Relevant bibliographies by topics / Agile data management

Contents

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

Academic literature on the topic 'Agile data management'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Agile data management"

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Qiao, Li Hong, and Wei Liu. "Agile Manufacturing Data Management." Key Engineering Materials 407-408 (February 2009): 189–93. http://dx.doi.org/10.4028/www.scientific.net/kem.407-408.189.

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An agile data service framework was proposed in the paper to meet the requirement of agile manufacturing data management in product lifecycle management. The framework was comprised of four layers: core object and ontology layer, meta-data and meta-mode layer, service component layer and implementation layer. The realization of agile manufacturing data management was investigated through the analysis of the unified manufacturing data modeling and the implementation based on services. The descriptive structure and the main content of the manufacturing data model was given. The architecture of t
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Adebayo Omowunmi Temitope, LawalYusufAdedayo, and Braimoh Kareem. "Cybersecurity risk management in agile development: protecting data and system." International Journal of Science and Research Archive 8, no. 1 (2023): 988–94. http://dx.doi.org/10.30574/ijsra.2023.8.1.0188.

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The rapid evolution of technology and the increasing complexity of systems have made cybersecurity a critical concern for organizations, particularly in the context of Agile development. Agile methodologies prioritize flexibility, collaboration, and iterative progress, which can inadvertently introduce unique cybersecurity risks. This paper explores the integration of cybersecurity risk management practices within Agile development frameworks, emphasizing the need for organizations to proactively address vulnerabilities while maintaining the agility of their development processes. By examining
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Hibah Yuliana Khamila, Fithiyatul Husnah, and Mochammad Isa Anshori. "Agile Performance Management." Sammajiva: Jurnal Penelitian Bisnis dan Manajemen 1, no. 4 (2023): 01–23. http://dx.doi.org/10.47861/sammajiva.v1i4.503.

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In order to improve employee performance, intervention on motivation is highly recommended. Apart from increasing the motivation of its employees, companies also need to direct their employees to have an agile performance management system. By implementing agile performance management, employees will be able to achieve the company's vision and mission, meet growing business needs and drive the company's progress. In working on this article the author used the library research method (Literaty Research), namely research activities carried out by collecting information and data with the help of
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Batra, Dinesh. "Adapting Agile Practices for Data Warehousing, Business Intelligence, and Analytics." Journal of Database Management 28, no. 4 (2017): 1–23. http://dx.doi.org/10.4018/jdm.2017100101.

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Business surveys indicate that fewer than 30% of data warehousing and business intelligence (DW/BI) projects meet the stated goals of the budget, schedule, and quality. Agile methods have been suggested as a possible solution, but because of the large size of the typical DW/BI project, it may be difficult to apply the agile values and principles. In this article, the following research questions are raised: Can agile practices be adapted for DW/BI development? What factors influence agile DW/BI development? Six semi-structured interviews were conducted using a questionnaire. The interview tran
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Fitschen, Timm, Wörden Henrik tom, Alexander Schlemmer, Florian Spreckelsen, and Daniel Hornung. "Agile Research Data Management with FDOs using LinkAhead." Research Ideas and Outcomes 8 (October 12, 2022): e96075. https://doi.org/10.3897/rio.8.e96075.

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One essential question with regard to the implementation of FAIR (Wilkinson et al. 2016) Digital Objects (FDOs) in everyday research is the following: How is data that is acquired in some way transformed into FDOs? Creating FDOs from data is a two-fold problem: "FAIR principles are policies, whereas the digital objects are technical abstractions" (Schwardmann 2020). Regarding the technical side, in order to become FDOs, raw data stored in files and databases have to be bundled with their metadata and PIDs have to be assigned. With good tools at hand, sharing data as an FDO with others might on
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Saketh Reddy Cheruku, Pandi Kirupa Gopalakrishna Pandian, and Prof.(Dr.) Punit Goel. "Implementing Agile Methodologies in Data Warehouse Projects." International Journal for Research Publication and Seminar 15, no. 3 (2024): 306–17. http://dx.doi.org/10.36676/jrps.v15.i3.1498.

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Agile techniques have transformed project management and software development by stressing flexibility, collaboration, and customer-centricity. Data warehouse initiatives have traditionally used a waterfall methodology, which may delay, cost more, and misalign with business needs. Agile techniques are applied to data warehouse projects in this article, examining their pros and cons. The study starts with Agile fundamentals including iterative development, incremental delivery, and adaptive planning. It compares these concepts with the linear, sequential waterfall approach employed in data ware
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Saketh Reddy Cheruku, Pandi Kirupa Gopalakrishna Pandian, and Dr. Punit Goel. "Implementing Agile Methodologies in Data Warehouse Projects." Darpan International Research Analysis 12, no. 1 (2024): 65–79. http://dx.doi.org/10.36676/dira.v12.i1.75.

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Agile techniques have transformed project management and software development by stressing flexibility, collaboration, and customer-centricity. Data warehouse initiatives have traditionally used a waterfall methodology, which may delay, cost more, and misalign with business needs. Agile techniques are applied to data warehouse projects in this article, examining their pros and cons.The study starts with Agile fundamentals including iterative development, incremental delivery, and adaptive planning. It compares these concepts with the linear, sequential waterfall approach employed in data wareh
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Chahal, Sunil. "Agile Methodologies for Improved Product Management." Journal of Business and Strategic Management 8, no. 4 (2023): 79–94. http://dx.doi.org/10.47941/jbsm.1439.

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Purpose: The purpose of this research is to investigate the adoption of agile methodologies in the context of product management and assess their impact on product development processes, organizational culture, and overall business performance. The study aims to provide valuable insights into the challenges, benefits, and best practices associated with implementing agile practices in product management, ultimately contributing to the enhancement of product management strategies in contemporary organizations.
 Methodology: Descriptive research enables the exploration of various variables,
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Kotler, Christensen K. "Enhancing US Software Companies' Competitive Edge with Agile Project Management." Journal of Entrepreneurship & Project management 7, no. 10 (2023): 1–13. http://dx.doi.org/10.53819/81018102t4197.

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The primary purpose of this study was to examine how the adoption of Agile Project Management practices can help US-based software companies gain a competitive advantage in the rapidly evolving global marketplace. With ever-increasing customer demands and changing technology landscapes, it was crucial to assess whether agile methodologies could effectively address these challenges. The software industry in the USA faced challenges related to project delays, cost overruns, and difficulties in responding to changing customer requirements. Traditional project management approaches often proved in
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Kumar Singu, Santosh. "Agile Methodologies in Healthcare Data Warehousing Projects: Challenges and Solutions." Journal of Artificial Intelligence & Cloud Computing 1, no. 1 (2022): 1–5. http://dx.doi.org/10.47363/jaicc/2022(1)383.

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Agile methodologies have been evolving project management across sectors, including healthcare. The current research paper discusses the application of Agile methodology within healthcare data warehousing projects, emphasizing domain-specific challenges and solutions
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Dissertations / Theses on the topic "Agile data management"

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Koskela, Niklas, and Carolina Aspfjäll. "Agile Risk Management." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44975.

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This thesis was done in collaboration with Volvo Cars to inspect their risk management process in light of their recent change to an agile way of working. The question was if their actual risk management differentiates from their directive and if the company could in any way improve their agile risk management. By having qualitative semi-structured interviews with employees in the IT section of the company, we got the picture that not many knew about the IT Risk Management Directive that explains the process, but they are still working within its guidelines. Other sections of the company that
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Nyfjord, Jaana. "Towards integrating agile development and risk management." Doctoral thesis, Kista : Department of Computer and Systems Sciences (together with KTH), Stockholm University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-8138.

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Ewerstein, Anders, and Markus Jansson. "Management method for Change Management in ERP systems." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177379.

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Målet med detta arbete är att förbättra Spotifys processer när de gör förändringar internt som påverkar deras finansiella system. Arbetet har genomförts genom att kartlägga de team hos Spotify som skapar, påverkar och använder data i det finansiella systemet. Vidare har de olika teamens arbetssätt jämförts och skillnader i hur de arbetar identifierats. Baserat på de identifierade skillnaderna påvisas vilka utmaningar som finns när Spotify genomför förändringar där flera team är involverade. Kartläggningen visar att det finns både olika arbetssätt och grundinställning hos de olika teamen som sk
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Östman, Nicklas, and Rasmus Lindström. "Vertically Scaling Agile : A Multiple-Case Study." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-136458.

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The conceptual framework of agile software development is an ever-growing movement in the software industry. However, recent studies have shown that large, less software-focused companies, where software development is primarily used for in-house IT-solutions, struggle with giving up traditional command-control type of management. This hits hard on some of the most important principles of agile software development and in many cases this phenomenon has inevitably led to large gaps between development teams and more managerial parts of the organization. This thesis has aimed to study this gap a
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Dyrhage, Max. "Incorporating a tag management system in an agile web development process to become more data-driven." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240395.

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Web analytics are used to track and examine user behavior on websites and web applications. In order to take data driven decisions companies and organizations working with the web look to web analytics to understand their users. A piece of Javascript code that collect user behavior and information is often referred to as a tag, which can be managed through a tag management system. Tag management systems can provide structure to how a website’s users’ behaviors are being measured. This study examines how a tag management system can enable web analytics of user data to be incorporated in an agil
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Andersen, Joachim Hjelmås. "Project Management in Agile Software Development : An empirical investigation of the use of Scrum in mature teams." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9869.

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Hamed, Amirzadeh, and Khalaf Beigi Reza. "Agil Systemutveckling : En studie av kravhantering och beställarroll i agila angreppsätt." Thesis, Högskolan Väst, Institutionen för ekonomi och it, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-5510.

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This paper is a degree project on the C-level, 15 points at University West, Department of Business and IT dept. Informatics. This study is about agile methodology and its impact on IT projects. Requirements management is a process within an IT project, where customer has certain requirements that must be met by an IT system. The difference between the traditional and agile development is in the requirements management process and it can cause problems in a project. Requirements change during IT projects and to manage requirements, agile principles apply. Specification and planning in the wate
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Semmler, Jiří. "Nástroj pro podporu spolupráce při agilním modelování a vývoji software." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363769.

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The ain of this thesis is to define and describe specific challenges occuring on the crossroard between project management and knowledge management with the focus on agile software development and agile modeling. Based on the found and verified problem it tries to find a existing solution. After that, it analyses, specifies and designs an own solution. Focusing on covering of three different perspectives makes this thesis unique. After process of design, there are technologies defined. For all used technologies there is described detailed implementation of the application. The third-party tech
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Carleson, Hannes, and Marcus Lyth. "Evaluation of Problem Driven Software Process Improvement." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189216.

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Software development is constantly growing in complexity and several newtools have been created with the aim to manage this. However, even with thisever evolving range of tools and methodology, organizations often struggle withhow to implement a new development-process, especially when implementingagile methods. The most common reason for this is because teams implementagile tools in an ad-hoc manner, without fully considering the effects this cancause. This leads to teams trying to correct their choice of methodologysomewhere during the post-planning phase, which can be devastating for aproje
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Toure, Carine. "Capitalisation pérenne de connaissances industrielles : Vers des méthodes de conception incrémentales et itératives centrées sur l’activité." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI095/document.

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Dans ce travail de recherche, nous nous intéressons à la question de la pérennité de l’usage des systèmes de gestion des connaissances (SGC) dans les entreprises. Les SGC sont ces environnements informatiques qui sont mis en place dans les entreprises pour mutualiser et construire l’expertise commune grâce aux collaborateurs. Le constat montre que, malgré la rigueur employée par les entreprises pour la mise en œuvre de ces SGC, le risque d’échec des initiatives de gestion des connaissances, notamment lié à l’acceptation de ces environnements par les utilisateurs professionnels ainsi qu’à leur
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Books on the topic "Agile data management"

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Hughes, Ralph. Agile data warehousing project management: Business intelligence systems using Scrum and XP. Morgan Kaufmann, 2013.

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editor, Margaria-Steffen Tiziana 1964, ed. Process design for natural scientists: An agile model-driven approach. Springer, 2014.

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Mitra, Amit. Knowledge reuse and agile processes: Catalysts for innovation. Information Science Reference, 2008.

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Lankhorst, Marc. Agile Service Development: Combining Adaptive Methods and Flexible Solutions. Springer Berlin Heidelberg, 2012.

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Agile Data Warehousing Project Management. Elsevier, 2013. http://dx.doi.org/10.1016/c2011-0-06103-3.

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Unhelkar, Bhuvan. Big Data Strategies for Agile Business. Auerbach Publishers, Incorporated, 2017.

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Big Data Strategies for Agile Business. Taylor & Francis Group, 2017.

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Unhelkar, Bhuvan. Big Data Strategies for Agile Business. Auerbach Publishers, Incorporated, 2017.

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Unhelkar, Bhuvan. Big Data Strategies for Agile Business. Auerbach Publishers, Incorporated, 2017.

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Feeney, Kevin, James Welch, and Jim Davies. Engineering Agile Big-Data Systems. River Publishers, 2022.

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Book chapters on the topic "Agile data management"

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Larson, Deanne. "Agile Project Management and Data Analytics." In Data Analytics in Project Management. Auerbach Publications, 2018. http://dx.doi.org/10.1201/9780429434891-10.

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Pawlak, Michał, and Aneta Poniszewska-Marańda. "Software Testing Management Process for Agile Approach Projects." In Data-Centric Business and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19069-9_3.

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Wiedemann, Finn, Dion Rüsselbæk Hansen, and Michael Paulsen. "Digital technologies, management, and big data." In Agile Learning and Management in a Digital Age. Routledge, 2022. http://dx.doi.org/10.4324/9781003188728-5.

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Fatima, Tayyba, and Tahir Mumtaz Awan. "Role of Big Data in Agile Business Management: A Conceptual Framework." In Agile Leadership for Industry 4.0. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003314615-3.

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Asad, Kashif, and Mohd Muqeem. "A Critical Analysis of Requirement Management in Agile Development." In Advances in Data and Information Sciences. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5292-0_8.

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Haidabrus, Bohdan, Janis Grabis, and Serhiy Protsenko. "Agile Project Management Based on Data Analysis for Information Management Systems." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77719-7_18.

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Manchanda, Sanjeev. "End to End Agile and Automated Machine Learning Framework for Trustworthy, Reliable and Sustainable Artificial Intelligence." In Data Management, Analytics and Innovation. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2600-6_3.

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Ameta, Upasana, Mayank Patel, and Ajay Kumar Sharma. "Scrum Framework Based on Agile Methodology in Software Development and Management." In Studies in Autonomic, Data-driven and Industrial Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3915-9_28.

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Brewer, Jay, Ger Joyce, and Saurabh Dutta. "Converging Data with Design Within Agile and Continuous Delivery Environments." In Design, User Experience, and Usability: Theory, Methodology, and Management. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58634-2_39.

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Afifi, Mutasim, and Khalid al Marri. "Theoretical Framework for Effective Communication Processes for the Agile Project Management Approach in the UAE Utility Sector." In BUiD Doctoral Research Conference 2023. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56121-4_48.

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AbstractThe goal of this study is to find out how well the communication processes in the UAE Utility Industry work with the Agile Project Management Approach. For this reason, the present study will incorporate a quantitative research methodology that will allow the researcher to verify secondary data on the agile project management strategy. The utility sector in the UAE will be surveyed, as will its management, to gather primary data. Agile project management has suitably made it possible to obtain an appropriate balance between stability and dynamism while providing an opportunity for quic
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Conference papers on the topic "Agile data management"

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Haidabrus, Bohdan, Janis Grabis, Evgeniy Druzhinin, and Vitalii Ivanov. "Discovery Phase of Implementing Scaled Agile Framework for Data Platform Project." In 2024 IEEE 65th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS). IEEE, 2024. http://dx.doi.org/10.1109/itms64072.2024.10741940.

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Julitz, Tim Maurice, Nadine Schlüter, and Manuel Löwer. "Data-Driven Agile Risk Management for Mechatronic Systems via Markov Analysis of Failure Scenarios." In 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 2024. https://doi.org/10.1109/iceccme62383.2024.10797164.

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Seffe, Nur Sefferyna, Edzreena Edza Odzaly, and Khyrina Airin Fariza Abu Samah. "Data-driven Strategies for Enhanced Risk Management Performance in Software Development Perspective: an Agile Implementation." In 2024 IEEE 22nd Student Conference on Research and Development (SCOReD). IEEE, 2024. https://doi.org/10.1109/scored64708.2024.10872763.

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Wiboonrat, Montri. "Applying agile to data center project." In 2016 Management and Innovation Technology International Conference (MITicon). IEEE, 2016. http://dx.doi.org/10.1109/miticon.2016.8025239.

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Mukherjee, Anwesha, and Jan Christoph Albrecht. "Implications of Agile Project Management on Performance Management." In 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2023. http://dx.doi.org/10.1109/idaacs58523.2023.10348804.

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Zhang, Wei, Hangwei Qian, Craig E. Wills, and Michael Rabinovich. "Agile resource management in a virtualized data center." In the first joint WOSP/SIPEW international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1712605.1712626.

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D Berthot, Bryan. "Agile Supply Chain Management Theories, Empirical Data, and Future Directions." In InSITE 2023: Informing Science + IT Education Conferences. Informing Science Institute, 2023. http://dx.doi.org/10.28945/5153.

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Aim/Purpose. This is a literature review that defines agile supply chain management (ASCM), discusses several competing theories (particularly ones with some empirical evidence), their research limitations (e.g., cultural and industry homogeneity), and future directions for research that would add to the field’s body of knowledge. Background. Agile supply chain management (ASCM) is a relatively recent phenomenon, with most academic articles published between 2001 and the present. However, the ASCM literature is quite fragmented, with no dominant theory. Both the ASCM literature and private ind
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Desai, Jairaj, Steven Rogers, Woosung Kim, et al. "Agile Work Zone Management Based on Connected Vehicle Data." In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2021. http://dx.doi.org/10.1109/itsc48978.2021.9565039.

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Converset, J., S. Sharma, and Florian Le Blay. "Enhancing Lost Circulation Management by Data-Driven Agile Methods." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/223817-ms.

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Abstract This paper presents a method using surface and downhole data to enhance responses to lost circulation events in drilling operations, which are significant challenges leading to nonproductive time and financial losses. Lost circulation costs the oil and gas industry approximately USD 1 billion per year in rig time, materials, and other financial resources (Ferron et al. 2014). Accurately detecting lost circulation in the oil and gas industry presents several challenges. The lost-circulation process relies heavily on real-time data from various sensors, which can be incomplete, or noisy
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Wickramarathne, C., U. Wijesinghe, V. Mapitiyage, C. Wickramage, K. Wisenthige, and C. Aluthwala. "Sustaining Agile Usage: Role of Management Support in Shaping Agile Mindsets in Development Teams." In Proceedings of the 3rd International Conference on Sustainable & Digital Business. SLIIT Business School, 2024. https://doi.org/10.54389/uqma5427.

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Agile methodologies have acquired prominence in the modern landscape of software development. Regardless of development teams shifting to such methodologies, they experience obstacles in their sustained usage. Research implies these originate from shortcomings in the agile mindset of team members, considering the role of management support in fostering the same. However, they struggle to properly address the impact of management support on sustained agile usage. This study solidifies the impact of management support on the sustained usage of agile methodologies, exploring the mediating role of
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Reports on the topic "Agile data management"

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Hunter, Margaret, Jijo K. Mathew, Ed Cox, Matthew Blackwell, and Darcy M. Bullock. Estimation of Connected Vehicle Penetration Rate on Indiana Roadways. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317343.

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Over 400 billion passenger vehicle trajectory waypoints are collected each month in the United States. This data creates many new opportunities for agencies to assess operational characteristics of roadways for more agile management of resources. This study compared traffic counts obtained from 24 Indiana Department of Transportation traffic counts stations with counts derived by the vehicle trajectories during the same periods. These stations were geographically distributed throughout Indiana with 13 locations on interstates and 11 locations on state or US roads. A Wednesday and a Saturday in
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Dudoit, Alain. European common data spaces: a structuring initiative that is both necessary and adaptable to Canada. CIRANO, 2023. http://dx.doi.org/10.54932/skhp9567.

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Faced with the acceleration of the digital economy, the governance and effective sharing of data have become fundamental issues for public policy at all levels of jurisdictions and in all areas of human activity. This paper reviews the initiatives and challenges associated with data governance, with a particular focus on the European Common Data Spaces (ECDS) and their direct relevance to the Canadian context. It explores the inherent complexity of data governance, which must reconcile sector-specificities with more horizontal governance principles. In doing so, it highlights the importance of
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Can agile be scaled? Association for Project Management, 2017. http://dx.doi.org/10.61175/pyjd8197.

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The objective of the study was to understand the extent to which scaled agile tools, techniques and roles are practically in place in corporate portfolio, programme, project and development management methodologies, to determine the level of corporate commitment to exploiting scaled agile, e.g. pilot, full use, selective based on need, as well as drivers for selection or deselection of the framework based on the overheads. A qualitative approach was adopted – an online survey, with fi rst and second semistructured interviews of project managers who use scaled agile approaches have been held to
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