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Synergizing Business Insights: Integrating Data Analytics, AI, and Blockchain for Enhanced Performance and Supply Chain Transparency

EasyChair Preprint no. 12705

12 pagesDate: March 22, 2024

Abstract

This paper explores the integration of data analytics, artificial intelligence (AI), and blockchain technology to enhance business operations, particularly focusing on employee performance management and supply chain transparency. In today's competitive landscape, businesses are under increasing pressure to optimize their operations while ensuring integrity and transparency throughout their supply chains. By harnessing the power of data analytics, AI algorithms, and blockchain's immutable ledger, organizations can gain deeper insights into employee performance metrics and streamline supply chain processes. This convergence enables real-time monitoring, predictive analytics, and secure data exchange, ultimately leading to improved decision-making, operational efficiency, and trust among stakeholders. Through case studies and practical examples, this paper illustrates how businesses can leverage this synergy to drive sustainable growth and maintain a competitive edge in the marketplace.

Keyphrases: Artificial Intelligence, Blockchain, Data Analytics, Employee Performance Management, Supply chain transparency

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:12705,
  author = {Battle Hurry},
  title = {Synergizing Business Insights: Integrating Data Analytics, AI, and Blockchain for Enhanced Performance and Supply Chain Transparency},
  howpublished = {EasyChair Preprint no. 12705},

  year = {EasyChair, 2024}}
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