Business Intelligence Advancement Workshop 2005

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Business Intelligence Advancement Workshop 2005 – Open Access Policy Institutional Open Access Program Special Issues Guidelines Editorial Process Research and Publication Ethics Article Processing Charges Evidence of Awards

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Business Intelligence Advancement Workshop 2005

Presentation papers represent high-quality research with the potential to have a significant impact in the field. A Feature Paper should be an original Article that covers a range of methods or methods, provides a detailed outline of future research and describes the potential outcomes of this research.

Pdf) Business Intelligence Technology, Applications, And Trends

Papers are submitted after being invited or accepted by the scientific editors and must receive positive comments from the reviewers.

Editor’s Choice articles are based on the preferences of scientific journal editors from around the world. Editors select a small number of recently published articles in journals that they believe will be of most interest to readers, or relevant to the research field. Its purpose is to provide an overview of some of the most interesting publications in the various research sections of the journal.

By Treerak Kongthanasuwan Treerak Kongthanasuwan Scilit Google Scholar 1, Nakarin Sriwiboon Nakarin Sriwiboon Scilit Google Scholar 2, Banpot Horbanluekit Banpot Horbanluekit Scilit Google Scholar 3, Wasakorn Laersank Scilit and Tipaluck Krityakierne Tipaluck Krityakierne Scilit Preprints .org Google Scholar 4, 5, *

Received: 26 December 2022 / Revised: 7 February 2023 / Accepted: 9 February 2023 / Published: 13 February 2023

Okr: Objectives And Key Results

(This article is a Special Issue Information for Business and Management–Software Development for Data Processing and Management)

The automobile industry and auto parts industry are important sectors of the Thai economy. With technology changing rapidly, every organization must understand what needs to be improved, and adapt their processes to meet the needs of consumers. The purpose of this research is to develop a Business Intelligence system for a brake pad manufacturing company in Thailand. By analyzing the relationship between the market demand and the shares offered by the company through long-term analysis and marketing mix principles, we develop a method to change the marketing forecast. The system developed increases the efficiency of the case study company, being able to simplify the process of data preparation that requires employees to collect and summarize the data requested each time it is requested. A smart dashboard is designed to facilitate decision making, improve communication within the company, and ultimately make the team more efficient and effective.

The automobile and auto parts industries are very important to Thailand’s economy, being the largest automobile industry in ASEAN and the world’s 13th largest exporter of automobiles worldwide [1]. With today’s advancing technology and fierce business competition, organizations must adapt to survive by identifying customer needs and solving problems and making decisions quickly and effectively. Database design and management to support business decision making is a complex and challenging task. Several factors affect business decisions, for example, customers, products, cost, production, suppliers, materials, finished goods, employees, and other external factors that affect businesses. Database management and data analysis can be difficult for organizations with multiple operational activities and metrics [2]. In the digital age, the data collected is often unstructured and large, making data more difficult to manage when using data management techniques. The growing volume of unstructured, unstructured, and opaque data creates difficulties in data management and prevents the organization from managing and using information effectively [3].

Many organizations are currently faced with the challenge of analyzing and converting large, disparate, and complex data into the information or knowledge needed by the organization to support decision-making in business operations. In this research, we use the research of the brake pad industry in Thailand. The factors that affect the company’s decisions are divided into several groups, including customers, operating systems, sales, sales groups, car sales in Thailand, sales, and other external factors that affect business operations. Analyzing data related to corporate decision making involves modeling the relationships between each set of data. According to a report by the automotive parts industry [4], the demand for Replacement Equipment Manufacturer (REM) parts will continue to grow due to the increase in the global fleet. In addition, since replacement parts can be consumed, the age and mileage of vehicles directly affect the value of the parts. It revealed that the demand for REM shares affects the sales of products in this market.

Research Unit Software Engineering — Tu Wien Informatics

As for the sales report of the news research company, the variety of products and sales tend to increase every year, which makes for a large and complex data set. However, at present, the company does not have an effective data collection system, which results in data being stored in different locations or data abstraction, where the same data is stored in two or more different locations. The lack of database management requires an employee to create a summary each time the data is requested. By using the information we have created and assessing whether it is relevant to the company’s operations, we hope that the company will find and use information quickly, which will lead to making timely business decisions.

The main objective of this study was to create a database and sales dashboard to monitor brake pad demand and sales volume to support sales planning decisions. This goal was achieved by implementing a Business Intelligence (BI) system for the forensics company. Since the implementation of BI in the area of ​​automotive components has not yet been investigated, the second objective of this study was to contribute to the limited knowledge about the benefits of BI in the automotive industry.

We now provide background information and explain the entire process of creating a survey and implementing BI. As the performance of brake pads depends on the type of car, when a certain type of car is sold out, the market demand for a certain type of brake pad remains for a while before it starts to decrease when the car starts to be sold out. . In order to analyze the relationship between the demand for brake pads and product sales and to predict the sales volume, we used the Box-Cox regression model. In particular, we investigate whether a firm’s sales increase as a (perhaps non-linear) function of customer demand in terms of industry performance. After that, the product life cycle was developed and used to plan the marketing according to the product demand. In addition, as the case study company did not have a good method of systematic collection and management of the database, the data relationship policies should be investigated before the data storage system is developed. In this work, analytical processing (OLAP) was used to analyze and retrieve data. Finally, product management and database management will be visible through a smart dashboard.

The remainder of this paper is organized as follows. Section 2 provides a literature review. Section 3 describes the research methods, including the design of the database and data relationships. Section 4 presents the experimental results, followed by discussion in Section 5. Finally, Section 6 provides conclusions, limitations, and future research directions.

Advances In Cognitive Science And Communications: Selected Articles From The 5th International Conference On Communications And Cyber Physical Engineering (iccce 2022), Hyderabad, India

In today’s competitive business environment, it is imperative that organizations adapt to survive in the face of rapid internal and external changes. As the world becomes more dynamic and integrated, a good business strategy should be developed to provide actionable information and help guide managers, managers, and employees to plan and solve business problems in a timely manner [5]. The concepts of Business Intelligence and Industry 4.0 contribute to the stability and competitiveness of enterprises, to improve sales and to improve the decision-making process in enterprises.

In the past few decades, business intelligence systems have been adopted and used by several companies around the world, as we can see from the growth of research in the field. BI has become an important part of business support in many businesses. It is a process of collecting, analyzing, and transforming data into information or knowledge, which is displayed as reports or dashboards in a database to support business decision making [6]. For example, the work of [7] stated that user satisfaction, cost reduction, and efficient use of time are three important factors to evaluate when using business intelligence. The results of this study showed that the effective use of BI can improve decision-making skills in business. In addition, a study on BI has been carried out in [8] based on a structured communication method. 20 organizations in Poland that have used and advanced in business intelligence were interviewed. These represent sectors from consulting, consulting, banking, insurance, and marketing agencies. They came to the conclusion that

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