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Adapting Agile Practices for Data Warehousing, Business Intelligence, and Analytics
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Data Warehousing in the Age of Big Data
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Key organizational factors in data warehouse architecture selection
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Methodological guidelines for reducing the complexity of data warehouse development for transactional blood bank systems
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Empirical studies of agile software development: A systematic review
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Complexity of Information Systems Development Projects: Conceptualization and Measurement Development
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SAFe 4.0 Distilled: Applying the Scaled Agile Framework for Lean Software and Systems Engineering. 2017.
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Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
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A Model of Data Warehousing Process Maturity
inferredcites →https://doi.org/10.1111/j.0737-6782.2005.116_3.xopenalex-snapshot
Balancing Agility and Discipline: A Guide for the Perplexed
inferredcites →https://doi.org/10.1145/1226736.1226739openalex-snapshot
Theoretical reflections on agile development methodologies
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Transcending the individual human mind—creating shared understanding through collaborative design
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Agility from First Principles: Reconstructing the Concept of Agility in Information Systems Development
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Balancing Agile and Structured Development Approaches to Successfully Manage Large Distributed Software Projects: A Case Study from the Cruise Line Industry
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Big Data Research in Information Systems: Toward an Inclusive Research Agenda
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Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory
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Techniques and Problems of Theory Construction in Sociology.
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Prototyping: The New Paradigm for Systems Development
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Business Intelligence and Analytics: From Big Data to Big Impact
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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The impact of project team characteristics and client collaboration on project agility and project success: An empirical study
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