanism design for data reliability improvement through network-based reasoning model

The importance of business intelligence is increasing every day and many corporations are using data analysis and its results in the decision-making process. Although collecting reliable data is a key prerequisite for the effectiveness of business intelligence, the existing research has focused on improving the reliability of data that is already collected. This research points out the limitations of previous research related to data reliability and presents a new theoretical model that can secure highly reliable data to enhance the business intelligence effect. We designed a mechanism that introduces the concept of the power of influence by using the network effect based reasoning model and applying the two-step flow theory of social exchange theory and information. More than 2 million pieces of real users’ preference data was collected and verified by applying them to a recommendation system. More specifically, I made them recognize what the influence of the users’ preference data input behavior on each individual would be. Also, the limitation on the user input data with the low existing reliability was overcome by applying the recommendation system based on the network effect, which weights the preference data of the users having high influence. As a result, we have shown that the data collection mechanisms based on influence are more efficient in terms of data collection and data analysis.

PELATIHAN DAN PENGEMBANGAN BUSINESS INTELLIGENCE DAN MANAJEMEN PENGELOLAAN USAHA BAGI WOMENPRENEUR FATAYAT JATIM

This community service activity has been held in East Java Fatayat Business Group within segmented target of Small Medium Enterprise (SME) business-woman which become one of economic support in Indonesia. These business-woman mostly consist of culinary business, followed by clothing re-seller and others. Community service activity aimed to give understanding to SME business-woman about the importance of business intelligence, funding management, packing and product label and human resources management as well to support the groeth of business in the future by considering and implementing business activity support factors. Implementation method consist of four stages, which are problem identification, daring training through zoom meeting, daring mentoring and monitoring evaluation process through whatsapp group. The expected outcomes after held this training is SME business-woman have ability and capacity to transform data into business opportunity, how SME can manage their finance efficiently, packing interesting product, and SME can empowering human resources effectively thus with this activity, business-woman from East Java Fatayat Business Group can upgrade their business activity becomes sustainable activity to support Indonesia economy.

BUSINESS INTELLIGENCE AS A TOOL FOR SUPPORTING DECISION-MAKING IN THE RESTAURANT INDUSTRY

The article considers the concept of «business analytics» in the context of modern tools of the decision-making system of food services, noting the importance of such at the present stage of development of the restaurant industry in the general context of changes in the technological infrastructure of restaurants and catering, and during the coronavirus crisis; have been identified areas of application of business intelligence in improving the efficiency of business processes, strategic management of the restaurant industry and ensuring sustainable competitive advantage in the era of digital transformation. The subject of research – economic and managerial relations that arise in the restaurant industry in the process of implementing business intelligence solutions. The methodology was based on general scientific and special research methods. The importance of business intelligence has been a solution in providing business opportunities in terms of real-time information («real-time information flows») in accordance with modern socio-economic challenges and the permanent complexity of the technological infrastructure of restaurants and the Internet space. It was found that better awareness of consumer and customer inquiries, desires and preferences, as well as knowledge of the potential of partners and contractors, can improve corporate business processes by implementing the latest design and services using the capabilities of business intelligence. Analyzed and determined that strategic solutions developed using business analytics and data analysis transform the restaurant industry, providing managers with valuable solutions to optimize customer service, measures to increase customer engagement and improve menu performance. The business intelligence in the modern restaurant business has been determined the key given the high competition in this area, rapid changes in consumer behavior and customer expectations from restaurants. Further developments on this topical issue will be implemented, in particular, primarily in the preparation of new concepts of restaurants and reformatting the business processes in the recovery of the restaurant industry after the coronavirus crisis.

Dimensions influencing business intelligence and analytics maturity: a critical analysis

The importance of business intelligence and analytics (BI&A) as a capability in an organisation has grown over the years. In order to assess the state of BI&A, managers today need to identify the critical dimensions which influence the maturity of BI&A capability. A wide range of maturity models (MMs) have been developed, for the purpose of assessment of BI&A capability maturity. Managers may find it difficult to select the appropriate MM to use especially with the changing characteristics of data over time and advent of big data. Each of these models has multiple dimensions which are not necessarily exhaustive and distinct. This study consolidates the large number of dimensions found across 29 BI&A MMs in extant literature. With help of an expert panel, a set of six distinct and critical dimensions needed for assessing BI&A capability in organisations have been identified. Qualitative research tool NVIVO is used for analysis of the research articles.

Dimensions influencing Business Intelligence & Analytics Maturity: a critical analysis

The importance of business intelligence and analytics (BI&A) as a capability in an organisation has grown over the years. In order to assess the state of BI&A, managers today need to identify the critical dimensions which influence the maturity of BI&A capability. A wide range of maturity models (MMs) have been developed, for the purpose of assessment of BI&A capability maturity. Managers may find it difficult to select the appropriate MM to use especially with the changing characteristics of data over time and advent of big data. Each of these models has multiple dimensions which are not necessarily exhaustive and distinct. This study consolidates the large number of dimensions found across 29 BI&A MMs in extant literature. With help of an expert panel, a set of six distinct and critical dimensions needed for assessing BI&A capability in organisations have been identified. Qualitative research tool NVIVO is used for analysis of the research articles.

A conceptual framework for business intelligence critical success factors

From theoretical and practical viewpoints, business intelligence application is considered by scholars and managers in their organisations. Most organisations are seeking to develop their capabilities and to gain a sustainable competitive advantage through business intelligence. Previous studies are mostly descriptive and they have emphasised the importance of business intelligence. This study aims to provide a conceptual framework for the assessment of business intelligence critical success factors in the organisations. The study was a pure research, which was conducted based on scientific research method and a five-year application of business intelligence in different organisations. The scale validity was approved using confirmatory factor analysis. The statistical data was also collected from 78 large and medium-sized companies. In this study, consistent with scientific research method principles, an operational scale is presented for the implementation of business intelligence. The results indicate that a suitable software and hardware platform is one of the most significant technical infrastructures for business intelligence implementation.

The Fundamentals of Business Intelligence

This article analyzes the recent literature in the search for the fundamentals of business intelligence (BI). The literature review covers the overview of BI; BI and technology acceptance model (TAM); BI, Big Data, and social media; the elements of BI; the characteristics of BI; enterprise information system (EIS) and cloud computing; the importance of BI; and the implementation of BI. BI involves creating any type of data visualization that provides insight into a business for the purpose of making a decision or taking an action.BI can assist organizations by facilitating better decisions in all facets of operations. The ideal BI system gives the organizations easy access to the information and the ability to analyze and share this information with other business enterprises. The findings present valuable insights and further understanding of the way in which BI perspectives should be emphasized.

Integration of Business Intelligence and Knowledge Management – A literature review

In today’s world data are so numerous that technology is needed to cope with this knowledge. Business Intelligence (BI) is a process that involves sorting all the collected information and select those that are relevant. BI provides critical insights that help organizations make right decisions. Knowledge management (KM) is a key approach to solving current problems. KM can be defined as a systematic process of finding, selecting, organizing, distilling and presenting information in a way that improves an employee's comprehension in a specific area of interest. BI and KM play an important role in improving the qualitative and quantitative value of information available for decision making. KM and BI can also benefit from each other. It seems that integration of BI and KM can help organizations achieve wider benefits. Integration of BI and KM will not only help to promote and enhance knowledge for better decision making, but also improve an organization’s performance. Therefore it is imperative for organizations to have both BI and KM as an integrated system to get full value from both. This paper is a literature review which shows the importance of BI and KM Integration through a series of models.

Cloud Business Intelligence Survey

are always seeking to become more intelligent and achieve a greater competitive advantage by using Business Intelligence (BI) solutions. The new phenomenon of business intelligence is how businesses handle data. One of the instruments that can make the BI tools more accessible is Cloud Computing. This paper outlines some important definitions of Cloud Computing and Business Intelligence, the importance of business intelligence and some problems in traditional business intelligence solutions. Also, the benefits and challenges of Cloud Business Intelligence is discussed with a comparison between public and private cloud and how to choose the appropriate Cloud Business Intelligence for an organization.

Business intelligence and the role of external information in small- and medium-sized enterprises of the Finnish marine industry

The availability of external data sources and information for firms has expanded in recent decades. At the same time, the importance of business intelligence (BI) in the competition between firms has been increasingly highlighted. This competition poses challenges, however, especially for small- and medium-sized enterprises (SMEs). The purpose of this paper is to delineate a general picture of the conditions of the role of external information in BI as it applies to SMEs in the Finnish marine industry. According to the results, the use of external information in BI was generally occasional and unsystematic. This was due to time and resource limitations to be allocated for BI. However, the interest in developing BI processes is evident. Thus, this study puts forward development proposals that promise to help SMEs enhance and rationalise their BI processes, according to the development targets that they have identified.

The application of a Business Intelligence tool for strategic planning in a higher education institution: a case study of the University of the Witwatersrand

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

A Knowledge Management Approach: Business Intelligence in an Intranet Data Warehouse

For contemporary businesses to stay viable, business intelligence is mission critical. Although the importance of business intelligence is recognised, there is limited research on what information contributes to business intelligence and how business intelligence is sought for use in an organisational intranet. This research discusses how business intelligence is sought, captured and used having tapped into an intranet data warehouse as a knowledge management approach. It adopts qualitative case study method using interviews and observation techniques. A case study was conducted to examine how an Intranet system was designed, how business intelligence was captured, and how it aided strategic planning and decision making in business operation. The respondents explained how structured business intelligence data was categorised and disseminated to users and how the used information empowered staff in their work performance. The intranet design successfully retains staff knowledge within the organisation. It was also successful in drawing all internal resources together, capturing resources from external sources, and forming a common repository of organisational assets for use through organisational work procedures within the intranet.