Academic literature on the topic 'Oracle Cloud ERP'

Increased utilization of cloud-based solutions has redefined enterprise resource planning (ERP) systems, with Oracle Cloud ERP among the leading platforms. As organizations move core business functions to the cloud, secure access management to these systems gains significance. This paper addresses the significance of security roles and privileges in Oracle Cloud ERP, emphasizing crucial strategies for secure access management. Here, it examines the processes Oracle Cloud ERP employs to assign, monitor, and audit user access to safe data and minimize threats. Through the examination of role-based access control (RBAC), the paper establishes how security privileges and roles are consistent with best practices for ensuring that only authorized employees gain access to sensitive organizational data. Moreover, this paper discusses the impact of secure access management on the broader picture of Oracle's cybersecurity needs and how it helps to ensure risk and audit compliance. It highlights how Oracle's compliance features, such as audit trails and access logs, enable compliance with numerous regulations, for instance, GDPR, HIPAA, and SOX. The paper also discusses how these security controls play a crucial role in avoiding insider threats, external breaches, and system vulnerabilities. Finally, the article cites the advantages Oracle Cloud ERP has in managing security threats effectively, closing compliance gaps, and ensuring overall security posture through active access management and audit processes. The research states that proper access management practices in Oracle Cloud ERP are not only essential for complying with cybersecurity regulations but also for making environments transparent, audit-ready, and so much more. This article applies industry reports, security studies, and authoritative sources to provide an unbiased view of the topic.

The dynamics of enterprise resource planning (ERP) systems have revolutionized the manner in which organizations manage procurement processes. Oracle ERP Cloud, being one of the leading cloud-based software solutions, has ushered in advanced features that enhance procurement activities via automation, integration, and artificial intelligence (AI)-informed decision-making. This journal addresses the significant contribution of Oracle ERP Cloud applications to optimizing procurement strategies through business ability to automate procurement processes, reduce operation costs, and accelerate procurement cycle times. Levying on automated processes, AI-driven insights, and real-time data integration, companies can make better and faster procurement decisions. The journal points out meaningful features of Oracle ERP Cloud that drive automation, such as supplier collaboration portals, intelligent demand forecasting, and automated purchase order processing. In addition, the integration of machine learning and AI tools in Oracle's cloud platform enables predictive analytics, which allows procurement teams to identify potential disruptions, enhance the performance of suppliers, and steer clear of risks. From industry case studies and prior research, based on developments up to October 2020, this paper provides the actual benefits of deploying ERP cloud solutions for procurement, such as improved supplier relationship management, cost advantages, and improved decision-making capabilities. With more businesses embracing digital transformation, Oracle ERP Cloud is a major driver of efficient, integrated, and low-cost procurement operations, setting new benchmarks in procurement automation and innovation.

ERP systems are now the digital backbone of today's businesses, enabling centralized control of business processes across departments. With the swift pace of digital transformation, the shift from legacy, conventional ERP to advanced technology such as Oracle ERP Cloud has taken the highest priority among organizations to foster agility, timely insights, and operational efficiency. This journal assesses the strategic imperative of Oracle ERP migration in overall digital transformation, with particular focus on best practices that ensure safe transition and effective system integration. The research puts forward a step-by-step ERP migration process with salient phases such as readiness assessment, data cleaning, stakeholder alignment, process reengineering, and phased deployment. The research analyzes Oracle's unique strengths scalable cloud architecture, embedded analytics, and AI-powered automation–and how they support digital goals such as improved user experience, compliance, and cost savings. The journal also identifies common integration challenges, which include legacy system compatibility, data migration complexity, resistance to change, and cross-functional coordination. The strategies in surmounting these threats are discussed in depth, some of which include embracing middleware solutions, effective change management frameworks, hybrid cloud strategies, and leveraging Oracle Integration Cloud in attaining seamless connectivity. This study contributes to the ERP modernization debate by presenting a realistic handbook for decision-makers, IT leaders, and enterprise architects orchestrating multi-year ERP overhauls. It reinforces that successful Oracle ERP migration involves more than just a technical makeover; it is a transformational process that must be aligned with strategic business objectives and future-ready digital capabilities.

ERP systems (Enterprise Resource Planning) provide companies with software that combines functional pieces with a focus on the processes.This study aims to determine the effect of usability of the Oracle Cloud ERP System on the effectiveness of its implementation at PT. Bumi Sarana Utama in Indonesia. The design of this study is to use a quantitative approach. In this study there are two variables, namely the dependent variable and the independent variable. The population in this study are food and beverage industry companies. The sampling method used is random sampling. Data collection was carried out using library research and field research. Data analysis was performed using multiple linear regression analysis using the SPSS 23.0 system. The results of this study indicate that (1) There is a positive and significant effect on learnability variables on the implementation of the Oracle Cloud ERP system at PT. Bumi Sarana Utama. (2) There is a positive and insignificant effect on the efficiency variable on the implementation of the Oracle Cloud ERP system at PT. Bumi Sarana Utama. (3) There is a positive and insignificant effect on the memorability variable on the implementation of the Oracle Cloud ERP system at PT. Bumi Sarana Utama. (4) There is a positive and insignificant effect on the error variable on the implementation of the Oracle Cloud ERP system at PT. Bumi Sarana Utama. (5) There is a positive and not significant effect on the satisfaction variable on the implementation of the Oracle Cloud ERP system at PT. Bumi Sarana Utama

Enterprise Resource Planning (ERP) systems have long been the backbone of organizational operations, integrating various business processes into a unified system. With the evolution of cloud computing, traditional on-premises ERP solutions are increasingly being challenged by cloud-based alternatives such as Oracle Cloud ERP. This study presents a comprehensive comparison between Oracle Cloud ERP and on-premises ERP systems, focusing specifically on financial functionalities and integration capabilities. The objective is to evaluate how these two deployment models differ in terms of implementation cost, scalability, maintenance, real-time data access, and ease of integration with third-party applications and other enterprise systems. The research draws on industry reports, case studies, and user feedback to identify key performance indicators and operational metrics. Findings reveal that Oracle Cloud ERP offers advantages in agility, cost-effectiveness, and seamless integration, making it particularly suitable for dynamic and rapidly scaling businesses. Conversely, on-premises ERP solutions offer more control, customization, and security, which can be essential for highly regulated industries or organizations with complex legacy systems By systematically analyzing both systems, this study aims to assist decision-makers in choosing the ERP deployment model that aligns with their strategic goals and operational demands. The paper concludes that while cloud ERP systems like Oracle are gaining popularity, the optimal choice depends on an organization’s unique requirements, industry standards, and long-term digital strategy.

The migration of large organizations to Oracle Cloud ERP represents a strategic shift towards modernizing enterprise resource planning systems. However, a significant challenge arises when these organizations continue to rely on Oracle E-Business Suite (EBS) for financial reporting. This article explores the intricacies involved in transferring journal entries from Oracle Cloud ERP to Oracle EBS, a critical step for maintaining seamless financial operations. The primary challenges include Chart of Accounts mapping, business entities mapping data compatibility, integration complexities, and maintaining data integrity across platforms. To address these issues, the article outlines a series of best practices, including the implementation of robust middleware solutions, comprehensive data mapping strategies, and rigorous validation processes. By adopting these strategies, organizations can ensure a smooth transition, maintaining the accuracy and reliability of their financial reporting while leveraging the advanced capabilities of Oracle Cloud ERP.

Master Data Management (MDM) plays a crucial role in ensuring data accuracy, consistency, and accessibility across an organization, especially within complex systems like Oracle Cloud ERP. Optimizing MDM in Oracle Cloud ERP involves implementing best practices that align with the organization's data governance strategies while improving operational efficiency. This paper explores various best practices for MDM within Oracle Cloud ERP, emphasizing data quality, integration, and governance frameworks. It delves into the importance of establishing clear data ownership, setting data stewardship protocols, and maintaining centralized data repositories to streamline data flows across departments. The paper also highlights case studies of organizations that have successfully implemented MDM strategies within Oracle Cloud ERP environments. These case studies offer valuable insights into overcoming challenges such as data silos, inconsistent data standards, and the complexities of migrating data to the cloud. Additionally, the study examines the use of automation tools, data validation techniques, and advanced analytics in enhancing the effectiveness of MDM. The role of machine learning and artificial intelligence in optimizing data management is also explored, showcasing how these technologies can drive smarter decision-making and improve data governance. In conclusion, this paper provides a comprehensive overview of the best practices for optimizing MDM in Oracle Cloud ERP, presenting actionable strategies and real-world examples that can assist organizations in leveraging their data assets for improved business outcomes. By adopting these practices, organizations can ensure better data integrity, streamline operations, and enhance decision-making capabilities.

Background: This research paper discusses a detailed exploration of Amazon's adoption of Oracle ERP Cloud, focusing on the strategic benefits of the implementation and the challenges and wider implications of implementing cloud-based ERP solutions within one of the world's largest and most complex enterprises. Further, it is detailed how, through a strict selection process, Amazon was led to settle for Oracle ERP Cloud from several leading ERP systems in the market. It also brings forth the criteria and evaluations at hand that guided this decision-making. Method: This technique focuses on the phased rollout strategy, showing how Amazon brought the ERP system incrementally across departments, beginning with finance and procurement. It underlines the important role played by cross-functional teamwork, depicting efforts between finance, supply chain, HR, and IT teams to smooth implementation. Results: The study shows how deep technologies such as AI, machine learning, the Internet of Things, and blockchain are integrated into the ERP system. These go a long way to increase the decision-making ability and better operation of security, with improved transparency in Amazon; they provide it with real-time analytics, predictive insights, and improved transparency. Conclusion: Implementing Oracle ERP Cloud at Amazon sheds light on how scalable and cost-efficient cloud-based ERP solutions are. The availability of real-time data access and advanced analytics has spurred data-driven decision-making, but issues such as data migration and security require careful consideration in the planning process. This work provides valuable insights for enterprises seeking to implement similar ERP systems.

Cloud-based Enterprise Resource Planning (ERP) systems have revolutionized how organizations manage their financial operations, data governance, and compliance requirements. Among the leading solutions, Oracle Financials Cloud, when integrated with Master Data Management (MDM) systems, offers unparalleled capabilities in automation, real-time analytics, and financial control. This review presents a comprehensive examination of Oracle Financials Cloud architecture, MDM integration, implementation strategies, and empirical performance outcomes across industries. Drawing from over a decade of research and practical deployments, the paper identifies critical success factors, common pitfalls, and emerging trends shaping the ERP landscape. The review concludes with strategic insights for future research and practical innovations in Cloud ERP systems, particularly as artificial intelligence (AI), data governance, and sustainability become increasingly central to enterprise technology roadmaps.

This study explores the influence of cloud integration, business process automation, and ERP system optimization on improving organizational efficiency, with a focus on strategic management practices in the healthcare and diagnostics sector. The objective is to assess how management-led implementation of Oracle Fusion Cloud technologies—such as OIC, BI, SOA Suite, and ERP modules supports financial and supply chain operations, decision-making, and digital transformation at Labcorp, Durham, NC. A qualitative case-based approach was adopted using structured interviews and documentation analysis from a sample of 300 IT managers, ERP developers, and operations staff involved in Oracle Cloud integrations at Labcorp. Findings indicate that cloud integration significantly enhances real-time data visibility and system interoperability; process automation streamlines workflows, reducing manual errors and response time; while ERP optimization ensures resource alignment with business goals. The study reveals that technological upgrades must be embedded within a managerial framework that supports change management, staff training, and performance evaluation. The results underline the role of ERP developers as strategic partners in enabling process innovation.

This diploma thesis focuses on the problematics of providing ERP in Cloud. The main objectives of this thesis lie in either identification of the situation in the ERP market, provision of an outline of particular deployment models, evaluation of strong and weak parts of ERP in cloud in contractor's and customer's point of view and in charting of potential risks and chances for the area. Obtained theoretical findings are utilized in the practical part of the thesis. Its significant portion is dedicated to proposition of methodology for the selection of right ERP model supply. This is then used for the particular choice of Oracle JD Edwards implementation. To achieve these objectives author realizes an analysis of electronic and printed resources as well as consultations with experts and also uses his own practical experiencies from Algotech Corporation. The main contribution of this thesis is in the creation of comprehensive sum of problematics and in the formation of methodology for the right type of deployment selection. This is all considering the further application and verification on the example. Thesis is divided into five theme parts -- ERP, Cloud, ERP in Cloud, methodology and practical setting of the presented methodology.

The tutorial discusses the design features of information systems (is) involved in the implementation of CALS technologies: MRP/MRPII/ERP systems, e-Commerce systems (B2B), supply chain management (SCM), customer relationship management (CRM), and decision support systems (OLAP). The issues of choosing the design technology, software tools for project development, building functional and information models in the environment of Business Studio, MS Visio, Elma, AllFusion Modeling Suite and Oracle Designer 10g, as well as the development of technical and operational documentation are highlighted. The characteristics of CASE technologies and their implementation in the Oracle Designer 10g environment are considered. A comparative analysis of the standards of the organization of the life cycle of creating and using IP, practical recommendations for the development of standard profiles, examples of the development of an IP project based on a cascading model of the life cycle, including using a process approach in the management and automation of processes. The models of the client — server architecture and the structure of cloud computing are considered. Modern approaches to the selection of ready-made is and their implementation in automated enterprises are studied in detail.
 Meets the requirements of the Federal state educational standards of higher education of the latest generation.
 It is intended for students (bachelors and specialists) and masters of higher educational institutions studying in the direction of "Applied Informatics". It is also recommended for teachers and specialists working in the field of information technology.

Intellectual capital was studied as a key driver of enterprise development in the digital economy, risks and reserves of the use of intellectual capital of enterprises were identified, priority guidelines for the formation of intellectual capital were defined and substantiated, and appropriate measures, strategies, and solutions were proposed. The purpose of our research is to clarify the essence, signs and functions of intellectual capital as a source of development of enterprises in the conditions of the digital economy, to identify risks and reserves of the use of intellectual capital of enterprises in conditions of dynamic instability, and to substantiate priority guidelines the formation of intellectual capital for the post-war recovery and development of enterprises in the conditions of the digital economy. Methodology. The theoretical and methodological basis of the research was general scientific and special methods of understanding economic phenomena and processes, fundamental provisions of economic theory, innovation and enterprise management theory, general scientific principles. To achieve the defined goal, the method of deduction was used (for the formation of the logical structure of the work in the interdependence and interrelationship of its constituent parts with the subject, object, goal and tasks of the research), the method of induction (for the formation of general conclusions of the conducted research), the method of scientific abstraction and theoretical generalization – to identify the economic essence of intellectual capital, the dialectical method – to study the evolution of approaches, the method of expert evaluations – to identify trends in the development of the intellectual capital of enterprises, the method of comparison, ranking and hierarchies – to substantiate the priority guidelines for the formation of intellectual capital for post-war reconstruction and development of enterprises in the conditions of the digital economy. Results. Based on the generalization of the concept of intellectual capital, its key features and functions in the conditions of the digital economy are clarified. It was found that intellectual capital acts as a source of development of enterprises in the conditions of the digital economy and becomes a critically important asset for enterprises and plays an important role in their development, as it contributes to innovation, adaptability, flexibility and increased competitiveness. It has been established that the development of intellectual capital on the basis of increasing competences, digitalization, social responsibility and inclusion should be an adequate response to the current challenges of domestic enterprises, which will help to respond adequately and promptly to all surprises based on appropriate management decisions based on forecasts, optimization, new value orientations, justified choice of strategic alternatives. It was revealed that the intellectualization of the activities of enterprises in the conditions of the digital economy is a complex and multifaceted process, which is influenced by many different factors. Factors acting in interaction with each other and risks and threats affecting the use of intellectual capital by the enterprise are considered. Conducted research and surveys of managers and specialists of domestic enterprises made it possible to identify reserves and opportunities for the development of intellectual capital. Practical implications. It is argued that increasing the social responsibility of the enterprise can significantly activate its development, since such a strategy allows strengthening the reputation, attracting new customers and employees, as well as building stable relations with partners and society. Several strategies have been proposed that can help in achieving this goal. It has been established that the formation of an inclusive culture of an enterprise is an important step to intensify its development, as an inclusive culture not only contributes to greater employee involvement, but also provides a diversity of opinions and ideas, which generates creative innovations, additional competitive advantages and increases productivity. Measures have been developed that will help in the formation of an inclusive culture at the enterprise. It has been determined that for the post-war recovery and development of enterprises in the conditions of the digital economy, to increase the intellectualization of their activities, it is advisable to foresee the introduction and use of modern digital technologies and tools for optimizing processes, improving management and increasing efficiency (ERP, SAP, Oracle, Microsoft Dynamics, Salesforce, HubSpot, Zoho CRM, Power BI, Tableau, Google Analytics, RPA, UiPath, Automation Anywhere Amazon Web Services, Microsoft Azure, Google Cloud Trello, Asana, Jira Slack, Microsoft Teams, Zoom Norton, McAfee, Cisco Security, AI, IoT) . The implementation of the outlined digital tools will help enterprises to become more adaptive, efficient and able to respond more quickly to market fluctuations and develop more actively. Value/originality. It has been established that the intellectualization of the company's activities in the digital economy opens up a wide range of advantages and opportunities that can significantly improve its efficiency and competitiveness in the conditions of fierce competition and rapid changes. Based on the conducted research, for the post-war recovery and development of enterprises on the platform of intellectual capital, in the conditions of the digital economy, the priority guidelines are substantiated and the necessary tasks and measures for their implementation are outlined.