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Littérature scientifique sur le sujet « Data-Driven Strategy »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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Articles de revues sur le sujet "Data-Driven Strategy"

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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El Aissi, Mohamed El Mehdi, Sarah Benjelloun, Younes Lakhrissi, and Safae El Haj Ben Ali. "Big Data Enabling Fish Farming Data-Driven Strategy." Ingénierie des systèmes d information 27, no. 06 (2022): 949–56. http://dx.doi.org/10.18280/isi.270611.

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Tian, Entong, Jifu Guan, Chuanyao Sun, Liuheng Gu, and Yifei Zhang. "A data‐driven chassis coordination control strategy." IET Intelligent Transport Systems 15, no. 8 (2021): 1006–17. http://dx.doi.org/10.1049/itr2.12069.

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Jihua, Sun, and Shi Lin. "Research on Data-driven Marketing Strategy Optimization." Journal of Business and Marketing 1, no. 2 (2024): 157–61. http://dx.doi.org/10.62517/jbm.202409224.

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With the rapid development of information technology and the advent of the big data era, data-driven marketing strategy optimization has gradually become an important means for enterprises to improve market competitiveness and efficiency. This study aims to explore how to optimize marketing strategies through data-driven methods to achieve market precision and personalization. Firstly, the study reviews the theoretical foundation and related research achievements of data-driven marketing strategy optimization. Secondly, through the collection and analysis of market data, machine learning and d

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Kumar, S. "Relevance driven strategy for clinical data collection." Indian Journal of Urology 12, no. 2 (1996): 93. http://dx.doi.org/10.4103/0970-1591.21689.

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Wang, Bingxing. "Big Data-Driven ESG Quantitative Investment Strategy." Journal of Economic Theory and Business Management 2, no. 2 (2025): 8–13. https://doi.org/10.70393/6a6574626d.323837.

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With sustainability becoming more important worldwide, investors are looking more closely at environmental, social, and governance (ESG) factors. This paper looks at how big data could help investors use ESG information effectively in quantitative investing. It discusses how the use of big data techniques can lead to more accurate and transparent ESG analyses. Using regression models, the study identifies a positive relationship between companies' ESG scores and their expected stock returns. It also illustrates how detailed big data analysis can enrich the evaluation of corporate ESG performan

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Benjelloun, Sarah, Mohamed El Mehdi El Aissi, Younes Lakhrissi, and Safae El Haj Ben Ali. "Data Lake Architecture for Smart Fish Farming Data-Driven Strategy." Applied System Innovation 6, no. 1 (2023): 8. http://dx.doi.org/10.3390/asi6010008.

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Thanks to continuously evolving data management solutions, data-driven strategies are considered the main success factor in many domains. These strategies consider data as the backbone, allowing advanced data analytics. However, in the agricultural field, and especially in fish farming, data-driven strategies have yet to be widely adopted. This research paper aims to demystify the situation of the fish farming domain in general by shedding light on big data generated in fish farms. The purpose is to propose a dedicated data lake functional architecture and extend it to a technical architecture

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Zhou, Dan. "Tourism destination marketing strategy driven by big data." Journal of Computational Methods in Sciences and Engineering 24, no. 4-5 (2024): 2593–609. http://dx.doi.org/10.3233/jcm-247486.

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In this study, the marketing strategy of tourism destination driven by big data is deeply discussed. Firstly, the application of big data in the tourism industry and the current strategy of tourism destination marketing are analyzed, and then the research methods are designed through factor analysis and big data analysis theory. After processing and factor analysis of the collected data, the influence of big data on tourism destination marketing strategy is analyzed, and the possible optimization path is explored. At the same time, the problems and challenges encountered in this process are al

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Williams, Peter, and Amir Peleg. "Shifting Toward a Predictive, Data-Driven Operations Strategy." Journal - American Water Works Association 111, no. 2 (2019): 22–27. http://dx.doi.org/10.1002/awwa.1232.

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Piartrini, Putu Saroyini, PA Andiena Nindya Putri, Djoko Widagdo, Ansir Launtu, and Sauri Sauri. "Data-Driven Marketing Strategy to Reach Millennial Consumers." Dinasti International Journal of Education Management And Social Science 5, no. 4 (2024): 420–28. https://doi.org/10.38035/dijemss.v5i4.2452.

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This article explores the efficacy of data-driven marketing strategies in targeting millennial consumers, a demographic known for its unique preferences and digital savvy. Through a comprehensive literature review, various aspects of data-driven marketing, including customer segmentation, personalized content creation, and omnichannel integration, are analyzed in the context of reaching and engaging with millennials. The review encompasses studies on consumer behavior, digital marketing trends, and data analytics techniques relevant to understanding millennial preferences and behavior. Key fin

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Thèses sur le sujet "Data-Driven Strategy"

NOHRA, MARC. "Data-driven retrofitting strategy for buildings in Minneberg, Stockholm." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-283939.

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Complying with the Paris agreements requires substantial efforts in the building sector, and especially within the existing building stock which is responsible for a considerable amount of emissions and energy consumption. This master thesis focuses on the residential district of Minneberg, located in the west of Stockholm in Bromma. The urban building energy modelling (UBEM) approach is used to model the situation of the current district. This method uses real-life data provided by the district, as well as information found in energy performance certificates and in public databases. Based on

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Zhang, Zijun. "Wind turbine vibration study: a data driven methodology." Thesis, University of Iowa, 2009. https://ir.uiowa.edu/etd/454.

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Vibrations of a wind turbine have a negative impact on its performance and therefore approaches to effectively control turbine vibrations are sought by wind industry. The body of previous research on wind turbine vibrations has focused on physics-based models. Such models come with limitations as some ideal assumptions do not reflect reality. In this Thesis a data-driven approach to analyze the wind turbine vibrations is introduced. Improvements in the data collection of information system allow collection of large volumes of industrial process data. Although the sufficient information is cont

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Purnomo, Husnul Khotimah. "A Data Driven Retrospective Study for Medication Strategy Analyses on Longitudinal Prescription Records." Kyoto University, 2018. http://hdl.handle.net/2433/235117.

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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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Deshpande, Shubhangi. "Data Driven Surrogate Based Optimization in the Problem Solving Environment WBCSim." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/35901.

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Large scale, multidisciplinary, engineering designs are always difficult due to the complexity and dimensionality of these problems. Direct coupling between the analysis codes and the optimization routines can be prohibitively time consuming. One way of tackling this problem is by constructing computationally cheap(er) approximations of the expensive simulations, that mimic the behavior of the simulation model as closely as possible. This paper presents a data driven, surrogate based optimization algorithm that uses a trust region based sequential approximate optimization (SAO) framework and a

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Abbaszadeh, Chekan Jafar. "A Data Driven Real Time Control Strategy for Power Management of Plug-in Hybrid Electric Vehicles." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/95822.

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During the past two decades desperate need for energy-efficient vehicles which has less emission have led to a great attention to and development of electrified vehicles like pure electric, Hybrid Electric Vehicle (HEV) and Plug-in Hybrid Electric Vehicles (PHEVs). Resultantly, a great amount of research efforts have been dedicated to development of control strategies for this type of vehicles including PHEV which is the case study in this thesis. This thesis presents a real-time control scheme to improve the fuel economy of plug-in hybrid electric vehicles (PHEVs) by accounting for the insta

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Jaber, Sara. "Resilience as a Service : a multimodal transport strategy combining simulation, optimization, and data-driven resource allocation." Electronic Thesis or Diss., Université Gustave Eiffel, 2025. http://www.theses.fr/2025UEFL2004.

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L'objectif de cette thèse est la conception et le développement d'un système d'exploitation coopératif, des modes des transports collectifs traditionnels et les ressources existantes, afin d'offrir un réseau de transport résilient pouvant faire face aux perturbations de grandes ou petites échelles. Les véhicules seront utilisées comme service de desserte des transports collectifs traditionnels existants et comme élément régulateur en cas de perturbation. Ce système doit être capable d'aider les opérateurs à gérer de manière efficace les réseaux en cas de dérèglements ou de ruptures (problème d

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Švec, Richard. "Zhodnocení stavu systému Business Intelligence a návrhy na jeho zlepšení." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-264581.

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This thesis analyzes the situation in the area of Business Intelligence at O2 Czech Republic. It focuses on identifying key issues and finding solutions to the overall improvement of the service within the company. It can be a guide for managers on how to proceed in the analysis of the BI environment, finding opportunities for improving organization setup and technical aspects, especially in the data warehouse solution. Here one can also find recommendations on how to proceed with the definition of development methodologies and how to effectively set the tools and processes associated with the

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Baitalmal, Mohammad Hamza. "A Grounded Theory Model of the Relationship between Big Data and an Analytics Driven Supply Chain Competitive Strategy." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404511/.

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The technology for storing and using big data is evolving rapidly and those that can keep pace are likely to garner additional competitive advantages. One approach to uncovering existing practice in a manner that provides insights for building theory is the use of grounded theory. The current research employs qualitative research following a grounded theory approach to explore gap in understanding the relationship between big data (BD) and the supply chain (SC). In this study eight constructs emerged: Organizational and environmental factors, big data and supply chain analytics, alignment, dat

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Baitalmal, Mohammad Hamza. "A Grounded Theory Model of the Relationship between Big Data and an Analytics-Driven Supply Chain Competitive Strategy." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc1404511/.

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Livres sur le sujet "Data-Driven Strategy"

United States. Government Accountability Office. Military personnel: DOD needs to conduct a data-driven analysis of active military personnel levels required to implement the defense strategy : report to Congressional committees. U.S. Government Accountability Office, 2005.

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Rajeev, Batra, and David Shepard Associates, eds. The new direct marketing: How to implement a profit-driven database marketing strategy. 3rd ed. McGraw Hill, 1999.

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Gunzelmann, Hans Jonas. Organizing for Independence. Amsterdam University Press, 2024. https://doi.org/10.5117/9789048561094.

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Independence protests are on the rise across Europe, as Spain, the UK, and other states have faced severe secessionist challenges. The largest wave of these protests swept Catalonia and reached its peak in 2017 when the push for a binding referendum led to an unprecedented secessionist crisis. Organizing for Independence explores the question of how the referendum crisis as a threat and opportunity transformed secessionist protest and its organizational basis. Combining protest event data, qualitative interviews, and network analyses, Hans Jonas Gunzelmann shows how organizational change took

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Developing а Data-Driven: 9 Steps for Developing а Data-Driven Content Strategy. Independently Published, 2022.

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Milutinovic, Veljko, and Jakob Salom. Mind Genomics: A Guide to Data-Driven Marketing Strategy. Springer, 2016.

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Milutinovic, Veljko, and Jakob Salom. Mind Genomics: A Guide to Data-Driven Marketing Strategy. Springer London, Limited, 2016.

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Asplen-Taylor, Simon. Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy. Kogan Page, Limited, 2022.

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Asplen-Taylor, Simon. Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy. Kogan Page, Limited, 2022.

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Asplen-Taylor, Simon. Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy. Kogan Page, Limited, 2022.

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Williams, David S. Connected Crm: Implementing a Data-Driven, Customer-Centric Business Strategy. Wiley & Sons, Incorporated, John, 2014.

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Chapitres de livres sur le sujet "Data-Driven Strategy"

Jianhong, Wang, Ricardo A. Ramirez-Mendoza, and Ruben Morales-Menendez. "Introduction of Data Driven Strategy." In Data Driven Strategies. CRC Press, 2023. http://dx.doi.org/10.1201/9781003160700-1.

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Bang, Claus Grand. "Data Strategy." In Data-Driven Decision-Making for Business. Routledge, 2024. http://dx.doi.org/10.4324/9781003457787-2.

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Andersen, Michael Moesgaard, and Torben Pedersen. "Crafting a growth strategy based on innovation." In Data-Driven Innovation. Routledge, 2021. http://dx.doi.org/10.4324/9781003041702-6.

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Strauss, Ralf. "Steps Towards MarketingTech Strategy and Implementation." In Data-Driven Customer Engagement. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64295-1_14.

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Niu, Gang. "Data Fusion Strategy." In Data-Driven Technology for Engineering Systems Health Management. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2032-2_9.

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Pera, Krishna. "Building a Data-Driven IT Strategy." In Big Data for Big Decisions. Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003321347-9.

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Pirnay, Lhorie, and Corentin Burnay. "Data-Driven Causalities for Strategy Maps." In Research Challenges in Information Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75018-3_27.

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Sheema, D., and K. Ramesh. "Data Analytics and Data Mining Strategy to Improve Quality, Performance and Decision Making." In Data Driven Decision Making Using Analytics. CRC Press, 2021. http://dx.doi.org/10.1201/9781003199403-7.

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Li, Qinsheng, and Jiafeng Yu. "Data-Driven Feedback QILC Strategy for Batch Processes." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9698-5_63.

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Lucà, Francescantonio, Stefano Manzoni, and Alfredo Cigada. "Data Driven Damage Detection Strategy Under Uncontrolled Environment." In Lecture Notes in Civil Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07258-1_77.

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Actes de conférences sur le sujet "Data-Driven Strategy"

Xu, Cuiqin, Mingshan Wu, Lurui Fang, and Eng Gee Lim. "Building Energy Reinforcement Strategy based on Data-Driven Methods." In 2025 8th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2025. https://doi.org/10.1109/ceepe64987.2025.11033843.

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Zhang, Ning, Yugang Niu, and Bei Chen. "Fault-tolerant control subject to Markov fault model: Direct data-driven strategy." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11066039.

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Zhu, Qinglin, Jiakai Song, Junlong Liu, Zhangu Wang, Ziliang Hui, and Liyang Wang. "A Study of Data-Driven Free Lane Changing Strategy on the Highway." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065182.

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Wang, Zihao, Tianhong Pan, and Jiaqiang Tian. "An Energy Management Strategy for Hybrid Energy Storage System using Reinforcement Learning." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065443.

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Hou, Jianfei, and Fei Li. "A Random Projection Based Evolutionary Strategy for Solving Large-Scale Optimization Problems." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11066059.

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Shi, Jingrui, Yanru Chen, Wentao Xu, Weiyan Liu, and Zhichao Qiu. "Optimal Scheduling Strategy of Electric Vehicle Charging and Discharging Considering Road Network Information." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065295.

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Yang, Fan, Yan Li, Yan Li, Hao Yu, Hao Liu, and Jun Zhang. "Load Transfer Strategy Recommendation Method for Distribution Networks Augmented by Improved Graph Retrieval." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065227.

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Miao, Zhiyuan, and Dawei Zhan. "High-Dimensional Bayesian Optimization Using Greedy Variable Selection Strategy." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704294.

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Schenone, Valentina, Alessandro Fedeli, Claudio Estatico, and Andrea Randazzo. "A Combined Iterative Data-Driven Inversion Strategy for Microwave Imaging." In 2024 IEEE Conference on Antenna Measurements and Applications (CAMA). IEEE, 2024. https://doi.org/10.1109/cama62287.2024.10986182.

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Gao, Dequan, Jiwei Li, Bao Feng, Zhifan Wang, Xuewei Ding, and Linfeng Zhang. "Multimodal Knowledge Graph for Database Alarm based on Enhanced Fusion Strategy." In 2024 Sixth International Conference on Next Generation Data-driven Networks (NGDN). IEEE, 2024. http://dx.doi.org/10.1109/ngdn61651.2024.10744169.

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Rapports d'organisations sur le sujet "Data-Driven Strategy"

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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Bergamaschi, Andrea, Cecilia Giambruno, and Paula Morales. Empowering Schools with Data: How Can We Achieve Effective Use of Educational Dashboards for Teachers and Principals? Inter-American Development Bank, 2025. https://doi.org/10.18235/0013561.

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Educational dashboards are key tools for enhancing data-driven decision-making in schools, providing teachers and principals with actionable insights. However, their adoption in Latin America and the Caribbean is hindered by challenges such as data quality issues, lack of interoperability in Education Information Management Systems (EMIS), and limited alignment with user needs. This document presents an analytical framework to address these barriers, combining a bottom-up approach that improves dashboards based on educators needs with a top-down strategy to strengthen their effective use. By o

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Goreczky, Péter. Southeast Asia in the US-China Tech Rivalry II. : Digital Infrastructure Development and Data Governance. Külügyi és Külgazdasági Intézet, 2022. http://dx.doi.org/10.47683/kkielemzesek.ke-2022.17.

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The economic development of Southeast Asia is increasingly dependent on establishing a cutting-edge digital infrastructure. In some segments of digital infrastructure, for example, data centre operations, the presence and strategy of the two nations’ tech companies in Southeast Asia has mainly been driven by market considerations. As for smart and safe city solutions, submarine internet cables, and 5G infrastructure, investment projects are linked to security concerns to a greater extent and are increasingly affected by the tech rivalry of the two great powers. The maze of geopolitical and bus

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Suaya, Agustina, Karen Martinez, Monserrat Bustelo, and Claudia Martínez. Groundbreaking Rigorous Evidence on Violence Against Women. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013459.

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Violence against women (VAW) is a persistent and deeply rooted issue that requires urgent policy action. Despite increasing global attention, significant knowledge gaps remain regarding effective prevention and response strategies. This policy brief presents new evidence on innovative approaches to addressing VAW in Latin America and the Caribbean, including the unintended consequences of economic empowerment programs, the impact of climate-related stress on violence, the role of gender in judicial decision-making, and the effectiveness of cognitive-behavioral therapy as a violence prevention

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Oyler-McCance, Sara, Lee Jones, Blake McCann, et al. A metapopulation strategy to support long term conservation of genetic diversity in Department of the Interior bison. National Park Service, 2024. https://doi.org/10.36967/2307352.

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Once numbering in the tens of millions, plains bison (Bison bison bison) were nearly driven to extinction with only a few hundred individuals remaining by the late 19th century. Plains bison have since recovered to approximately 20,000 animals managed in conservation herds throughout North America, yet substantial challenges to their recovery remain. The Department of the Interior (DOI) is working with diverse partners to steward approximately 11,000 bison in 18 conservation herds across 12 states. Most herds exist in areas without native predators, and removals are required to keep herd sizes

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Crespi, Gustavo, and Pluvia Zuñiga. Innovation Strategies and Employment in Latin American Firms. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0008986.

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This study examines the impact of innovation strategies on employment growth in four Latin American countries (Argentina, Chile, Costa Rica, and Uruguay) using micro-data for manufacturing firms from innovation surveys. Building on the model proposed by Harrison et al. (2008), we relate employment to three innovation strategies: make only (R&D), buy only (external R&D, licensing of patents and know-how, technical assistance, and other external innovation activities) and make and buy (mixed strategy). Firms that conduct in-house innovation activities ("make only") have the greatest impa

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Goreczky, Péter. Southeast Asia in the US-China Tech Rivalry I. : The Business Sector in Focus. Külügyi és Külgazdasági Intézet, 2022. http://dx.doi.org/10.47683/kkielemzesek.ke-2022.16.

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Due to the unique opportunities provided by its digital economy, Southeast Asia is a major arena of market expansion for US-based and Chinese tech juggernauts today. For now, the presence and strategy of the two nation’s companies in the ASEAN region has been driven by market considerations. At the same time, social media platforms and mobile operation systems can serve as sources of soft power, which means that Big Tech and ASEAN start-ups could drift into the US-China conflict in the future. In the Southeast Asian market, US tech giants do not have to worry about being crowded out by their C

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Rivera, John Paolo, Ramona Maria Miral, and Mark Gerald Ruiz. Estimating the Impacts of Climate Change on Fiscal Health in the Philippines: Designing a Policy toward a Climate-Resilient Fiscal Sector. Philippine Institute for Development Studies, 2024. https://doi.org/10.62986/dp2024.34.

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This paper explores the fiscal impacts of climate-related phenomena in the Philippines and policy recommendations for creating a climate-resilient economy. A three-pronged empirical approach (i.e., time series, panel data, and cross-section analyses) was employed to examine the nuanced interplay of climate shocks, fiscal health, and economic sustainability. Time series analysis highlighted how structural vulnerabilities, reliance on climate-sensitive sectors, and socio-economic inequalities exacerbate long-term scarring effects on growth. Panel data analysis emphasized the acute impact of temp

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Degan, Arianna, Yushen Li, and Huan Xie. Favor Exchange with Private Costs: An Experiment. CIRANO, 2024. http://dx.doi.org/10.54932/umqe9557.

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We conduct an experiment on a two-player infinitely repeated favor exchange game. In the stage game, each player must decide whether to provide a favor to the other player. A favor generates a fixed benefit for the recipient and a cost for the provider, which can be either low or high. We study the situation where this cost is private information, and it is efficient to provide a favor only when the cost is low. We address two general questions: To which extent subjects exchange favors in ways that are payoff enhancing, given that private information hinders exchanging favors efficiently? Whic

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Menéses-González, María Fernanda, Angélica María Lizarazo-Cuéllar, Diego Cuesta-Mora, and Daniel Esteban Osorio-Ramírez. Financial Development and Monetary Policy Transmission. Banco de la República Colombia, 2022. http://dx.doi.org/10.32468/be.1219.

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This paper estimates the effect of financial development on the transmission of monetary policy. To do so, the paper employs a panel data set containing financial development indicators, policy rates, lending rates, and deposit rates for 43 countries for the period 2000-2019 and applies the empirical strategy of Brandao Marques et al. (2020): firstly, monetary policy shocks are estimated using a Taylor-rule specification that relates changes in the policy rate to inflation, the output gap and other observables that are likely to influencemonetary policy decisions; secondly, the residuals of th

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