Transparency Trust in Predictive Analytics
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Publication date
2024
Typ of student thesis
Master
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
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Abstract
Predictive analytics is increasingly important for businesses seeking to improve decision-making and operational efficiency. However, the widespread adoption of these methods is often impeded by issues related to transparency and trust. Many stakeholders view predictive models as overly complex "black boxes," resulting in skepticism and hesitancy to fully integrate these tools into their processes. This thesis explores the critical challenges that hinder transparency and trust in predictive analytics within business contexts.
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330 - Wirtschaft
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English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
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Review
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Citation
FISCHER, Roman, 2024. Transparency Trust in Predictive Analytics. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/49266