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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.

Copyright of Journal of Tropical Animal & Veterinary Sciences / Jurnal Ilmu Peternakan dan Veteriner Tropis is the property of Fakultas Peternakan Universitas Papua and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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]

The paper analyzes the business and the potential for improving the business of a small processing company through the McKinsey 7S model. The first part of the paper presents an overview of the literature in this area. The methodology is presented in the second part of the paper. In the third part of the work, all points of the 7S model (strategy, structure, systems, shared values, management style, employees, skills) were analyzed. At the end, a conclusion was given with suggestions for improvement. The work shows that the McKinsey7S model can be applied in all types of companies and provides an overview of the current situation with an insight into critical points that need to be improved.

It is well known that in the Croatian economy very little attention is paid to business analysis and business risk management. Also, incompetence and inadequate expertise of top management, as well as superficial and insufficiently professional supervision of business by companies' owners, continuously generate problems with liquidity, over-indebtedness, and losses within Croatian companies. Failure to (timely) address these problems is in essence the cause of a large number of bankruptcies and liquidations of business entities, which ultimately produces serious problems for the Croatian economy in general. In this paper, business analysis and the analysis of business risks of the Uljanik d.d. group. during the period from 2016. to 2017. will be evaluated in order to determine the creditworthiness of the company at that time, respectively before the announcement of the company's bankruptcy in 2019. This paper will try to determine whether the difficulties in business could be promptly identified and whether the company's management structure in the mentioned period could react faster and more decisively based on the assessment of the company's creditworthiness and the knowledge gained during the analysis. The optimal choice of financial and qualitative indicators was used in the evaluation of creditworthiness by which it is possible to make a more reliable assessment of creditworthiness taking into account internal and external factors that affect the company's operations. In the used credit score model, the final credit rating is determined by synthesis and common use of financial and qualitative indicators and provides comprehensive and credible information about the business entity and its business risks and in that way allows the correct business decisions to be taken on time.

The study aims to review the challenges of implementing big data by Malaysian small- and medium-size enterprises (SMEs)as well as to figure out the relationship between architecture, social, law and market. Currently, there is limited research and literature examining the challenges of big data analysis in Malaysia SMEs. This paper has opted for a thorough analysis of the complexities of implementing big data at SMEs in Malaysia by applying a comprehensive literature search from different databases, journals, Google scholar, IEEE and content review. This research offers practical insights into the complexities of taking Big Data in SMEs in Malaysia. It is proposed that law, architecture, social and market can be applied by Malaysian SMEs to adopt big data analytic. The authors used quantitative survey. This is done by soliciting criteria from general managers/managing directors/CEOs or data analysts from LinkedIn group. Data wereanalysed by partial least square. This research makes contribution to academics and practitioners to the emerge of predictive model to suit the challenges of big data adoption in Malaysia SMES.

There is a large variability in profitability and productivity between farms operating with automatic milking systems (AMS). The objectives of this study were to identify the physical factors associated with profitability and productivity of pasture-based AMS and quantify how changes in these factors would affect farm productivity. We utilised two different datasets collected between 2015 and 2019 with information from commercial pasture-based AMS farms. One contained annual physical and economic data from 14 AMS farms located in the main Australian dairy regions; the other contained monthly, detailed robot-system performance data from 23 AMS farms located across Australia, Ireland, New Zealand, and Chile. We used linear mixed models to identify the physical factors associated with different profitability (Model 1) and partial productivity measures (Model 2). Additionally, we conducted a Monte Carlo simulation to evaluate how changes in the physical factors would affect productivity. Our results from Model 1 showed that the two main factors associated with profitability in pasture-based AMS were milk harvested/robot (MH; kg milk/robot per day) and total labour on-farm (full-time equivalent). On average, Model 1 explained 69% of the variance in profitability. In turn, Model 2 showed that the main factors associated with MH were cows/robot, milk flow, milking frequency, milking time, and days in milk. Model 2 explained 90% of the variance in MH. The Monte Carlo simulation showed that if pasture-based AMS farms manage to increase the number of cows/robot from 54 (current average) to ∼ 70 (the average of the 25% highest performing farms), the probability of achieving high MH, and therefore profitability, would increase from 23% to 63%. This could make AMS more attractive for pasture-based systems and increase the rate of adoption of the technology.

Business processes for providing services and products are becoming increasingly complicated to meet the diverse needs of customers brought on by dramatic changes in the social environment. To make improvements to these complicated processes, it is important to accurately understand and analyze business processes on the basis of comprehensive and objective data. This article introduces the business design support technology we developed that can be used immediately on-site to effectively understand and analyze the current state of business processes and the NTT technologies at the core of this technology. [ABSTRACT FROM AUTHOR]

Copyright of Economy & Market Communication Review / Casopis za Ekonomiju i Trzisne Komunikacije is the property of Pan-European University Apeiron and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article is aimed at defining the feasibility of using the Sitniks CRM software for small commodity businesses, examining its compliance with the standard and the main competitive advantages among such products. Analyzing and generaling the scientific works of many scholars, the positive impact of high-quality information provision on the activities of the enterprise is proved. However, despite the obvious benefit of using automation systems, a bigger share of Ukrainian entrepreneurs do not use CRM systems (Customer Relationship Management systems) either due to lack of awareness or unsuccessful implementation experience. The article uses comparative and matrix analyses. A comparative analysis of competitors shows that the researched CRM system stands out among others with a high level of flexibility and personalization, which is the main advantage of this software. During the SWOT analysis, the factors influencing the development of the company were worked out in detail. It is found that the main drawback of this software is a relatively long implementation period, and its capabilities and threats are, accordingly, scaling and increasing competitors in a niche. It is concluded that the Sitniks CRM system is not just a system for simplifying and automating business processes, but a platform that has sufficiently powerful functionality due to customization, integration, tracking capabilities and ease of use. The implementation of this software will lead the company to increase productivity, allowing to effectively plan and control, as well as establish strong relationships with customers.

The purpose of management control is to increase the motivation of managers and to create a greater convergence of objectives within an organization. It is a well-established management principle that what cannot be measured cannot be managed. However, it is equally true that what cannot be monitored cannot be well managed. This is where business dashboards come in. Living in an age of digitalization in which the world is changing and adapting to the complex systems of society, businesses must always be prepared with the tools necessary for adaptation. This article describes some important concepts in enterprise performance measurement management exemplified by Nike. In addition, a dashboard will be designed and the importance of monitoring key performance indicators will be highlighted.

The UML modeling language is a set of methods that describe the dynamic and structural properties and is used to evaluate the structure of a systems architecture. This modeling language presents several types of predefined diagrams that have the role of synthesizing in visual form the most eloquent information necessary to characterize a system or to understand a process. In this research, we will use UML to propose the improvement of an existing application within Adobe, the purpose of which is to send promotional offers through multiple channels to members of the Adobe community. We will also approach at a theoretical level the description of the basic notions and analyzes used in modeling business processes and necessary for the diagnosis of business systems.

Introduction. Modern information and digital solutions qualitatively change all chains of business processes of companies and open wide opportunities for business communications. However, companies need to independently determine their needs in the development and implementation of appropriate information and software solutions, substantiation the reasons for the rational choice of adequate options for analytical procedures from the multitude of digital options currently available. In fact, the problems of choosing directions for the analysis of business indicators are in the general direction of solving the problems of the informational-communicative and organizational-analytical functions of the development of economic entities. Methods. The theoretical and methodological basis of the research is the fundamental provisions of modern economic science, the work of domestic and foreign scientists. The following methods were used in the research process, in particular: analysis and synthesis - to study the object and subject of research; abstract and logical (theoretical generalizations and formulation of conclusions); constructive and experimental (formation of a management decision with the help of analytical support). Results. According to the results of the research, it was found that business analysis integrates technical and economic knowledge, which ensures their applied use, contributes to the acquisition and systematization of information about the company's work at all levels, and establishes logical connections between stakeholders. The connection between business analytics, accounting system, information support and control procedures were revealed. The close relationship between business analytics and business communications as a set of information-analytical relationships determined by the specifics of the activity and different levels of the company's organizational culture, based on the interaction of the system of social and economic, organizational-management and technical-technological relations, is substantiated. Discussion. The results of the study can be used in the formation of a strategy for the development of analytical work and the construction of modern communication links between stakeholders in the process of their interaction. [ABSTRACT FROM AUTHOR]

Introduction. The need to solve a wide range of problems through analysis has led to a demand for analysts, who are called agents or initiators of change. Given that today in the competitive labour market the position of business analyst is one of the most prestigious and well-paid, to business analytics as an activity, to this rapidly evolving field of knowledge, as well as to the relevant educational product there is a natural interest. Accordingly, the essence of the concept of "business analyst" in its various interpretations and aspects, determining the key parameters of the model of professional competence of business analysts, as well as solving problems of their formation and integration in the relevant educational and professional training program of higher education are becoming relevant consideration. Methods. The authors used the dialectical method of cognition and general scientific techniques and principles of complex research, which provide empirical, theoretical, cognitive and general logical methods. The specified methodical tools are used: observation, comparison, description, generalization for consideration of essence and disclosure of some directions of business analytics; system approach and modelling for identification and systematization of key parameters of professional competence for business analyst; analysis, synthesis and logical approach to solving problems of their formation and integration in the process of educational activities. Results. It is concluded that the complexity of the external environment and internal business processes of the enterprise necessitate the use of business intelligence as a system of integrated and continuous monitoring, evaluation and diagnosis of business operations, as well as changes through business analysis to solve problems or use existing opportunities ensuring viability and business development. This implies a new conceptual approach both in the processing of information and in the purposes and features of such analysis. This will increase the effectiveness of the analysis and allow the organization to turn analytical work into an integral part of successful business. The key parameters of the business analyst' professional competence model are determined. The tasks of the educational program for training business analysts on the formation and integration of appropriate educational competencies and obtaining applied learning outcomes are formulated. Discussion. Under these circumstances, there are appropriate prerequisites for the further development of business intelligence as a new promising concept of analytical work in the organization, direction in science and educational activities for the training of specialists in this field. Therefore, further developments are extremely important - new scientific approaches, developments in certain areas and types of business analytics, improvement of methodological tools of analysis, suggestions for improving the content, methods and organization of the training process and more. [ABSTRACT FROM AUTHOR]

An enterprise as a subsystem or element of the environment and an enterprise as a system or a separate whole means an organization that is determined by the structure and form, in which the transformation of inputs into outputs is performed in order to make a profit. It follows that the company has a structural and functional dimension. The structural aspect is focused on observing and determining the ability to work, and the functional dimension on observing and determining the manner and consequences, the results of that work. The differences in management in the current or traditional and modern conditions are reflected in the changes in the way of thinking, the way of behaving and the orientation. Continuity of functioning, as well as reliance on one's own actions, which are important business conditions in the past, have been replaced by current and future expected conditions that mark discontinuity, complexity and dependence on decisions of others, ie on decisions from the environment. Of course, such changes are also reflected in planning, control and information, ie analysis of the balance sheet as a component of management. Management problems are structured differently, instead of simplicity, complexity has emerged.

The task of accelerating the development of the digital economy and creating new platforms can be solved by adopting national strategies and programs. At the same time, a comprehensive solution to the issues related to digitalization provides a basis for the efficient use of funds. Digitalization needs to be encouraged both by supporting the ICT sector and networks that use digital solutions. Digitalization using financial instruments should be the main direction, focusing on national programs to support small and medium enterprises. At the same time, the widespread use of mixed public and private financing systems as a critical principle of innovation policy will encourage the commercialization of digital developments based on project selection. The use of digital technology in the business analysis involves two tasks. The first is the introduction of digital technology analysis of business activities in business entities. The second task is to adapt the information obtained through digital technologies in accounting and reporting. It is planned to develop a methodology for teaching students modern knowledge, skills and competencies in the use of digital technologies in business analysis by teaching the theoretical, methodological, organizational and practical bases of analysis in the course of teaching "Digital technologies in business analysis" by the Department of "Economic Analysis" of Tashkent Institute of Finance. Information-analytical systems and their functional, structural features are revealed through the use of digital business analysis methods. The use of particular digital technologies for analysis to ensure digital information storage is the next step in studying science. The study of digital systems facilitates the learning of software tools used to apply business analysis techniques. The possibilities of business analysis software, analytical modules in integrated financial information systems are studied as a separate topic. It covers everything from studying separate analytical modules in accounting information systems to applying analytical functions embedded in financial information systems. [ABSTRACT FROM AUTHOR]

In this paper we had tried to identify challenges to simplify Big Data for businesses. With the introduction of Big Data and performance business perspective for organization. The growth of big data and analytics has changed the entire appearance and item management. In our era day by day business will improve so raw data and other information like employee mobile data recorded for security reason, email, blog and many more information will store so day by day data will increases when business is going to growth. For example MNC e commerce store (amazon) require to store all information like warehouse, employee data, user data in this type of business comes big data and we need to handle them for improve business. The purpose of this study is to summaries applications of big data for business, importance, tools, and difficulties when handling big data and idea as well as competitive benefits of business. The determined part is to get insight from the raw data and makes to refine. Data are generally identified in the form of easy, semi complex and complex. We have used secondary data to identify various opportunities in the field of big data. The big data mostly comes unstructured and any sources require to analyze best business analytics technique. [ABSTRACT FROM AUTHOR]

This research is aimed to analyze cost, revenue, profit, profitability, Break Event Point, business efficiency and the risks of broiler chicken farming in Jumantono District, Karanganyar Regency. This research was conducted in June-July 2018. Data used was one production period (35 days). The basic method in this study is descriptive analytical method and using case study techniques. Determination of the location of the study was carried out by purposive (intentional), namely in the District of Jumantono, Karanganyar Regency. The respondents were taken by quota sampling method as many as 30 respondents. The types and and sources of data consist of primary data and secondary data. Data collection techniques are carried out by interview, observation and recording. The results showed that the average total cost of broiler chicken farming was IDR 124,291,091 and the average income was IDR 165,114,558, - so that the profits obtained were IDR 40,823,467. Broiler chicken farms in Jumantono District, Karanganyar Regency benefit from a profitability rate of 32.85%. Nliai R / C ratio or broiler chicken business efficiency of 1.32. BEP products from broiler chicken farms amounted to 1,665.1 kg, BEP sales amounted to IDR 29,391,635, and BEP prices were IDR 13,489 / kg. Broiler chicken farming in Jumantono District, Karanganyar Regency has a CV value of ≤ 0.5 or L ≥ 0 so that it avoids the risk, because the lower limit of profit (L) shows a positive value (+).

This study aims to analyze the cost, revenue, profits, profitability, analyze internal and external factors, alternative strategies and prioritize strategies for developing the home industry of soybean tempeh in Karanganyar Regency. The data analysis methods used are 1) business analysis to find out the cost, revenue, profit, profitability; 2) IFE Matrix; 3) EFE Matrix; 4) IE Matrix; 5) SWOT Matrix; 6) QSPM Matrix. The results showed that the average cost of the soybean tempeh home industry business in Karanganyar Regency was IDR14,058,002.96 and the average revenue was IDR15,675,000.00 with an average profit of IDR1,616,997.04 and profitability of 11,50 %. Analysis of the matrix of IFE home industry in soybean tempeh in Karanganyar is strong with a value of 2,877. The results of the EFE matrix also show it is classified as strong with a value of 2,680. The position is in cell 5, namely in the division guarding and maintaining through market penetration strategies and product development strategies. Based on the SWOT matrix, there were eight alternative strategies which were then selected by the four appropriate strategies based on consideration of the IE matrix results, to assess their attractiveness in the QSPM matrix. The highest value of attraction (TAS) of 5,522 is forming institutions or organizations to facilitate access to market, capital, raw material, and technology information.

Aim: This study aimed to determine the use of probiotics Bifidobacterium spp. and Lactobacillus casei as alternative antibiotic growth promoters (AGPs) to improve growth performance and business analysis. Materials and Methods: This study used a completely randomized factorial design. The first factor was the time of administration (1, 2, 3, and 4 weeks) and the second was the use of probiotics (control without probiotics; 0.1% AGP and 0.5% Bifidobacterium spp. + 0.25% L. casei). One hundred and eighty laying hens (Lohmann strain), of 30 weeks old, were divided into 12 treatment groups, composed of five replicates, each consisting of three laying hens. Results: The results showed that using 0.5% Bifidobacterium spp. + 0.25% L. casei in weeks 1 and 2 showed the lowest feed intake (FI) (112.11-112.19 g/day), the highest egg weight (60.28 g) in the 1st week, the lowest feed conversion ratio (FCR) (2.21-2.23), and highest feed efficiency (44.75-45.25%) for 3-4 weeks, and the highest hen-day production (86.66-86.90%) for 3-4 weeks and the most profitable business analysis (IDR. 30,353). Conclusion: Based on the results, it can be concluded that the addition of 0.5% Bifidobacterium spp. + 25% L. casei probiotics can be used as a substitute for AGP; it can reduce the FI and FCR, increasing egg weight, feed efficiency, and hen-day production, as well as illustrating the results of the most profitable business analysis.

Vannamei shrimp farming is a fisheries sub-sector that is being promoted by the government. The right strategy is needed in the development of vannamei shrimp farming, so that the farming activities can run sustainably. This research aimed to determine the management of vannamei shrimp farming activities, business analysis, internal and external factors and appropriate development strategies for Mini-Scale Shrimp Farming on Plastic Pond (BUSMETIK) in Tegal City. This research was descriptive research and did not test the hypothesis. This research used a case study method, which was a form of research aimed at describing existing phenomena. The sampling technique used was purposive sampling and the respondent collection technique used was non probability sampling. The data obtained were analyzed quantitatively and descriptively. In addition, business analysis and SWOT analysis were also conducted to the data. The sample chosen in this research was Gemilang Minajaya Fish Farming Group of Tegal City. The results showed that Gemilang Minajaya Fish Farming Group of Tegal City with a pond area of 1,221 m2 was a vannamei shrimp producing area that was quite influential in Tegal City, with production volume from 2018 reaching 2,111.21 Kg. However, its farming activities had not fully met Best Management Practice (BMP), especially in the process of managing farming waste and the lack of green belt areas. It was suspected that the high organic matter in water quality was caused by the results of the farming waste. The condition that currently attacked vannamei shrimp was a white feces disease. From business analysis point of view, the income was Rp. 46,469,122/cycle with business efficiency (R/C ratio) of 148. Based on internal factor analysis, the greatest strength (S) was facilities and infrastructure (0.67) and external factor analysis showed that the biggest threat (T) was shrimp disease ( 0.76). The right alternative strategy was ST (Strengths-Threats) with a total score of 4.1 and the SWOT quadrant was in position II which was more likely to rely on existing strengths to take advantage of opportunities despite high threats. The alternative strategy used was to exploit the potential of existing land, optimize farm environmental factors to reduce threats of disease and establish cooperation with various fisheries stakeholders to establish green belt areas as an embodiment of sustainable and environmentally-friendly fisheries development.

The structure and content of business analysis in trade networks are determined. The principle of choosing critical indicators is proposed. The main stages of strategic analysis are determined. The key points of production analysis in retail are considered. The principles of the product range formation are stated. The main indicators for the analysis of human resources indicated. The importance of monitoring the level of labor productivity noted. The list of types of analytical activity of the advertising unit outlined. The issues of analysis in the enterprise security system are touched.

In article the questions connected with formation of methodical base of cost management and research of opportunities of her use in the «Cost-navigation» system are considered. Procedure of the choice of methods of cost management is also presented in article, areas of their effective use and tasks solved by means of these methods are considered. Development stages of the integrated «Cost-navigation» system are presented. Ensuring efficiency of this process with use of technology «Data Matrix» stroke coding is considered. Ability to integrate the studied methods into the «Cost-navigation» system which becomes a core of a cost management system. For descriptive reasons authors offer use of the hybrid analytical cards comprising various technologies and providing a possibility of symbiosis of traditional systems of the business analysis and the new approaches providing a possibility of high-performance work with continuously growing volumes of data, keeping them in random access memory.