Concept Of Business Intelligence Research Articles

РОЛЬ БИЗНЕС-АНАЛИТИКА В РАБОТЕ ОРГАНИЗАЦИИ

The article describes the concepts of business intelligence and business analysis, provides examples of business analyst’s main goals and most widely used business analytics tools. Key words: business analysis, business analytics, business analyst, business processes, optimization.

Business intelligence in academic libraries in Jordan: Opportunities and challenges

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.

About Territorial Intelligence and Geographic Knowledge Bases

As business intelligence is for companies, territorial intelligence is for local authorities. However, it is not the simple exportation of business intelligence concepts and tools, but overall a new discipline characterized by the amalgamation of collective human intelligence and computer intelligence. As a result, geographic knowledge bases, rules and inference engines are not only based on logic but also on topology, geometry and linguistics, and must take multiple actors’ points of view into account. The scope of this paper will be to present the concepts necessary to construct such systems, i.e. to pass from intelligence to geographic knowledge engineering.

The Role of Business Intelligence in Administrative Development at King Abdulaziz University

this study aimed at clarifying the concept of business intelligence and what is meant by administrative development, and to know the role of business intelligence in administrative development at King Abdulaziz University. Also, to explain the relationship between them, the extent of its application in the university, and providing solutions and proposals that contribute to that. The study adopted the descriptive approach and data was collected by reviewing the existing intellectual production in the field of study. Preparing a questionnaire as a tool and distributing it electronically, (46) who entered the study (administrative leaderships at King Abdulaziz University) responded to it. The most important result of this study is the existence of an interrelated relationship between business intelligence and administrative development. The perceptions of the study sample came to the extent of applying business intelligence in administrative development in an average way. Also, there is a great importance for training in business intelligence practices in administrative Development processes. This study recommends supporting and adopting senior management and making more effort to apply business intelligence in accomplishing administrative operations. As well as giving high importance to training on business intelligence and sending informational and awareness messages to leaders at the university. And the need to seek to keep abreast of developments of business intelligence techniques to carry out and update. Further experimental studies reflecting business intelligence applications in local organizations recommend this, to find out the level and constraints of applying business intelligence.

Business Intelligence for Human Capital Management

This article presents the results of an exploratory study of the use of business intelligence (BI) tools to help to make decisions about human resources management in Portuguese organizations. The purpose of this article is to analyze the effective use of BI tools in integrating reports, analytics, dashboards, and metrics, which impacts on the decision making the process of human resource managers. The methodology approach was quantitative based on the results of a survey to 43 human resource managers and technicians. The data analysis technique was correlation coefficient and regression analysis performed by IBM SPSS software. It was also applied qualitative analysis based on a focus group to identify the impacts of business intelligence on the human resources strategies of Portuguese companies. The findings of this study are that: business intelligence is positively associated with HRM decision-making, and business intelligence will significantly predict HRM decision making. The research also examines the process of the information gathered with BI tools from the human resources information system on the decisions of the human resources managers and that impacts the performance of the organizations. The study also gives indications about the practices and gaps, both in terms of human resources management and in processes related to business intelligence (BI) tools. It points out the different factors that must work together to facilitate effective decision-making. The article is structured as follows: a literature review concerning the use of the business intelligence concept and tools and the link between BI and human resources management, methodology, and the main findings and conclusions.

The Role of Business Intelligence in Crises Management: A Field Study on the Telecommunication Companies in Jordan

The field of business intelligence and crisis management currently became have become important issues that organization should be concerned about. The aims of the research is to identify the concepts of business intelligence (BI) and crisis management and review the importance of business intelligence in business organizations through the following independent variables (data source - data stores - specialized data - analytical processing- Data and data mining) and its impact on the crisis management stages ( pre-crisis phase, during the crisis phase and post-crisis phase) in the Jordanian telecommunications companies. The study population consisted of employees of the Jordanian telecommunications companies. A simple random sample was selected, to whom (130) questionnaires were distributed and 120 questionnaires were retrieved. The study relied on the descriptive analytical approach (SPSS as statistical analysis). The research concluded that there is a positive significant impact between business intelligence and management crisis in the Jordanian business organizations. This indicates to the interest of these organizations in the tools of business intelligence, especially with regard to the analytical processing of data based on a secure and integrated system in the work environment to manage organization crises.

Analysis of business intelligence system design for student performance monitoring

The Informatics Engineering Study Program at the University of PGRI Madiun is one of the institutions that provide education services. The increasing number of students each year requires supervision and measurement of student performance in order to create an optimal process. The optimal process will produce output that is in accordance with BAN-PT standards related to student performance. Looking at these problems, it is necessary to have an information system that can present student performance data for the purposes of accreditation and evaluation of student performance. The purpose of this research is to analyze and design student performance monitoring information systems by applying the Business Intelligence concept. The systematics of this study refers to the Bussiness Intelligence Roadmap Method of Larissa T Moss and Shaku Atre. The results of this study are a design of data sources and system architecture that will be used in the system development process in the future.

Statistical Analysis in System Evaluation of ilearning Media With Mccall’s Quality Model

Evaluation of the system regarding user participation and satisfaction will affect the success of the system implementation, where user participation can improve information system performance. In practice of evaluation, there must be a survey through statistical analysis of the system so that in its application can be known system deficiencies and user satisfaction in using information system services. The application of the business intelligence concept in this iLearning class is very felt in the decision support process and it can be felt directly by students without any further guidance from educators. This research aims to determine the results of the evaluation of the system implementation that has been running in order to know the validity and reliability test. The method used in this research is the statistical analysis approach with McCall’s quality model. The data retrieval process by distributing questionnaires to the class which is used as a sampling of the total population of classes in SMK Al Fattah. This research aims to find out empirical data about the implementation of the iLearning Media system at the vocational high school level with the approach of McCall’s quality model.

Towards treasury 4.0/The evolving role of corporate treasury management for 2020

This paper highlights the importance of treasury management in a corporate world. Treasury management is a dynamic phenomenon, and treasurers need to update treasury activities accordingly. This paper aims to provide a future roadmap for treasury management. In the near future, the most important aspects of treasury management will be new financial regulations, developments in information technology, and global approaches toward whole business operations. In this regard, the concept of business intelligence has become a need of the highest importance for every CFO. Treasury management needs to put aside the traditional practice of setting financial targets for one year and think of medium-term treasury planning as a source of significant motivation. Treasury management is a dynamic profession that evolves continuously, seeks maximum effectiveness, and aims for the highest productivity and simplification of all treasury activities.

A business intelligence based solution to support academic affairs: case of Taibah University

Business intelligence (BI) is a set of technologies and strategies allowing analyzing data and providing information to help in the decision-making process. Today, BI is used in many sectors and shows marvelous results. In this paper, we are interested in supporting decision-making in higher education. BI concepts when integrated to the process of academic affairs can make significant improvement. The present paper aims at describing a BI solution to support academic affairs at Taibah University. Using BI, we can take advantages of a set of analytical tools that support decision-making for different types of users (students, faculty members, administrators and decision makers). The proposed BI solution consists essentially of three mains tasks: (1) collecting data from different sources using the three operations (Extract, Transform and Load), (2) proposing a multidimensional solution that describes the academic processes, and (3) visualizing results through a set of dashboards and reports. Experiments are made using the SQL Server Data Tools. Three steps are detailed which are: SQL Server Integration Services, SQL Server Analysis Services and SQL Server Reporting Services. The proposed solution provides many statistical and predictive indicators needed in academic tasks.

Business Intelligence Application For Campaign Magagement In The Retail Sector

Access to and retain information has become easier with the emergence of information technology. All of the processes of analyzing the data of the enterprises by using information technologies and making them more meaningful and useful are called business intelligence. It will be very useful for enterprises to benefit from business intelligence solutions in marketing, campaigning and decision-making processes. In this study, business intelligence concept and the required infrastructure for benefiting from business intelligence applications were examined. According to the investigation, a sample application for retail sector was developed as well as how the businesses will benefit from business intelligence applications and its contributions to the applied sectors were emphasized.

A Proposed Business Intelligent Framework for Recommender Systems

In this Internet age, recommender systems (RS) have become popular, offering new opportunities and challenges to the business world. With a continuous increase in global competition, e-businesses, information portals, social networks and more, websites are required to become more user-centric and rely on the presence and role of RS in assisting users in better decision making. However, with continuous changes in user interests and consumer behavior patterns that are influenced by easy access to vast information and social factors, raising the quality of recommendations has become a challenge for recommender systems. There is a pressing need for exploring hybrid models of the five main types of RS, namely collaborative, demographic, utility, content and knowledge based approaches along with advancements in Big Data (BD) to become more context-aware of the technology and social changes and to behave intelligently. There is a gap in literature with a research focus in this direction. This paper takes a step to address this by exploring a new paradigm of applying business intelligence (BI) concepts to RS for intelligently responding to user changes and business complexities. A BI based framework adopting a hybrid methodology for RS is proposed with a focus on enhancing the RS performance. Such a business intelligent recommender system (BIRS) can adopt On-line Analytical Processing (OLAP) tools and performance monitoring metrics using data mining techniques of BI to enhance its own learning, user profiling and predictive models for making a more useful set of personalised recommendations to its users. The application of the proposed framework to a B2C e-commerce case example is presented.

Implementation of Business Intelligence in Product Services a Banking (Case Study: PT Bank Sumsel Babel Baturaja Branch)

AbstractBusiness Intelligence (BI) is a collection of theories, methodologies, processes, architectures, and technologies that convert raw data into quality information for business purposes. BI can handle a large amount of information that can help in identifying problems and developing new opportunities. In designing and implementing Business Intelligence (BI) concept for monitoring banking product service using reference business intelligence roadmap approach. Business intelligence roadmap is one example of BI development that can be emulated because of its agile and adaptive nature and is intended to support the development of BI. By utilizing Business Intelligence application on transaction history of banking product data, it is hoped able to produce information that can support in giving recommendation and decision making appropriately. The data and information generated also become more accessible and easier to understand (user friendly).Keywords: business intelligence, business intelligence roadmap, OLAP, banking products

A Model of the Production of Representational Fidelity: Insights from the Business Intelligence Systems Context

In recent years, the concept of Business Intelligence (BI) has become increasingly popular in both academic and practitioner literatures. Many universities have been adopting BI systems to help the...

The impact of supply chain management on business intelligence

This conceptual paper investigates the impact of the supply chain on businessintelligence (BI) in private companies. The article focuses on these two subjects in order tobroadly understand the concept of business intelligence, supply chain and characteristicsimplement such as OLAP, data warehouse or data mining. It looks at the joint advantages ofthe business intelligence and supply chain concepts and revisits the traditional BI concept. Wefound that the supply chain includes many data samples collected from the first supplier to thelast customer, which have to be analysed by the company in order to be more efficient. Basedon these observations the authors argue for why it makes sense to see the BI function as anextension of supply chain management, but moreover they show how difficult it has become toseparate BI from other IT intensive processes in the organization.

Business intelligence and analytics: recent trends and benefits in retailing

Today retailers are focussing on solutions oriented capabilities which create value and convert information into knowledge. While Business Intelligence (BI) provides a way of amassing data to find information primarily through asking questions, reporting, and online analytical processes,business analytics takes advantage of statistical and quantitative data for explanatory and predictive modelling. Business intelligence and analytics have emerged as principal tools that guide decisions and strategies for disciplines like marketing, research and development, customer care, credit and inventory management. By using these tools, retailers are analysing data to improve in optimization and performance. Present study is an exploratory study with an aim to learn issues and challengesfaced by Indian retailers; BI concepts and tools and need for BI in retailing. The study identifies that BI plays a crucial role in insights about customer behaviour; thereby helping the retailers meet their ever-changing needs and desires. The recent trends observed in retailing are - spending more on technology, embracing high capacity computing tools and recruiting people who can combine business and analytics to learn more about customer insights. The study discusses various benefits resulting from implementation of BI and analytics in retailing.

PLANTATION INTELLIGENCE APPLIED OIL PALM OPERATIONS: UNLOCKING VALUE BY ANALYSING COMMERCIAL DATA

Plantation intelligence [PI] applies the concept of business intelligence, which is analysis of company data, to oil palm production. Plantations already have collected monthly data of block yield but do not use them to enhance financial performance. These data were analysed for a whole plantation to rank individual blocks according to their ability to respond to applied fertiliser. Blocks were classified according to their average fertiliser productivity (AFP), which was associated with the block's soil management group (SMG). AFP varied between years depending on rainfall and SMG. The ranking was used to guide fertiliser management by diverting fertiliser from unresponsive blocks to those that are more responsive. Although the inferences lack statistical validity they appear robust from a practical viewpoint. They are easy to evaluate in the field, since they require no upscaling from or interpretation of experimental data. They provide managers with a tool to evaluate the variable effect of fertiliser over the whole plantation in different years and to improve financial performance. Keywords: Plantation intelligence, fertiliser response, soil management group, financial performance.

Design of Business Intelligence in Learning Systems Using iLearning Media

In the era of modern learning, e-Learning system utilized the school as a media institution of learning that can control the effectiveness of student learning. Some of your existing online learning system is not yet able to support teaching and learning activities based on student (student oriented). This research aims to harness and develop a system that is running by adding the concept of Business Intelligence in order to measure interest and activity of students in learning system application wear online. The methods used in this research are with the method of OLAP by utilizing data mart and user needs analysis. Design of business intelligence using user interface components namely the dashboard so that the information displayed in real time and accurate. The next of this research will be known how much interest and the liveliness of the students in the following learning interactively and communicative.

Framework for a Hospitality Big Data Warehouse

In order to increase the hotel's competitiveness, to maximize its revenue, to meliorate its online reputation and improve customer relationship, the information about the hotel's business has to be managed by adequate information systems (IS). Those IS should be capable of returning knowledge from a necessarily large quantity of information, anticipating and influencing the consumer's behaviour. One way to manage the information is to develop a Big Data Warehouse (BDW), which includes information from internal sources (e.g., Data Warehouse) and external sources (e.g., competitive set and customers' opinions). This paper presents a framework for a Hospitality Big Data Warehouse (HBDW). The framework includes a (1) Web crawler that periodically accesses targeted websites to automatically extract information from them, and a (2) data model to organize and consolidate the collected data into a HBDW. Additionally, the usefulness of this HBDW to the development of the business analytical tools is discussed, keeping in mind the implementation of the business intelligence (BI) concepts.

Importance of Business Intelligence Solution on Decision-Making Process of Companies

Nowadays, many companies meet the needs of data from different data sources in different formats in order to in line with changing business needs. Data is managed and stored in different parts of the system. Business intelligence is the most effective solution that allows to see big picture by integrating all of the distributed data within a storage. Business intelligence has emerged as a natural result of the previous system designed to support the decision-making process. Over time, visual deficiencies discovered in decision support systems, difficulties of usages and mismatch between applications, is one of the major factors in the rise of business intelligence technology. Such solutions are up to date and integrated view of business performance it offers the greatest benefits to decision makers. By increasing centralization of data quality, control and scheduling capabilities have allowed us to take quick and right decisions in the evolving competitive environment. The concept of business intelligence is an important element of taking strategic decisions and implementation point in globalized world. This study has designed by Oracle business intelligence tool and results have been a key element of evaluation in decision making processes of the companies.