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To make operations of an organization digital, i.e., digital transformation (DX), companies and local governments are promoting on-site efforts to improve business efficiency using digital technology and the implementation of measures by DX-promotion departments. To further enhance the effectiveness of DX promotion, it is necessary to create a DX cycle in which workers in the field and DX-promotion departments cooperate to efficiently and accurately implement effective DX measures over a wide area. The work-improvement-support technology developed by NTT to meet this necessity is introduced in this article. [ABSTRACT FROM AUTHOR]

As data grow exponentially, the demand for advanced intelligent solutions has become increasingly urgent. Unfortunately, not all businesses have the expertise to utilize machine learning algorithms effectively. To bridge this gap, the present paper introduces a cost-effective, user-friendly, dependable, adaptable, and scalable solution for visualizing, analyzing, processing, and extracting valuable insights from data. The proposed solution is an optimized open-source unsupervised machine learning as a service (MLaaS) framework that caters to both experts and non-experts in machine learning. The framework aims to assist companies and organizations in solving problems related to clustering and anomaly detection, even without prior experience or internal infrastructure. With a focus on several clustering and anomaly detection techniques, the proposed framework automates data processing while allowing user intervention. The proposed framework includes default algorithms for clustering and outlier detection. In the clustering category, it features three algorithms: k-means, hierarchical clustering, and DBScan clustering. For outlier detection, it includes local outlier factor, K-nearest neighbors, and Gaussian mixture model. Furthermore, the proposed solution is expandable; it may include additional algorithms. It is versatile and capable of handling diverse datasets by generating separate rapid artificial intelligence models for each dataset and facilitating their comparison rapidly. The proposed framework provides a solution through a representational state transfer application programming interface, enabling seamless integration with various systems. Real-world testing of the proposed framework on customer segmentation and fraud detection data demonstrates that it is reliable, efficient, cost-effective, and time-saving. With the innovative MLaaS framework, companies may harness the full potential of business analysis. [ABSTRACT FROM AUTHOR]

The study is devoted to the development of software and information support for business analysis procedures for technological systems of aerospace manufacturing. A technique for constructing simulation models that describe the technological processes of formation of working surfaces of precision aerospace parts based on the concept of technological inheritance is proposed. Evaluation criteria and approaches to managing the stability of technological systems in terms of ensuring functional qualities of the product are proposed. [ABSTRACT FROM AUTHOR]

Purpose: To redesign the spare parts (MRO) inventory management at Company XYZ's warehouse, considering the conditions after the COVID-19 pandemic. Design/methodology/approach: To address this research project, the authors integrated three methodologies: action research, Lean Six Sigma (DMAIC) and Cross Industry Standard Process for Data Mining. These methodologies integrated the Lean Six Sigma (LSS) 4.0 framework applied in this project. Findings: The spare parts inventory value was reduced by 15%, and inventory turnover increased by 120% without negatively impacting the internal service level. Practical implications: Practitioners leading or participating in continuous improvement projects (CIPs) should consider data quality (data available and data trustworthiness), problem-solving approach and target area involvement to achieve CIP goals. Otherwise, the LSS 4.0 could fail or extend its duration by several weeks or months. Originality/value: This project shows the importance of controlling a target area before deciding to conduct a LSS 4.0 project. To address this problem, the LSS 4.0 team implemented 5S during the measure phase of the DMAIC. Also, this project offers significant practitioner and theoretical contributions to the body of knowledge about LSS 4.0. [ABSTRACT FROM AUTHOR]

One of the problems of business analysis is obtaining and processing an ever-increasing volume of economic, financial, organizational, political and legal data. Multimodal business analytics is a new methodology combining the methods of classical business analysis with big data technologies, intelligent business analytics, multimodal data fusion, artificial neural networks and deep machine learning. The purpose of the study is to determine the conceptual foundations of the phenomenon of multimodal business analytics and substantiate the prospects for its use in economic science and practice. Methodologically, the study rests on the systems approach, i.e., multimodal business analytics is examined as a unique integrated phenomenon comprised of several interrelated components. The evidence base covers research studies of 2000–2022 on multimodal business analytics from Scopus and the Russian online database eLibrary.ru. Empirical methods were used to collect and evaluate the dynamics of the number of relevant publications and their segmentation by subject areas. We have proposed own thesaurus and ontology of the key terms that make up the phenomenon of multimodal business analytics. It is shown that the use of the concept allows expanding the range of data, exposing hidden interrelations of organizational and economic phenomena and synthesizing fundamentally new information needed for effective decision-making in business.

This study aims to analyze the Patin fish enlargement pond business in Banua Lawas Village, both from cultivation techniques, production results, revenue, income, profits, and business feasibility. Sampling using the census method with the number of respondents as many as 20. The results showed that the Patin fish enlargement pond business in Banua Lawas Village with 40 ponds with an average seed stocking of 12,100 and a total cost of IDR. 4,220,832,280, the revenue obtained was IDR. 4,299,700,000 with an average of IDR. 214,985,000, the income received was IDR. 513,688,627 with an average of IDR. 25,684,431, the profit obtained in the Patin fish enlargement pond business in Banua Lawas Village was Rp. 78,867,720 with an average of IDR. 3,943,386. The business carried out in Banua Lawas Village is worth working on but has a very small RCR value of 1.02 where every capital spent of IDR. 1 will generate a profit of IDR. 1.02.

Business analysis is a complex mechanism that maximally satisfies the needs of the beneficiaries in obtaining realistic information about the prospects of the enterprise's functioning and its ability to achieve the set goals. The peculiarity of business analysis is that its methodology is tied to the need to evaluate the company's activities based not only on financial information but also on data characterizing environmental, social and other parameters of the constantly changing environment. The article aims to identify the content of the information in the integrated reporting used to achieve business analysis goals. It was found that the data of the integrated reporting is used during the execution of all the main activities of the business analysis. In the context of the implementation of relevant tasks, subjects of business analysis: carry out identification and assessment of the adequacy of enterprise tasks; determine and substantiate ways of solving activity tasks; ensure the selection and evaluation of resources necessary for solving tasks; identify the factors that influence and solve the enterprise tasks, and evaluate their impact; carry out a current assessment of the results of solving tasks. In this regard, it was proposed to disclose in integrated reporting data that enable subjects of business analysis to develop, substantiate and submit to stakeholders for the implementation of a proposal regarding the content of strategic, tactical and operational goals and algorithms for their achievement based on individual business operations, programs, business cases and portfolios. Considering the interests of stakeholders and executors, a business analyst based on information from integrated reporting has the opportunity to contribute to the optimization of management decisions, which will be reflected in the reduction of activity costs, the formation of alternative options for asset management, and the prioritization of the interests and expectations of interested parties.

Software quality is a critical aspect of software development that significantly impacts business performance and customer satisfaction. However, defining software quality can be challenging, as different sources provide various definitions and perspectives. The article presents a literature review of software quality, acknowledging an ongoing debate over the years regarding the definition of software quality and the methods used for its assessment. Among all the different ideas about software quality, the article highlights key concepts that are crucial in understanding software quality: meeting requirements, satisfying users, using software features, and spotting defects. The article also checks out international standards like ISO/IEC 25010:2011 and ISO/IEC 5055:2021, introducing terms such as "Quality in use" and "Structural Quality." Unveiling a tripartite perspective elucidated in international standards—internal quality, external quality, and quality in use - the article underscores the intricate interplay between subjectivity and objectivity. The subjective dimension, influenced by user perception and contextual factors, is juxtaposed with more objective criteria such as conformance to requirements and the absence of defects. The standards provide helpful perspectives, but the human side of things, like user feelings and specific contexts, makes finding a universal definition tricky. The pivotal role of business analysis and requirements engineering in ensuring software quality is underscored. Business requirements, stakeholder needs, and the quality of functional and non-functional requirements emerge as integral components. The article argues that software quality is intricately tied to the quality of its requirements, presenting a dual perspective: compliance with quality criteria and alignment with stakeholders' expectations and business goals. Practical software quality assessment is built upon the foundational understanding of contextual nuances, user needs, and operational conditions, all discerned through business analysis.

Spreadsheets help businesses run effectively and efficiently. However, many spreadsheets contain errors. Research provides taxonomies and guidance on preventing spreadsheet errors; this information often is not incorporated into training. Training students to use Excel functions and good spreadsheet practices is critical. This instructional experiment aims to educate students on techniques that reduce the chance of errors, provide an Excel project to demonstrate their skills and implement a quiz tool that identifies students' mistakes as they complete the project. The goal is to guide students to learn from their errors, improving confidence in their Excel skills. [ABSTRACT FROM AUTHOR]

These days, we are taking part at an increasing rate of business digitization, and without a doubt, we encounter difficulties in maintaining a clear overview of the business processes within an organization. Considering each business flow a puzzle piece of the entire company landscape, we aim to highlight the importance of documenting each 'working piece' with no other priorities. Having this focus in mind, as business intelligence and software developers, we can't imagine this puzzle with a missing piece. Being aware of the fact that a solid base is built piece by piece, both the image of the company and its productivity can suffer because of omissions related to essential details, details that in the context of competition in today's marketplace end up making the difference between the clients' choices. So, each piece, each workflow, no matter how small, is essential to the overall success of a company. In this paper, we wish to emphasize the importance of proper documentation that presumes a wellpointed business analysis, the foundation upon which a successful business thrives. [ABSTRACT FROM AUTHOR]

In recent years, the energy consumption structure has been accelerating towards clean and low-carbon globally, and China has also set positive goals for new energy development, vigorously promoting the development and utilization of renewable energy, accelerating the implementation of renewable energy substitution actions, and focusing on improving the consumption capacity of new energy. However, due to the intermittent and unstable characteristics of renewable energy, it is difficult to meet the demands of the power load side in practical applications. Energy storage is an important link for the grid to efficiently accept new energy, which can significantly improve the consumption of new energy electricity such as wind and photovoltaics by the power grid, ensuring the safe and reliable operation of the grid system, but energy storage is a high-cost resource. Therefore, this paper focuses on the energy storage scenarios for a big data industrial park and studies the energy storage capacity allocation plan and business model of big data industrial park. Firstly, based on the characteristics of the big data industrial park, three energy storage application scenarios were designed, which are grid center, user center, and market center. On this basis, an optimal energy storage configuration model that maximizes total profits was established, and financial evaluation methods were used to analyze the corresponding business models. Finally, taking an actual big data industrial park as an example, the economic viability of energy storage configuration schemes under two scenarios was discussed, and an energy storage system construction plan was proposed to promote the zero-carbon target of the big data industrial park.

Business analysis is a complex mechanism that maximally satisfies the needs of the beneficiaries in obtaining realistic information about the prospects of the enterprise's functioning and its ability to achieve the set goals. The peculiarity of business analysis is that its methodology is tied to the need to evaluate the company's activities based not only on financial information but also on data characterizing environmental, social and other parameters of the constantly changing environment. The article aims to identify the content of the information in the integrated reporting used to achieve business analysis goals. It was found that the data of the integrated reporting is used during the execution of all the main activities of the business analysis. In the context of the implementation of relevant tasks, subjects of business analysis: carry out identification and assessment of the adequacy of enterprise tasks; determine and substantiate ways of solving activity tasks; ensure the selection and evaluation of resources necessary for solving tasks; identify the factors that influence and solve the enterprise tasks, and evaluate their impact; carry out a current assessment of the results of solving tasks. In this regard, it was proposed to disclose in integrated reporting data that enable subjects of business analysis to develop, substantiate and submit to stakeholders for the implementation of a proposal regarding the content of strategic, tactical and operational goals and algorithms for their achievement based on individual business operations, programs, business cases and portfolios. Considering the interests of stakeholders and executors, a business analyst based on information from integrated reporting has the opportunity to contribute to the optimization of management decisions, which will be reflected in the reduction of activity costs, the formation of alternative options for asset management, and the prioritization of the interests and expectations of interested parties. [ABSTRACT FROM AUTHOR]

This study aims to analyze the superior rice farming of the Ciherang variety including the costs, revenues, income, profits, and feasibility of the Ciherang variety superior rice farming in Parigi Village, Bakarangan District, Tapin Regency. This research was conducted in May 2022. The data was collected in the form of primary data and secondary data using the Census sampling method. Analysis of the data used is a qualitative analysis that is processed descriptively and a financial analysis to calculate the cost, revenue, income, profit, and feasibility of Ciherang rice farming. The results showed that the average production was 4.337,5kg/farmer. The average total cost is Rp 11.931.789/farmer, the average revenue is Rp 18.056.250/farmer, the average income is Rp 9.227.469/farmer, and the average profit received by farmers is Rp 6.124.461. The ratio R/C value is 1,53. Thus, the superior rice farming of the Ciherang variety in Parigi Village, Bakarangan District, Tapin Regency is feasible to cultivate.

The subject matter of this article is business analysis and requirement engineering (BA/RE) in software projects. The goal is to identify the challenges faced by Ukrainian business analysts and requirement engineers in software development projects and investigate the possible reasons and negative consequences of these issues. The tasks to be solved are: create and conduct a survey on the practices of BA/RE in IT projects, define the most critical problems in BA/RE, their causes and implications, and define how project context influences problems in business analysis and requirement engineering. The methods used are: a survey (N = 324) was performed among business analysts and requirement engineers in Ukraine regarding problems in BA/RE and the context of IT projects in which they manifest. The Chi-Square test of independence and Cramer's V effect size measure were applied to define statistically significant dependencies between project context and BA/RE problems. The following results were obtained: the most critical problems in BA/RE, their causes, and their implications were defined and compared with other comprehensive studies. Twelve statistically significant associations for pairs "project context – BA/RE problem" were found (based on the p-value and Cramer's V effect size measure). Conclusion: 1) A comparison of the results of this study with similar studies conducted in other contexts has shown that the issues identified by Ukrainian BA/RE professionals are similar to those found by other researchers in other countries; 2) it is concluded that project context influences particular BA/RE problems, and these dependencies allow us to develop recommendations for risk management for particular problems depending on the project context.

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Bitung City is one of the centers of fishing industry activity with a very strategic location. Yellowfin tuna is the dominant species of tuna which is always caught throughout the year which is landed at the Bitung Ocean Fishing Port using hand line tuna fishing gear. This research was carried out with the aim of knowing the costs, revenues and profits, the balance value of revenues and costs (R/C ratio), the Break Even Point (BEP) of hand line tuna fishing businesses with vessels > 30 GT. This research uses descriptive quantitative and qualitative methods. Primary data and secondary data were obtained through interviews and direct observation. The results showed that the total costs in the tuna hand line business amounted to 95,509.2 USD/year, revenues of 191,018.4 USD/year and the average profit earned was 103,149.94 USD/year. The results of the Reveneu Cost Ratio (R/C ratio) analysis are 2.0 so that the tuna hand line business is categorized as feasible and profitable. The results of the Break Event Point (BEP) analysis of the tuna hand line business were achieved at a total production of 7,368 kg or a selling price of 41,785.28 USD for tuna. Payback Period (PP) analysis results are 1.4 (1 year 4 months or 8 trips).

Currently, internet-linked ride-sharing services are active in several Southeast Asian nations. This research aimed to investigate the impacts on consumer brand preference by examining the relationships between the variables of service quality, perceived value, and brand image. Crosssectional data was used, and a quantitative technique strategy was taken. Customers of online ridesharing service alliances in Southeast Asia were the subject of the unit analysis, which included 384 respondents from each of the following countries: Malaysia, Indonesia, Cambodia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam. The representative offices of the ride-sharing businesses in the target nations were the distribution points for surveys used in the sampling method, which combined random sampling with purposive sampling. Path analysis was the method of data analysis employed. The results showed that perceptions of service quality, perceived value and brand reputation influenced brand choice simultaneously and significantly. [ABSTRACT FROM AUTHOR]

This case study delves into the business trajectory and evolution of Prona-grad Ltd., a civil engineering firm founded in Zagreb, Croatia in 2010. Initially focused on the legalization of unauthorized building constructions, the company rapidly expanded its services to encompass energy certification, property valuation, design, project supervision, and completion works, all underpinned by a functional organizational structure. Specializing in high-rise constructions and infrastructure projects, Prona-grad employs advanced software and a collaborative approach to deliver secure and economically viable homes that satisfy investor's comfort and aesthetic needs. Prona-grad's financial assessment showcases consistent revenue growth, with funds strategically invested in the company's expansion and development. The company's success story presents a promising case for practitioners and researchers in the field of civil engineering, exemplifying a commitment to excellence and innovative solutions that generate value for real estate stakeholders. [ABSTRACT FROM AUTHOR]

The subject matter of this article is business analysis and requirement engineering (BA/RE) in software projects. The goal is to identify the challenges faced by Ukrainian business analysts and requirement engineers in software development projects and investigate the possible reasons and negative consequences of these issues. The tasks to be solved are: create and conduct a survey on the practices of BA/RE in IT projects, define the most critical problems in BA/RE, their causes and implications, and define how project context influences problems in business analysis and requirement engineering. The methods used are: a survey (N = 324) was performed among business analysts and requirement engineers in Ukraine regarding problems in BA/RE and the context of IT projects in which they manifest. The Chi-Square test of independence and Cramer's V effect size measure were applied to define statistically significant dependencies between project context and BA/RE problems. The following results were obtained: the most critical problems in BA/RE, their causes, and their implications were defined and compared with other comprehensive studies. Twelve statistically significant associations for pairs "project context - BA/RE problem" were found (based on the p-value and Cramer's V effect size measure). Conclusion: 1) A comparison of the results of this study with similar studies conducted in other contexts has shown that the issues identified by Ukrainian BA/RE professionals are similar to those found by other researchers in other countries; 2) it is concluded that project context influences particular BA/RE problems, and these dependencies allow us to develop recommendations for risk management for particular problems depending on the project context. [ABSTRACT FROM AUTHOR]

The article defines the main factors that have a negative influence on economic development of entities at present situation, and outlines the signs of the enterprise crisis state, which make it necessary to use the levers of anti-crisis management. The company’s exit from the crisis state is impossible to provide a wellformed system of crisis management, which provides: timely solution of enterprise problems, stabilization of unstable situation and elimination of negative factors, minimization of losses and lost opportunities of the enterprise, preventive crisis management, in-crisis management, management of crisis exit procedures, management of the enterprise operation and management of the enterprise development. The principles of a wellformed system of anti-crisis management are defined. The essence, functional purpose and algorithm of business analysis of organization activity under crisis conditions are revealed; the main vectors of business analysis development are investigated; the most common variants of classification of software products for business analysis are considered. In recent years in all areas of the world economy, the trend of transition to the era of the fifth scientific and technical revolution based on information technologies and artificial intelligence is clearly observed. That is why the issue of information technologies application in business analysis of organizations’ activity in crisis conditions is extremely important. Anti-crisis management provides management of enterprise architecture, strategic planning and analysis, formation of CRM-system, technical design, planning and implementation of measures ensuring product quality and competitiveness, object management in general and much more. Business analysis is always present in ensuring the effectiveness of the company’s activities. In the scientific literature and in business practice, four fundamentally interrelated types of business analytics are generally distinguished: descriptive, diagnostic, predictive and prescriptive. In business analysis, the following main categories of functions are mandatory: possibility of integration, information representation, data analysis, modelling, forecasting, forming of the map of indicators. In organization’s management the implementation of strategic decisions through categories like unity, coherence and internal consistency, where CRM-system forms effective tools of human resources management, task definition and control, data collection and analysis, support of all stages of sale process, construction, service, internal communications and other is effective. ERP-system – increases efficiency of planning resources process of the organization, helps you to control internal processes and make important business decisions in real-time. The most up-to-date and demanded software products for business analysis can be attributed: Qlik Sense, Qlik View, Naumen Servise Desk, MicrosoftStrategy Analytics, Roistat, GetReport, PlanFakt, Seenece, Business Scanner, Tibco Spotfire, SAP BusinessObjects, Finoko, IBM Cognos Busines Interlligence, Power BI, SAP Lumara. During their development information and analytical technologies have changed configuration of business analysis, making it an instrument for creating information content. [ABSTRACT FROM AUTHOR]

Abstract This study aims to determine the business performance of beef cattle farmers in terms of livestock production and productivity and the income of farmers from beef cattle business. The research was conducted descriptively with survey techniques through interviews and field observations. Primary data was taken by conducting interviews with farmers or those who run beef cattle business, extension workers, and stakeholders in the field of animal husbandry. The observed variables included maintenance, housing, feeding, reproductive system and BCS as well as cattle farming business analysis. The data obtained were analyzed descriptively to determine the important values (means, maximum value, minimum value and standard deviation) and presented in tabular form. The t-test was carried out to determine conclusively the existence of the change phenomenon at the beginning of raising and now (late). The results of the study show that the performance of beef cattle business in Masni District has enormous potential as indicated by an efficient livestock production system, a high reproduction system and a profitable livestock business analysis value. The results of the t test show that there is a significant increase for the population and also the price with a B/C Ratio value was 1.9. Keywords: Business analysis; Cattle; Livestock production; Reproductive efficiency Abstrak Penelitian bertujuan mengetahui performa usaha peternak sapi potong dari segi produksi dan hasil pendapatan peternak dari usaha sapi potong. Penelitian dilakukan secara deskriptif dengan teknik survei melalui wawancara dan observasi lapangan. Data primer diambil dengan melakukan wawancara terhadap peternak atau yang menjalankan usaha ternak sapi potong, penyuluh, dan stake holder dibidang peternakan. Varibabel yang diamati meliputi pemeliharaan, perkandangan, pemberian pakan, sitem reproduksi, BCS (Body Condition Score) serta analisis usaha peternakan sapi. Data yang diperoleh dianalisis secara deskriptif untuk mengetahui nilai-nilai penting (means, nilai maksimum, nilai minimum dan standar deviasi) serta disajikan dalam bentuk tabel. Uji t dilakuan untuk mengetahui secara meyakinkan keberadaan fenomena perubahan saat awal beternak dan saat ini (akhir). Hasil penelitian menunjukkan bahwa performa usaha ternak sapi potong di Distrik Masni Kab. Manokwari memiliki potensi yang sangat besar. Hal ini ditunjukkan oleh sistem produksi ternak yang efisien, indeks reproduksi yang tinggi dan nilai analisa usaha ternak yang menguntungkan. Hasil Uji t menunjukkan bahwa ada peningkatan yang signifikan untuk populasi dan harga dengan nilai B/C Ratio adalah 1.9. Kata kunci: Analisa usaha; BCS; Efisiensi reproduksi; Performa usaha; Produksi ternak

Currently, linked internet ride-sharing services are active in several Southeast Asian nations. This research aimed to investigate the relationships between the various variables by looking at the impact of perceived service quality, perceived value, and brand image on consumer brand preference. Cross-sectional data was used, and a quantitative technique strategy was taken. Customers of online ride-sharing service alliances in Southeast Asia are the subject of the unit analysis, which includes 384 respondents from each of the following countries: Malaysia, Indonesia, Cambodia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam. The representative offices of the die-sharing businesses in our target nations were the distribution points for surveys used in the sampling method, which combined random sampling with purposive sampling. Path analysis is the method of data analysis employed. The results showed that perceptions of service quality, perceived value and brand reputation influence brand choice simultaneously and significantly.

Robotic process automation, has revolutionized businesses and operations in the 21st century. This innovative technology makes automated tasks easier than ever before, allowing for faster processes and greater business efficiency. In an age that prizes convenience and speed, robotic process automation's success has been felt in a variety of industries including insurance, healthcare, banking, transportation, and more. Robotic process automation combined with process mining is a game-changing approach to operational efficiency. Through this innovative combination, businesses are able to take advantage of their existing data in order to autonomously and rapidly identify opportunities for automation across their organizational processes. In addition, this allows companies to monitor the performance of the robotically automated processes, enabling them to quickly understand which processes are working and which could benefit from further optimization. With robotic process automation through process mining, companies have streamlined their operations and enhanced customer experience in ways that were not possible just a few years ago. In this paper we aim to highlight the benefits of the fusion of these two technologies, software robots development and process mining, oriented both on the actual implementation, configuration and the final results. [ABSTRACT FROM AUTHOR]