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Data Quality And Bias in Digital Transformation for Fortune 500 Firms: A mixed-methods case study

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~ 32–46 mins
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Data Privacy Leadership Esports
Abstract

This report investigates “Data Quality And Bias in Digital Transformation for Fortune 500 Firms: A mixed-methods case study” using a topic modeling on open datasets. Through a human-centered lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Data Quality And Bias in Digital Transformation for Fortune 500 Firms: A mixed-methods case study

ABSTRACT
Data Quality And Bias in Digital Transformation for Fortune 500 Firms: A mixed-methods case study is unpacked across themes: equity, benefits, costs, and security. Limitations and future research paths are noted.
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