Set Of Management Tools Research Articles

RGB‐based indices for estimating cover crop biomass, nitrogen content, and carbon:nitrogen ratio

AbstractPlant cover and biochemical composition are essential parameters for evaluating cover crop management. Destructive sampling or estimates with aerial imagery require substantial labor, time, expertise, or instrumentation cost. Using low‐cost consumer and mobile phone cameras to estimate plant canopy coverage and biochemical composition could broaden the use of high‐throughput technologies in research and crop management. Here, we estimated canopy development, tissue nitrogen, and biomass of medium red clover (Trifolium pratense L.), a perennial forage legume and common cover crop, using red‐green‐blue (RGB) indices collected with standard settings in non‐standardized field conditions. Pixels were classified as plant or background using combinations of four RGB indices with both unsupervised machine learning and preset thresholds. The excess green minus red (ExGR) index with a preset threshold of zero was the best index and threshold combination. It correctly identified pixels as plant or background 86.25% of the time. This combination also provided accurate estimates of crop growth and quality: Canopy coverage correlated with red clover biomass (R2 = 0.554, root mean square error [RMSE] = 219.29 kg ha−1), and ExGR index values of vegetation pixels were highly correlated with clover nitrogen content (R2 = 0.573, RMSE = 3.5 g kg−1) and carbon:nitrogen ratio (R2 = 0.574, RMSE = 1.29 g g−1). Data collection were simple to implement and stable across imaging conditions. Pending testing across different sensors, sites, and crop species, this method contributes to a growing and open set of decision support tools for agricultural research and management.

Development of a framework to track life safety levels of occupants in the event of a fire in buildings

ABSTRACT In the operational phase of buildings, tracking what modifications can have an impact on the expected facility performances through manual checks can be impractical, albeit very important from a facility management perspective. The transition from the traditional prescriptive method towards the performance-based approach for building design and management may facilitate quantitative assessment of performances and may lead to conscious decisions which includes preparedness in the event of emergencies. The main goal of this paper is to develop a framework, compliant with a Building Information Modelling (BIM) environment, to track fire safety performance levels, in terms of life safety of occupants. As long as this is done through the definition of Key Performance Indicators (KPIs) that are being tracked continuously, facility managers can have a comprehensive and updated overview of current performances of a facility. More specifically, a single representative KPI was set and evaluated for several fire scenarios, using a set of simulation and data management tools. The results of the assessment were processed and transformed into a visual representation, referenced to a grid superimposed over the building layout to quantitatively represent the safety of occupants at every point of the building. The results were then sent back and displayed into the BIM model, for seamless accessibility by facility managers. The proposed methodology was tested on a pilot building, assuming two fire scenarios. This approach enabled supervision of a building’s compliance with fire safety requirements, in terms of occupants’ life safety, throughout the building lifecycle.

A Complex of Management Tools to Overcome Differentiation of Region’s Spatial Development

A key direction of the state regional policy is sustainable socio-economic development of the regions of the Russian Federation. However, the solution of this issue is significantly complicated by a number of problems associated with the spatial heterogeneity of the country and further inequality in the level of socio-economic development of Russian regions. The relevance of this study is determined by the necessity to solve the problem of systematization of theoretical approaches to the description of mechanisms of socio-economic development of the subjects of the Russian Federation, aimed to overcome the spatial differentiation of territories by basic indicators. The object of the study is the regions of the Far Eastern and Siberian Federal Districts. The aim of the study is to develop the principles of systematization of tools for spatial development of the subjects of the Russian Federation depending on the level of differentiation of regions by basic principles. To achieve the aim, the authors used the following research methods: comparative analysis, empirical analysis, synthesis, statistical method, graphic research methods. Based on the comparative analysis of the existing causes of differentiation of spatial development of the subjects of the Siberian and Far Eastern Federal Districts, the objective and subjective factors of regional inequality were identified. The analysis of existing mechanisms of spatial development of the regions of the Siberian and Far Eastern Federal Districts revealed their insufficient efficiency in solving the problem of smoothing regional socio-economic inequality. The author’s approach to the formation of a set of management tools to overcome the differentiation of spatial development of regions on the example of the Siberian and Far Eastern Federal Districts on the basis of grouping the subjects according to the studied groups of basic indicators is proposed. The paper proposes the definition of individual characteristics of each subject of the Russian Federation as a basis for the formation of tools for spatial development of the region.

PECULIARITIES OF ANTI-CRISIS MANAGEMENT OF ENTERPRISES IN THE CONTEXT OF ECONOMIC INSTABILITY

The article focuses on identifying the peculiarities of anti-crisis management of construction industry enterprises as leading flagships of the country’s post-war reconstruction and its development in general. Considering the specifics of the analysed enterprise, namely, the peculiarities of its activity, the authors studied the financial indicators of its activity. A distinctive feature of the current period of development of the global and Ukrainian macroeconomy is the instability of the economic environment, and the crisis in the Western financial markets has intensified the development of the crisis in the Ukrainian economy. Under these conditions, many construction companies have found themselves in a crisis due to a decline in the effective demand of the population, customers, and investors. It necessitates adopting evidence-based policy decisions and further targeted actions to restore the lost potential and strengthen the basis for further sustainable development in the global market environment. However, necessary organisational and economic measures that form an enterprise crisis management system, allowing it to maintain a more stable financial position in a crisis, still need to be studied, which is the subject of further research. The set of tools for crisis management of a construction enterprise should include modern information technologies, crisis marketing technologies, analysis methods, and forecasting of the external environment. In crisis management, measures aimed at prompt prevention, response, and overcoming a crisis in modern economic conditions are carried out exclusively using modern information technologies. Based on the above, we can conclude that the main feature of crisis management of a construction company in a crisis is the increased complexity of the management process. It is necessary to make appropriate decisions simultaneously in all areas of the enterprise’s activity: financial stability, sales promotion, and work with clients, suppliers, and financial organisations. It is proved that the crisis is an indicator of the effectiveness of the enterprise and management decisions, which reveals weaknesses. Keywords: enterprise, construction industry, monitoring, financial condition of the enterprise.

REDCapDM: An R package with a set of data management tools for a REDCap project

BackgroundResearch Electronic Data CAPture (REDCap) is a web application for creating and managing online surveys and databases. Clinical data management is an essential process before performing any statistical analysis to ensure the quality and reliability of study information. Processing REDCap data in R can be complex and often benefits from automation. While there are several R packages available for specific tasks, none offer an expansive approach to data management.ResultsThe REDCapDM is an R package for accessing and managing REDCap data. It imports data from REDCap to R using either an API connection or the files in R format exported directly from REDCap. It has several functions for data processing and transformation, and it helps to generate and manage queries to clarify or resolve discrepancies found in the data.ConclusionThe REDCapDM package is a valuable tool for data scientists and clinical data managers who use REDCap and R. It assists in tasks such as importing, processing, and quality-checking data from their research studies.

Transparency of procurement management via the project management tools

Introduction. From a procurement perspective, it is of great importance to both ensure the relevant application of the core principles (such as openness, accountability, fulfillment of the core, scope, budget and time, etc.) within the necessary efforts to introduce project management capacities, essential to boosting public administrations potentials in embedding transparency. In this view, it is necessary to study this concept from a perspective concerning key procedural managerial activities that affect outcomes in the public procurement process. Although the concept of transparency has been well introduced into the public procurement domain, the issue of employing the project management tools requires deeper investigations. Purpose. The paper aims at analyzing the contemporary developments in the procurement process within the framework of project management from the point of view of possibilities to employ the project managements tools in the process of the public procurement, ensuring the provision for the additive impact of those additions on the supporting the underlying principle of transparency. Methodology. The results presented in this paper are based on a literature survey, where the bibliographical research, both descriptive and analytical, was the main research method, following the elements of the thematic analysis. Results. This paper aimed to explore ways to improve public procurement procedures adapting the elements of the project management approach at the different stages of the procurement. Results showed that, first, developing an appropriate set of project management tools is an effective method to improve public procurement activities, and ensuring transparency is the most critical factor of efficiency in this system. These results have provided several new insights in improving public procurement procedures via customization the project procurement procedure based on the scope and essence of projects, enhanced realignment of the roles and responsibilities of the procurement actors in planning, supervising, and controlling the activities, focusing on the critical controls to support the implementation of the procurement process by identifying the problems and taking immediate actions to realign activities taking into account the risks and uncertainties.

The role of farming systems in the adoption of pest management practices: the case of the oriental fruit fly Bactrocera dorsalis in mango orchards in Senegal

Description of the suject. In Africa, pest pressure has led researchers, policymakers, and international development stakeholders to develop and disseminate innovative pest management strategies. However, farmers reject some pest management strategies due to economic constraints, agronomic problems, or incompatibilities with their strategies, knowledge bases, and visions of desirable change. Objectives. In this paper, we study the pest management practices employed by mango producers from different farming systems against the fruit fly Bactrocera dorsalis, as well as the factors determining the level of engagement of these producers in managing this pest. Method. We surveyed 304 Senegalese mango growers affected by the invasive fruit fly Bactrocera dorsalis to understand which farming systems’ features could explain the adoption level of fruit fly management tools through multivariate data analysis. Results. Three types of farming systems characterized by a coherent set of varietal choices, orchard management, harvest practices, commercial outlets, and fruit fly management practices are identified: (1) Intensive farming systems supplying the export market with the variety Kent and using a large set of orchard management tools and harvest practices to eliminate fruit flies, (2) Extensive farming systems supplying various varieties of mangoes with a dominance of Kent to both export and domestic markets, with access to fruit fly management tools from public services, (3) Gathering farming systems characterized by zero-input, high varietal diversity, difficult market access, non-selective harvest practices, and fruit fly management rarely practiced. Conclusions. The farming systems form a gradient of increasing use of fruit fly management tools and inputs, access to extension services, and export market orientation. Their coexistence in the same territories significantly contributes to the inefficiency of the control measures against Bactrocera dorsalis. Our results support the premise that in Africa, the adoption of pest management tools is more deeply integrated into the practices of certain producers compared to others, due to internal and external factors influencing the operation.

Application of Lean Six Sigma to Reduce Delays in Engineering Changes

Quality methodologies have provided improvements for the organizations, increasing their competitive nature. Therefore, the present article was developed toward the reduction in the incidence of delays while developing engineering changes in an agricultural machine factory through the application of Lean Six Sigma concepts. An engineering change consists of a multitasking process for a product change. The article stages were developed following the sequence proposed by the DMAIC methodology. Several tools associated with Lean Six Sigma, such as process mapping, Ishikawa diagram, brainstorming, and Kanban were used in this article. Also, statistical tests were carried out to check the consistency of the goals established by the organization regarding the deadline for carrying out the analyzed tasks and for proposing new goals. The development of this article allowed the identification and elimination of root causality which culminated in delays during the implementation of engineering changes, and in turn, reduced the incidence of delays by 95%. The article shows the importance of companies applying scientific methodologies and statistical analysis in their processes to improve their results. Finally, it contributes to the scientific community, exposing an adaptation of tools and showing that the implementation of a set of management tools can contribute to process improvements.

NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query.

The biomedical research community is motivated to share and reuse data from studies and projects by funding agencies and publishers. Effectively combining and reusing neuroimaging data from publicly available datasets, requires the capability to query across datasets in order to identify cohorts that match both neuroimaging and clinical/behavioral data criteria. Critical barriers to operationalizing such queries include, in part, the broad use of undefined study variables with limited or no annotations that make it difficult to understand the data available without significant interaction with the original authors. Using the Brain Imaging Data Structure (BIDS) to organize neuroimaging data has made querying across studies for specific image types possible at scale. However, in BIDS, beyond file naming and tightly controlled imaging directory structures, there are very few constraints on ancillary variable naming/meaning or experiment-specific metadata. In this work, we present NIDM-Terms, a set of user-friendly terminology management tools and associated software to better manage individual lab terminologies and help with annotating BIDS datasets. Using these tools to annotate BIDS data with a Neuroimaging Data Model (NIDM) semantic web representation, enables queries across datasets to identify cohorts with specific neuroimaging and clinical/behavioral measurements. This manuscript describes the overall informatics structures and demonstrates the use of tools to annotate BIDS datasets to perform integrated cross-cohort queries.

СТРАТЕГІЇ УПРАВЛІННЯ ІНТЕГРАЦІЙНИМИ ВИРОБНИЧИМИ ЛАНЦЮГАМИ ЗА УМОВ ВПРОВАДЖЕННЯ ЦИФРОВИХ ІННОВАЦІЙ

The article analyzes the scientific development of the theory of networks and flows from the standpoint of using their methodological approaches to solve the problems of forming a strategy for managing the innovative potential of cluster associations and finding new ways of its practical implementation. Strategic directions of business clustering under the condition of its digitization should ensure legislative support, appropriate digital infrastructure, elimination of digital gaps compared to other sectors of the economy, creation of proper conditions for the use of network tools, digital security, availability of regulatory support for innovation and investment development of network structures. This approach made it possible to form a set of principles and a portfolio of technologies for the interaction of network and integration structures, as well as to develop a digital mode of socio-economic transformations of integration production networks as components of ensuring sustainable competitive advantages under the conditions of globalization challenges. Fundamental aspects include: creation of a digital environment in which interaction between participants takes place with the help of digital services; formation of a secure digital asset management system; moving from descriptive to predictive and then administrative analytics. Based on these principles, a set of methodological tools for strategic management of the potential of network associations was developed and the main stimulators of investment and innovation development of integration production chains were established; a scientific hypothesis was formed, according to which digital management of latent manifestations of positive cluster properties should become the basis for the sustainable development of business associations.

ANTI-CRISIS MANAGEMENT OF THE MARITIME INDUSTRY OF UKRAINE

The maritime sector is strategic and extremely important for the national economy. Ukraine has favorable conditions for the development of the maritime industry and a strong potential for the use of seaports. The industry is characterized by a high level of investment attractiveness, significant capacity for handling and transportation of goods, good opportunities to ensure the transit of goods flows and the development of the infrastructure of the coastal areas. All these opportunities have been lost during the last period due to the action of numerous crisis factors, the predominant of which were the factors of the external environment. The study of the set of factors that form threats to the stable development of the maritime industry of Ukraine is carried out in this article. The search for tools capable of leveling the effects of crisis phenomena was conducted here. The key indicators of the current state of development of the maritime industry in Ukraine have been analyzed. The main trends of changes in these indicators have been identified. The main problematic aspects of the development of the domestic maritime industry and seaports in the context of modern realities are systematized. The content of crisis and anti-crisis management, existing methodical paradigms of study and use in practice of anti-crisis management are studied. Based on the systematization of scientific sources, the main categories of crises in the maritime industry were identified. The characteristic features of the main model of seaport management in world practice are analyzed. The study of the methodical toolkit of anti-crisis management made it possible to substantiate the set of appropriate anti-crisis management tools. By their specificity, they can be used in the practice of managing the maritime industry and seaports. Among the most promising tools the following were proposed: use of innovations; creation of an information and analytical system of business diagnostics and risk management in the management system of maritime companies; anti-crisis corporate communications; activation of international cooperation and strengthening of integration ties; creation and use of modern seaport management models; digitization. Keywords: maritime industry, seaports, management, crisis, tools, risks, threats.

Analytical support for managing the economic sustainability of agricultural enterprises

The article highlights the components of analytical management of the economic sustainability of agricultural enterprises. It is highlighted that it is advisable to consider the analytical management of the sustainable development of agricultural enterprises in terms of management tools that provide it and methodical approaches to its evaluation. It has been established that a single methodical approach to the analysis of the economic sustainability of the enterprise has not been formed, and the necessity of using a complex of analytical procedures has been proven. It is argued that the formation of analytical support for the management of the economic sustainability of agricultural enterprises is expedient to use a comprehensive approach, which will include a set of various assessment methods and management tools. Approaches to the assessment of sustainability are summarized and a conclusion is made about the expediency of using a multi-criteria integral indicator that will ensure the achievement of the company's strategic goals. The tools of strategic analysis and the possibilities of their practical use in the aspect of ensuring the sustainable development of the enterprise are characterized. It is substantiated that conducting diagnostics of the economic state of the enterprise can be used both relatively simple methods and more complex multifactorial models that require the involvement of a large number of specialists from various fields, as well as the processing of a large array of primary information. Methodical approaches are identified, which provide for the formation of an algorithm of sequential actions for the development and adoption of the most rational decisions based on the consideration of numerous specific factors and conditions for achieving economic stability. The analytical model for assessing the economic sustainability of an agricultural enterprise includes the following actions: the selection of efficiency criteria and the formation of a system of evaluation indicators; analysis of the dynamics of external factors of its functioning environment, production, economic and financial indicators; establishment of the most characteristic and significant functional relationships; assessment of opportunities to ensure efficiency and competitiveness. It is substantiated that the main generalizing criteria of sustainability are: the ability of the business entity to resist the negative impact of an economic and natural nature; increasing opportunities to ensure expanded reproduction of production resources; ensuring a qualitative change in production, socio-economic, environmental parameters; development of preventive measures to prevent production decline. It has been proven that conducting a comprehensive analysis of the economic stability of the enterprise requires the calculation of an integral indicator by using the methods of average arithmetic, geometric, rating assessment, etc. using certain partial indicators. The main methods of assessing economic stability are highlighted: dynamic comparison, grouping method, methods of mathematical statistics (non-linear dynamics method, multidimensional statistical and factor analysis), matrix method. An algorithm for assessing the economic sustainability of agricultural enterprises is proposed and the components of the management toolkit are highlighted: management methods. Among the main methods of management, operational, optimization and regulatory approaches are distinguished, and the areas of their use are socio-ecological-economic, technical-technological and financial sustainability. Key words: management of economic sustainability, agricultural enterprise, socio-ecological-economic sustainability, technical-technological sustainability, financial sustainability, analytical toolkit.

ECONOMIC INSTRUMENTS OF STRATEGIC HOUSEHOLD WASTE MANAGEMENT

Introduction. The need to pursue more active government policy for the stimulation of waste processing is causedby the necessity to prevent those threats that arise unless an environment friendly and efficient waste management system is in place.Problem Statement. Ukraine demonstrates a low level of household waste recycling, which poses a hazard to theenvironment, quality of life, and health of the population of Ukraine. The measures identified in the National WasteManagement Strategy until 2030 can be implemented by combining the organization of separate collection of household waste with the revision of the existing incentives aiming at increasing the demand for secondary resources.Purpose. The purpose of this research is to generalize the causes of low amount and rates of processing ofhousehold waste and to develop a system of economic tools for the formation of supply and demand for household waste as main factors of effective strategic waste management.Material and Methods. Qualitative analysis and generalization of theoretical material, systematization ofeconomic tools of household waste management, economic and statistical analysis, and regression analysis have been used in this research. Results. A set of tools for strategic household waste management and changes in approaches to their formation have been proposed. The formation of waste management tariff should be based on the length of the waste management chain, the structure of the collected waste, the potential for its recycling, the revised methods for forming the tariff, organizing waste sorting, andamending the list of tax payers of environmental tax.Conclusions. The household waste management in Ukraine demonstrates certain stability of the waste processing structure and the absence of dynamic transformations in response to changes in the modern economy. It needs support, in particular, the revision of the set of economic tools for stimulating waste processing and organizational approaches to their implementation.

Aspects of the ecological and economic mechanism of balanced development of horticulture in the context of environmental safety

The article examines the aspects of improving the ecological and economic mechanism of balancing the development of horticulture in the context of environmental safety. It is substantiated that the functioning of the ecological-economic mechanism of management of nature-use processes is caused by the need to create conditions for the establishment and development of an ecologically oriented way of conducting economic activity of subjects of the national economy. It was determined that the influence of state authorities (subjects of the mechanism) on certain interests of economic subjects of the national economy (objects of the mechanism) is carried out by applying a certain set of management methods and tools. It has been proven that the strategic priorities of the development of horticulture in Ukraine are: increasing the quality parameters of production; bringing quantitative indicators to the level of ensuring domestic needs and increasing the share of fruit and berry exports; expansion of fruit and berry products sales markets; rational use of investment and material and technical resources; implementation of innovative and intensive technologies for growing perennial plantations; compliance with environmental requirements in the production process; deepening of territorial specialization; application of the model of regional organization of cluster-type relationships; structural restructuring of the organizational and economic mechanism of reproduction in the industry on an innovative basis.

Using a Provincial EMR Program to Increase Guideline Utilization in Diabetes

eDOCSNL (Newfoundland) is implementing a guidelines-based set of electronic medical record (EMR) tools for documentation and practice management. We will examine how an intuitive EMR tool set can influence guidelines-based practice and improve patient outcomes.

COMPARATIVE ANALYSIS OF POLITICAL PARTICIPATION IN THE CONTEXT OF THE SPREAD OF DIGITAL TECHNOLOGIES BASED ON THE STUDY OF THE EXPERIENCE OF THE UK AND KAZAKHSTAN

This article examines the role and impact of digital technology on political participation and development in countries such as the UK and Kazakhstan. Despite the decline in trust in traditional representative institutions and politicians, people are ready to participate in the public sphere. Digital technologies provide additional opportunities for expressing this involvement. Citizens participate in online conversations, consultations and discussions can contribute to the causes they support, share their opinion through digital platforms that help hold public institutions to account. The article also notes that digital transformation has offered a new set of tools for political management, contributing to its widespread use. Digital technologies also affect the political and civil society landscapes. Digital technologies offer ways to improve the quality of political governance in terms of accountability and responsiveness. Digitalization can offer public administration new channels for delivering quality services. The digitalization of public administration is driven by the political will to deliver better services while achieving cost effectiveness, but it is not without challenges: effective change is driven by end-user needs and must be accompanied by an enabling environment.

Online Application Guidance for Heterogeneous Memory Systems

As scaling of conventional memory devices has stalled, many high-end computing systems have begun to incorporate alternative memory technologies to meet performance goals. Since these technologies present distinct advantages and tradeoffs compared to conventional DDR* SDRAM, such as higher bandwidth with lower capacity or vice versa, they are typically packaged alongside conventional SDRAM in a heterogeneous memory architecture. To utilize the different types of memory efficiently, new data management strategies are needed to match application usage to the best available memory technology. However, current proposals for managing heterogeneous memories are limited, because they either (1) do not consider high-level application behavior when assigning data to different types of memory or (2) require separate program execution (with a representative input) to collect information about how the application uses memory resources. This work presents a new data management toolset to address the limitations of existing approaches for managing complex memories. It extends the application runtime layer with automated monitoring and management routines that assign application data to the best tier of memory based on previous usage, without any need for source code modification or a separate profiling run. It evaluates this approach on a state-of-the-art server platform with both conventional DDR4 SDRAM and non-volatile Intel Optane DC memory, using both memory-intensive high-performance computing (HPC) applications as well as standard benchmarks. Overall, the results show that this approach improves program performance significantly compared to a standard unguided approach across a variety of workloads and system configurations. The HPC applications exhibit the largest benefits, with speedups ranging from 1.4× to 7× in the best cases. Additionally, we show that this approach achieves similar performance as a comparable offline profiling-based approach after a short startup period, without requiring separate program execution or offline analysis steps.

A SPATIAL APPROACH TO THE MANAGEMENT OF THE ECONOMIC POTENTIAL OF THE ENTERPRISE IN THE CONDITIONS OF NEO-TECHNOLOGICAL UPDATE

The study is devoted to substantiating the principles of managing the economic potential of manufacturing enterprises in the conditions of neo-technological renewal using a spatial approach. The article substantiates that neo-technological renewal involves the intensification of the process of economic reproduction, which is achieved by fundamentally changing production processes due to the differentiation of labor, the transformation of scientific and technological potential into production power, creative approaches and rationalization of production. In the study, the economic potential of the production enterprise is considered as a certain system that has all the properties inherent in the system, which consists of a set of component subsystems whose effectiveness is greater than the effectiveness of their individual parts, and also has a unique structure for each enterprise, which ensures the development of the enterprise and the opportunity increasing competitiveness in the conditions of neo-technological renewal. It is substantiated that the economic potential of a manufacturing enterprise in the conditions of neotechnological renewal is determined by its real and latent opportunities in a certain sphere of economic activity, taking into account spatial features. It is noted that the management of the economic potential of the enterprise is a complex, continuous process aimed at achieving the set goals, through a flow of interrelated actions, that is, management functions related to the adoption of management decisions, various communication processes, the selection of tools for achieving the set goals, etc. It is proved that the spatial approach to the management of the economic potential of a manufacturing enterprise in the conditions of neo-technological renewal makes it possible: first, to clearly establish and structure a hierarchy of intermediate goals regarding the use of the economic potential of the enterprise for the purpose of its neo-technological renewal; secondly, to achieve interoperability of management functions with the use of latent capabilities due to a certain space of a component of a production enterprise; thirdly, flexibility to adapt to the performance of assigned tasks; fourth, to increase the set of economic potential management tools, which is determined by the nature of the identified goals of using the economic potential of the enterprise.

Will Data Protection Act Change the Use of Data in Indonesia Financial Services?

This data science examines a variety of data in order to aid humans in making complex decisions. This science aide’s management in making complex decisions. Artificial intelligence, machine learning, big data, and algorithms all fall under the category. Data science is growing in popularity as a result of the increasing reliance on technology by businesses such as social media companies and financial technology companies. Financial technology companies create applications that allow for the collection of consumer information. This information is transformed into a set of decision-making management tools. This information was easily obtained prior to the Personal Data Protection (PDP) Act’s enactment. This tool can assist management in becoming more efficient and effective in their operations. Additionally, this tool can be used to make complex management decisions, such as credit decisions for financial institutions and product marketing to consumers through appropriate advertising. The objective of this research is to examine use of data for business purposes after the enactment of the PDP Act. This study employs a descriptive and legal normative method. This research concludes that enacting the PDP Act will reduce the effectiveness of information processing. However, distinct information protection laws must be developed to improve consumer data protection. Additionally, public education about personal data protection needs to be strengthened. The PDP Act should regulate consumer protection issues and establish independent data protection institutions

Will Data Protection Act Change the Use of Data in Indonesia Financial Services?

This data science examines a variety of data in order to aid humans in making complex decisions. This science aide’s management in making complex decisions. Artificial intelligence, machine learning, big data, and algorithms all fall under the category. Data science is growing in popularity as a result of the increasing reliance on technology by businesses such as social media companies and financial technology companies. Financial technology companies create applications that allow for the collection of consumer information. This information is transformed into a set of decision-making management tools. This information was easily obtained prior to the Personal Data Protection (PDP) Act's enactment. This tool can assist management in becoming more efficient and effective in their operations. Additionally, this tool can be used to make complex management decisions, such as credit decisions for financial institutions and product marketing to consumers through appropriate advertising. The objective of this research is to examine use of data for business purposes after the enactment of the PDP Act. This study employs a descriptive and legal normative method. This research concludes that enacting the PDP Act will reduce the effectiveness of information processing. However, distinct information protection laws must be developed to improve consumer data protection. Additionally, public education about personal data protection needs to be strengthened. The PDP Act should regulate consumer protection issues and establish independent data protection institutions