Relevant bibliographies by topics / Enterprise Data Strategy

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Enterprise Data Strategy'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Enterprise Data Strategy"

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Teng, Haiyun. "Impact of Consumer Data Value on Pricing of Platform Enterprise." Frontiers in Humanities and Social Sciences 4, no. 1 (2024): 117–27. http://dx.doi.org/10.54691/wztmrh76.

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Based on the background of digital economy, this paper mainly discusses the value of consumer data and the promotion effect of digital finance on enterprise entre-preneurship, and analyzes the differentiated choice of pricing strategy for platform enterprises under the situation that consumer data is known and unknown. Based on the linear city model, circular city model and vertical differentiation model, this paper constructs the competition system of platform enterprises in two situations: consumer data is known and consumer data is unknown, and reveals the influence of consumer data on the
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Yan, Xianguo, Ajun Cui, Yifei Li, Zhijun Li, and Rui Guo. "Exploration of performance appraisal Strategy based on Big data and enterprise Development investigate." Advances in Economics and Management Research 6, no. 1 (2023): 130. http://dx.doi.org/10.56028/aemr.6.1.130.2023.

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In recent years, the reform of the power system structure has gone deeper and deeper, and the national reform goals of "legal basis, separation of government and enterprise, subject regulation, fair trade, reasonable price and effective supervision" are also being implemented step by step. In the process of the rapid development of the system architecture of electric power enterprises, many private enterprises have also joined in the complicated market competition. The challenge of power grid status also means that it is necessary to carry out internal exploration to effectively meet the marke
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Matai, Puneet. "The Data - Driven Advantage - Crafting an Effective Enterprise Data Strategy for Financial Institutions." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 1846–48. http://dx.doi.org/10.21275/sr24731194633.

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Xu, Yinghui, Xi Chen, Chuang Li, Lianzhu Ge, Haiyan Zhao, and Tianying Jiang. "Enterprise data security compliance strategy: A study based on typical cases." SHS Web of Conferences 157 (2023): 03015. http://dx.doi.org/10.1051/shsconf/202315703015.

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Data security compliance management is the fundamental premise that data application does not infringe on the interests of countries, enterprises and individuals. It is an important foundation for realizing the driving role of data elements. Based on the data security compliance management practices of typical enterprises at home and abroad, this paper summarizes the excellent practices of leading demonstration enterprises, and proposes six key strategies for enterprise data security compliance, including classification of typical data application scenarios, analysis of key links of data secur
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Chen, Tian, Tingyu Ran, and Rui Yang. "The Influence of Entrepreneur Characteristics on Business Development." Highlights in Business, Economics and Management 4 (December 12, 2022): 116–26. http://dx.doi.org/10.54097/hbem.v4i.3437.

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The rationality of enterprise decision-making is the guarantee for the sustainable development of the enterprise, which also determines whether the enterprise can survive during the major crisis. As leaders of enterprises, entrepreneurs have an important influence on the development of enterprises and different characteristics of entrepreneurs will directly affect the development of enterprises as well. By collecting a large amount of data and using the research method of grounded theory, this paper uses Nvivo11 qualitative analysis software to systematically analyze the personal characteristi
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Morozova, Marina A., and Artur A. Azarov. "ANALYSIS OF A SERVICE STRATEGY FOR MANAGING BIG DATA IN SME." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/5, no. 141 (2023): 148–57. http://dx.doi.org/10.36871/ek.up.p.r.2023.12.05.018.

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Goal. The use of big data technology can significantly improve the efficiency of enterprise management and strengthen its viability. The development of the Internet based on the use of big data technologies is an effective means to overcome the financial problems faced by small and medium-sized enterprises. Service platforms using new information technologies such as the Internet, big data and the sharing economy have unique service advantages that can provide cost savings due to the scale and volume of services provided. Such platforms are of great practical importance for the healthy and rap
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Wang, Kang. "Dilemma and innovation countermeasures of enterprise marketing under the background of big data and Internet of Things." Journal of Computational Methods in Sciences and Engineering 24, no. 6 (2024): 3420–33. https://doi.org/10.1177/14727978241295901.

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This paper studies the dilemma and innovation countermeasures of enterprise marketing under the background of big data and Internet of Things. Through questionnaire survey and simulation data analysis, it is found that the development of big data and Internet of Things technology has brought new opportunities and challenges to enterprise marketing. Enterprises should make full use of new technologies, improve the precision of marketing, build a multi-channel and integrated marketing model, strengthen internal collaboration and innovation capabilities, and optimize policies, regulations, and in
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Chandra Sekhara Reddy Adapa. "Cloud-based Master Data Management: Transforming Enterprise Data Strategy." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 1057–65. https://doi.org/10.32628/cseit25112436.

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Cloud-based Master Data Management (MDM) solutions are revolutionizing how organizations handle critical data assets in today's rapidly evolving digital landscape. These solutions offer enhanced scalability, flexibility, and real-time access capabilities that traditional on-premises systems struggle to match. By leveraging advanced technologies such as artificial intelligence, machine learning, and microservices architecture, cloud-based MDM enables organizations to achieve superior data quality, improved operational efficiency, and better business outcomes. The integration of blockchain techn
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Nan, Haoran, and Min Hu. "Corporate Marketing Strategy Analysis with Machine Learning Algorithms." Wireless Communications and Mobile Computing 2022 (August 28, 2022): 1–13. http://dx.doi.org/10.1155/2022/9450020.

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In the continuous development of Chinese enterprises, the ability to use reasonable and scientific marketing strategies is directly related to the economic benefits and social development of the whole enterprise and even society. This paper explains the importance of standardized enterprise marketing strategies based on machine learning, and on the basis of grasping the characteristics of large capacity, variety, fast flow, and high value of big data, this paper outlines and analyzes the problems that generally exist in China’s enterprises in machine learning-based marketing, so as to provide
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Wu, Siqi, Yichuan Zhu, and Yanan Li. "Research on credit strategy of small, medium, and micro enterprises based on commercial banks." BCP Business & Management 22 (July 15, 2022): 280–85. http://dx.doi.org/10.54691/bcpbm.v22i.1240.

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In order to help banks formulate Credit Strategies for small, medium-sized and micro enterprises, this paper analyzes enterprises from two aspects. On the one hand, starting from the enterprise's data and from the enterprise's relevant data, including qualitative indicators such as reputation level, invoice information, credit record and operating income, a model is established to quantitatively analyze the operation status and reputation status of the enterprise. On the other hand, through the analysis of the "maximum lending rate" and "maximum lending rate" of the bank, we can analyze the "m
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Dissertations / Theses on the topic "Enterprise Data Strategy"

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Rifaie, Mohammad. "Strategy and methodology for enterprise data warehouse development : integrating data mining and social networking techniques for identifying different communities within the data warehouse." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4416.

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Data warehouse technology has been successfully integrated into the information infrastructure of major organizations as potential solution for eliminating redundancy and providing for comprehensive data integration. Realizing the importance of a data warehouse as the main data repository within an organization, this dissertation addresses different aspects related to the data warehouse architecture and performance issues. Many data warehouse architectures have been presented by industry analysts and research organizations. These architectures vary from the independent and physical business un
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Petkovic, Nikola. "RefStratERP – A Refactoring Strategy for ERP Systems." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-227810.

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Enterprise Resource Planning (ERP) systems are used to integrate all functions of an enterprise. They often evolve from a smaller monolithic object-oriented application, covering one functional area and organically grow over time in features and size until all functional areas are covered. Once they reach certain size, unrestricted dependencies among numerous classes increase complexity of the system and make it harder for development team to create new features and maintain code stability. This creates problems to further evolution of the ERP system and poses a risk to economic consequences f
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Kitahara, José Renato. "Responsabilidade social empresarial e desempenho financeiro das empresas: evidências do Brasil." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/12/12139/tde-09102012-181822/.

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Enquanto a Administração de Empresas evoluiu muito no último século e trouxe vasto ferramental aos gestores de empresas, o tema da Responsabilidade Social Empresarial (RSE) não acompanhou essa evolução e ainda não dispõe de conceitos sólidos e ferramental de apoio aos gestores. Isso justifica o presente estudo, que objetiva identificar, empiricamente, o comportamento das empresas que operam no Brasil, referente aos seus investimentos em ações de RSE e suas relações com o Desempenho Financeiro (DF), com base na Receita Líquida (RL) e no Resultado Operacional (RO). A partir de uma amostra de 206
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Louw, Andries Barnabas. "Tools for the revision of a maintenance strategy for an explosives manufacturing plant, using asset management principles / A.B. Louw." Thesis, North-West University, 2009. http://hdl.handle.net/10394/3835.

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The research topic is: Tools for the revision of a maintenance strategy for an explosives manufacturing plant, using asset management principles. This research has specific reference to the SASOL Prillan plant based in SASOL, Sasolburg. The purpose of this research is to identify tools for the revision of a maintenance strategy for an explosives manufacturing plant, using asset management principles. These tools must be aimed to increase the proactive work capacity index, Figure 3, and to identify and/or develop tools that can be used by the engineering team of this explosives manufacturing pl
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Höcker, Filip, and Finn Brand. "‘Data over intuition’ – How big data analytics revolutionises the strategic decision-making processes in enterprises." Thesis, Internationella Handelshögskolan, Jönköping University, IHH, Företagsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48560.

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Background: Digital technologies are increasingly transforming traditional businesses, and their pervasive impact is leading to a radical restructuring of entire industries. While the significance of generating competitive advantages for businesses utilizing big data analytics is recognized, there is still a lack of consensus of big data analytics influencing strategic decision-making in organisations. As big data and big data analytics become increasingly common, understanding the factors influencing decision-making quality becomes of paramount importance for businesses. Purpose: This thesis
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Hoffman, A. R. "Information technology decision making in South Africa : a framework for company-wide strategic IT management." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/15854.

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Includes bibliography.<br>The area of interest in which this Study is set is the linking of a company's business strategies with its strategic planning for IT (information technology). The objectives of the Study are: to investigate how the IT planning environment is changing for business enterprises in South Africa; to establish how successfully South African companies are managing IT strategically; to propose a new approach to strategic IT decision making that will help South African management deal with the major issues; to propose a way of implementing the approach. In Chapter 2, conclusio
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IDOWU, HAKEEM ADEWALE. "Strategic Dilemma With ERP System Implementation : Enterprise vs Consultant Perspective." Thesis, Jönköping University, JIBS, Business Informatics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-9614.

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<p>Over the past few years and up to date, many companies around the globe have implemented Enterprise Resource Planning (ERP) systems. Implementing ERP system in an organisation is considered as an irresistible challenge, with the typical ERP system implementation approach. In correspondent, management in an organisation are facing critical challenges' to make decision on a specific ERP system implementation strategy, however, any considered decision would influence development, testing and ultimately the success of the implementation. Therefore, this thesis aims to examine solution to how or
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Kořínek, Tomáš. "Data v sociálních sítích a jejich využití malými a středními podniky." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-162497.

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This diploma thesis focuses on data included in social networking sites. It also evaliuates the possibilities of using such data from small and medium enterprises (SME) point of view. The first part of the thesis describes the context of social networking sites (SNS). Further it explores structures in which SNS data persist and conditions to be met when loading the data. The first part incorporates an overview of basic actions to be peformed when starting using the data. The second part of this thesis is more focused on usage of the data. It offers a detailed overview of cases of use in terms
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GAMMOH, DIALA. "ENTERPRISE BUSINESS ALIGNMENT USING QUALITY FUNCTION DEPLOYMENT, MULTIVARIATE DATA ANALYSIS AND BUSINESS MODELING TOOLS." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3012.

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This dissertation proposes two novel ideas to enhance the business strategy alignment to customer needs. The proposed business alignment clock is a new illustration to the relationships between customer requirements, business strategies, capabilities and processes. To line up the clock and reach the needed alignment for the enterprise, a proposed clock mechanism is introduced. The mechanism integrates the Enterprise Business Architecture (EBA) with the House of Quality (HoQ). The relationship matrix inside the body of the house is defined using multivariate data analysis techniques to accurate
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Dlamini, Khulekani Enock. "Impact of data quality on utilisation and usefulness of integrated Human Resources Information Systems (HRIS)." Thesis, University of Western Cape, 2012. http://hdl.handle.net/11394/3375.

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Magister Commercii - MCom<br>Impact of data quality on utilisation and perceived usefulness of integrated Human Resources Information Systems (HRIS). Integrated HR Information systems have become prevalent in modern organisations. These systems promise operational efficiencies and competitive advantage. In order to deliver these benefits, the systems should be effectively utilised and perceived as a useful business tools. The utilisation and perceived usefulness of the HRIS could be influenced by quality of data it produces. The objective of this study was to investigate the impact of data qu
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Books on the topic "Enterprise Data Strategy"

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George, James A. Smart data: Enterprise performance optimization strategy. John Wiley & Sons, 2010.

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Sah, Prakash. Defining Enterprise Data and Analytics Strategy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5719-2.

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1952-, Rodger James A., ed. Smart data: Enterprise performance optimization strategy. John Wiley & Sons, 2010.

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George, James A. Smart data: Enterprise performance optimization strategy. John Wiley & Sons, 2010.

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George, James A. Smart data: Enterprise performance optimization strategy. John Wiley & Sons, 2010.

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George, James A. Smart data: Enterprise performance optimization strategy. John Wiley & Sons, 2010.

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M, Vetter. Strategy for data modelling: Application- and enterprise-wide. Wiley, 1987.

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Ghernaouti-Hélie, Solange. Enterprise networks and telephony: From technology to business strategy. Springer Verlag, 1998.

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Luckham, David C. Event processing for business: Organizing the real time strategy enterprise. Wiley, 2012.

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Ghernaouti-Hélie, Solange. Enterprise Networks and Telephony: From Technology to Business Strategy. Springer London, 1998.

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Book chapters on the topic "Enterprise Data Strategy"

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Sah, Prakash. "What Is Data and Analytics Strategy." In Defining Enterprise Data and Analytics Strategy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5719-2_1.

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Sah, Prakash. "First Element of Strategy—Business Capabilities." In Defining Enterprise Data and Analytics Strategy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5719-2_2.

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Sah, Prakash. "Second Element of Strategy—Technology and Architecture." In Defining Enterprise Data and Analytics Strategy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5719-2_3.

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Sah, Prakash. "Fifth Element of Strategy—Value Measurement Framework." In Defining Enterprise Data and Analytics Strategy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5719-2_6.

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Sah, Prakash. "Fourth Element of Strategy—Organizational Change Management." In Defining Enterprise Data and Analytics Strategy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5719-2_5.

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Sah, Prakash. "Third Element of Strategy—Team, Processes, and Governance." In Defining Enterprise Data and Analytics Strategy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5719-2_4.

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Sah, Prakash. "The Profile of a Data and Analytics Leader." In Defining Enterprise Data and Analytics Strategy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5719-2_7.

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Han, Shengzong, Chenglong Li, Peng Li, Mei Zhao, and Na Liu. "Enterprise Marketing Strategy Based on Data Mining Technology." In Cyber Security Intelligence and Analytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97874-7_45.

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Na, Xiao. "Research on Enterprise Marketing Education Strategy Based on Data Mining Technology." In Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23944-1_7.

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Matiukh, Serhii, Yevhenii Rudnichenko, and Nataliia Havlovska. "Modeling of the Strategy of Light Industry Enterprise Behavior under Crisis Conditions of Martial Law." In Data-Centric Business and Applications. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53984-8_13.

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Conference papers on the topic "Enterprise Data Strategy"

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Liu, Shuanghong, Junpu Cai, and Xiaoyu Zhou. "Intelligent Decision Support System Based on Data-Driven Optimization of Enterprise Investment Strategy." In 2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI). IEEE, 2024. https://doi.org/10.1109/icdacai65086.2024.00063.

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Jin, Zhigang. "Research on Algorithm of Enterprise Risk Assessment and Control Strategy Based on Data Mining." In 2025 International Conference on Digital Analysis and Processing, Intelligent Computation (DAPIC). IEEE, 2025. https://doi.org/10.1109/dapic66097.2025.00045.

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Liu, Ping. "Demand Forecasting: Cross-Functional, Cross-Disciplinary Analytics." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12219.

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Accurate material demand forecasting can lead to significant cost savings, greater competitiveness and improved customer satisfaction. However, more often than not, demand forecasting as a business function is carried out poorly, with forecast accuracy often not significantly better than the naïve forecast. To appropriately address these concerns and satisfy overall business objectives, it's increasingly important to have a holistic strategy to improve demand forecast accuracy through a well thought-out enterprise data strategy, applications of advanced forecasting methods as well as synchroni
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Holveck, Phil, and Larry Armijo. "Readiness Integration Center (RIC)." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9620.

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The Naval Air System Command (NAVAIR) Naval Aviation Enterprise (NAE) Automated Logistics Environment (ALE) is applying Big Data Analytics and Cloud Computing Technology to support critical elements of Condition Based Maintenance Plus (CBM+) and Reliability Centered Maintenance (RCM) for NAVAIR platforms. The Comprehensive Automated Maintenance Environment -- Optimized (CAMEO) Readiness Integration Center (RIC) ALE capability focus is on the V-22 platform with an implementation strategy to apply Collaborative, Agile, Open Source, Big Data Analytics, and Cloud Technology to Collect, Connect, Wa
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Almourad, Mohamed, Emad Bataineh, Mohammed Hussein, and Zelal Wattar. "Strategic Placement of Branding Elements in Digital Marketing: Insights from Eye-Tracking Data." In 27th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013281500003929.

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Pawlowska, Elzbieta, Joanna Machnik-Slomka, Ewa Stawiarska, and Krzysztof Wodarski. "DEVELOPMENT OF AVIATION INDUSTRY ENTERPRISES IN THE CONTEXT OF INNOVATIONS AND CORPORATE SOCIAL RESPONSIBILITY." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s04/26.

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The idea of Corporate Social Responsibility (CSR) evolves with the development of the economy. The new areas and issues in this concept are linked to the changing reality and the impact that business puts on its environment. The overexploitation of natural resources, climate change, increasing pressure on the reduction of production costs, often resulting in violations of fundamental human rights, are not so new. The problems of the 21st century have shown that business must create innovations that are in line with the CSR concept. The aviation industry has a significant impact on the environm
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Wang, Yuning, Qingyang Jiao, Haijun Yin, and Ming'ang Yin. "Research on Optimization Strategy of Production Line in Aviation Manufacturing Enterprises Based on Machine Learning." In 2024 6th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2024. https://doi.org/10.1109/mlbdbi63974.2024.10823685.

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Butte, Vijay Kumar, and Sujata Butte. "Enterprise Data Strategy: A Decentralized Data Mesh Approach." In 2022 International Conference on Data Analytics for Business and Industry (ICDABI). IEEE, 2022. http://dx.doi.org/10.1109/icdabi56818.2022.10041672.

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Luo, Wuheng. "Enterprise data economy: A hadoop-driven model and strategy." In 2013 IEEE International Conference on Big Data. IEEE, 2013. http://dx.doi.org/10.1109/bigdata.2013.6691690.

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Huang, Qi. "Artificial Intelligence and Dynamic Choice of Enterprise Internationalization Strategy." In ICBDIE 2025: 2025 International Conference on Big Data and Informatization Education. ACM, 2025. https://doi.org/10.1145/3729605.3729672.

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Reports on the topic "Enterprise Data Strategy"

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Hendrick, Stephen. Data and Storage Trends 2022: Data and Storage Strategies in the Era of the Data-Driven Enterprise. The Linux Foundation, 2022. https://doi.org/10.70828/nshk4555.

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Enterprises today want real-time, consistent, connected, and trusted data to support their critical business operations and insights. Any delay in the availability of data can harm businesses. Ever-expanding data volumes, new governance requirements, data silos across clouds and on-premises, etc., can cause enterprises to slow down on their data strategy and create business challenges. Therefore, data storage and protection systems remain critical to managing IT infrastructure. In July 2022, the SODA Foundation, in partnership with Linux Foundation Research, launched a worldwide survey to unde
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O'Dair, Marcus. Enterprise Blockchain and the Hyperledger Brand: Challenges and Opportunities. The Linux Foundation, 2021. https://doi.org/10.70828/jwen4242.

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This report, commissioned by the Linux Foundation, examines perceptions of Hyperledger and enterprise blockchain more widely. The focus is the Hyperledger brand, rather than Hyperledger’s technology. Drawing on survey and interview data as well as secondary sources, it identifies both challenges and points of leverage with the aim of informing Hyperledger’s strategic development, particularly in terms of marketing, communications, and community building.
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Santana-Rodda, Daly, Leila Camplone, and Mark Mooney. China’s Investment in LAC Critical Minerals Helps Its Military Modernization. Florida International University, 2025. https://doi.org/10.25148/fiuurj.3.1.15.

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Strategic competition between the U.S. and the People’s Republic of China (PRC) continues to attract the international community’s attention. The PRC seeks to expand its influence in the Global South, especially in South America, by increasing its critical mineral mining industry in the region. Throughout this report, we analyze data on state-owned enterprises (SOEs) and private Chinese mineral companies’ investments in Latin America and the Caribbean (LAC) through a World Systems Theory (WST) and state-corporate criminological lens while utilizing Geospatial Information Systems (i.e., ArcGIS
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Holland, Jeremy. Oxfam Bangladesh Economic Justice and Resilience Pillar: Integrated impact evaluation report. Oxfam GB, 2022. http://dx.doi.org/10.21201/2022.9813.

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The Economic Justice and Resilience Pillar of the Oxfam Bangladesh Country Strategy 2016–19 was an ambitious and far-reaching portfolio of initiatives conducted across widely varying contexts and with a large cast of partners. This integrated evaluation report is the result of a rich study process that captured this ambitious complexity through a careful sequencing of mixed-method data collection and multi-stakeholder sense making and analysis. Despite the ambitious scope and challenging context, this report confirms that the Pillar has been highly successful and effective across several of it
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Hertel, Thomas, Maros Ivanic, Paul Preckel, and John Cranfield. The Earnings Effects of Multilateral Trade Liberalization: Implications for Poverty in Developing Countries. GTAP Working Paper, 2003. http://dx.doi.org/10.21642/gtap.wp16.

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Poverty reduction is an increasingly important consideration in the deliberations over multilateral trade liberalization. However, the analytical procedures used to assess the impacts of multilateral trade liberalization on poverty are rudimentary, at best. Most poverty studies have focused on a single country using detailed household survey data. When it comes to multi-country, global trade liberalization analyses, researchers are often forced to resort to a discussion of average, or per capita effects, suggesting that if per capita real income rises, then poverty will fall. As we show in thi
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Pires, Jose Claudio Linhares, Simon Lodato, Tulio Cravo, and Saleema Vellani. A Comparative Analysis of IDB Approaches Supporting SMEs: Assessing Results in the Brazilian Manufacturing Sector. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0010692.

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Abstract:
The Office of Evaluation and Oversight (OVE) of the Inter-American Development Bank (IDB, or the Bank) conducted an impact evaluation to assess the effectiveness of the main types of programs through which IDB has supported small and medium-sized enterprises (SMEs) in Latin America and the Caribbean. It does not evaluate Bank projects directly or compare executing agencies, models of interventions or financial instruments, but rather examines the effectiveness of Bank-supported approaches implemented by Brazilian institutions. Focusing only on the manufacturing sector, the evaluation examines
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