Agile Business Intelligence: Collection and Classification of Agile Business Intelligence Actions by Means of a Catalog and a Selection Guide

Krawatzeck, Robert; Dinter, Barbara

doi:10.1080/10580530.2015.1044336

Cited by 14 publications

(9 citation statements)

References 39 publications

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“…The use of Agile methodology in BI systems is becoming increasingly important to adapt to the rapidly changing requirements of business environment [14], enabling flexibility, collaboration, rapid iteration [12], and the ability to deliver value to stakeholders more quickly [5]. Therefore, Agile methodology typically includes breaking projects down into small, incremental stages, with each phase delivering a specific piece of functionality or value [13].…”

Section: Bi Implementation Using Agile Methodologymentioning

confidence: 99%

Systematic Literature and Expert Review of Agile Methodology Usage in Business Intelligence Projects

Wulandari,

Raharjo

2023

J. Inf. Syst. Eng. Bus. Intell.

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Background: Agile methodology is known for delivering effective projects with added value within a shorter timeframe, especially in Business Intelligence (BI) system which is a valuable tool for informed decision-making. However, identifying impactful elements for successful BI implementation is complex due to the wide range of Agile attributes. Objective: This research aims to systematically review and analyze the integration of BI within Agile methodology, providing valuable guidance for future projects implementation, enhancing the understanding of effective application, and identifying influential factors. Methods: Based on the Kitchenham method, 19 papers were analyzed from 288 papers, sourced from databases like Scopus, ACM, IEEE, and others published in 2016-2022. Meanwhile the extracted key factors impacting agile BI implementation were validated by qualified expert. Results: Agile was discovered to provide numerous benefits to BI projects by promoting flexibility, collaboration, and rapid iteration for enhanced adaptability, while effectively addressing challenges including those related to technology, management, and skills gaps. In addition, Agile methods, including tasks such as calculating cycle time, measuring defect backlogs, mapping code ownership, and engaging end users, offered practical solutions. The advantages included adaptability, success, value enhancement, cost reduction, shortened timelines, and improved precision. The research additionally considered other critical Agile elements such as BI tools, Agile Practices, Manifesto, and Methods, thereby enhancing insights for successful implementation. Conclusion: In conclusion, the research outlined Agile BI implementation into seven key factor groups, validated by qualified expert, providing guidance for BI integration and practices, and establishing a fundamental baseline for future applications. Keywords: Agile Methodology, Business Intelligence (BI), Expert Judgement, Kitchenham, Systematic Literature Review (SLR)

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Section: Bi Implementation Using Agile Methodologymentioning

confidence: 99%

Systematic Literature and Expert Review of Agile Methodology Usage in Business Intelligence Projects

Wulandari,

Raharjo

2023

J. Inf. Syst. Eng. Bus. Intell.

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“…However, these literature reviews do not focus on the PM aspect. A literature review by Krawatzecka and Dintera [58] identified studies regarding agile BI practices. In their definition of BI and literature search, the authors also included studies regarding DWH implementation.…”

Section: Previous Workmentioning

confidence: 99%

Project Management in Data Warehouse Implementations: A Literature Review

Bogojevic

2020

IEEE Access

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“…• "Individuals and interactions over processes and tools • Working software over comprehensive documentation • Customer collaboration over contract negotiation • Responding to change over following a plan" (Beck et al, 2001) Initially developed for software development, agile methodology is nowadays adopted by organisations seeking flexibility in various other fields (Annosi et al, 2020). Examples include the application of agile principles in human resource management (Denning, 2018), business intelligence (Hughes, 2013;Krawatzeck & Dinter, 2015) and digital transformation (Ghezzi & Cavallo, 2020). Since agile methodologies have their origins in the development of products in environments where requirements can change, they can help teams to meet business goals under uncertainty (Livermore, 2008).…”

Section: Introductionmentioning

confidence: 99%

Agile Methods in Industrial Maintenance

Metso

Thenent

2023

Lecture Notes in Mechanical Engineering

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Agile has become a popular term in organisations and businesses, beyond the IT sector. Characteristics of agile ways of working such as the assumption that boundary conditions and requirements might (and will) change make them attractive to applications in dynamic environments in general. Methods such as Scrum or Xtreme Programming turn agile values into actionable descriptions, originally intended for software development. This work offers a literature-based assessment of the suitability of agile methods for the maintenance of industrial production systems. The findings show that so far there has been a limited attention to application of agile methods in in the industrial maintenance context but at the same time suggest the potential for their application.

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Agile Business Intelligence: Collection and Classification of Agile Business Intelligence Actions by Means of a Catalog and a Selection Guide

Cited by 14 publications

References 39 publications

Systematic Literature and Expert Review of Agile Methodology Usage in Business Intelligence Projects

Systematic Literature and Expert Review of Agile Methodology Usage in Business Intelligence Projects

Project Management in Data Warehouse Implementations: A Literature Review

Agile Methods in Industrial Maintenance

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