Lean Six Sigma and Big Data Analytics: An integrated Approach for Data-Driven Decision Making

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Ali K. Al Fardan
Ali K. Al Fardan

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GJMBR Volume 23 Issue A8

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This paper explores the integration of lean six sigma and AI technologies and how they can enhance each other’s value. The paper introduces AI technologies such as Big Data Analytics, Data Mining and Machine Learning and explains how they can be applied within Lean Six Sigma frameworks. The paper also proposes a synergetic framework that combines AI tools and Lean Six Sigma methodologies. The paper is structured as follows. Section 1 is the introduction. Section 2 gives a brief overview of Lean Methodologies and their frameworks. Section 3 and 4 describe AI technologies, focusing on Big Data Analytics and Machine Learning (ML). Section 5 presents the synergetic framework that embeds AI tools into Lean Six Sigma (LSS) frameworks.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

Ali K. Al Fardan. 2026. \u201cLean Six Sigma and Big Data Analytics: An integrated Approach for Data-Driven Decision Making\u201d. Global Journal of Management and Business Research - A: Administration & Management GJMBR-A Volume 23 (GJMBR Volume 23 Issue A8): .

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Comprehensive analysis of loan six sigma & big data analytics methods for data-driven decision making.
Issue Cover
GJMBR Volume 23 Issue A8
Pg. 31- 36
Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

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GJMBR-A Classification: FOR Code: 1503
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v1.2

Issue date

October 16, 2023

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English

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This paper explores the integration of lean six sigma and AI technologies and how they can enhance each other’s value. The paper introduces AI technologies such as Big Data Analytics, Data Mining and Machine Learning and explains how they can be applied within Lean Six Sigma frameworks. The paper also proposes a synergetic framework that combines AI tools and Lean Six Sigma methodologies. The paper is structured as follows. Section 1 is the introduction. Section 2 gives a brief overview of Lean Methodologies and their frameworks. Section 3 and 4 describe AI technologies, focusing on Big Data Analytics and Machine Learning (ML). Section 5 presents the synergetic framework that embeds AI tools into Lean Six Sigma (LSS) frameworks.

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Lean Six Sigma and Big Data Analytics: An integrated Approach for Data-Driven Decision Making

Ali K. Al Fardan
Ali K. Al Fardan

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