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Optimizing IT Supply Chain: Leveraging Big Data Analytics and Machine Learning in Medical Device Sales and Mergers

EasyChair Preprint 12056

14 pagesDate: February 12, 2024

Abstract

This paper explores the strategic optimization of the IT supply chain, focusing on the integration of big data analytics and machine learning algorithms within the context of medical device sales and mergers. Recognizing the critical role of effective execution in mergers and acquisitions, the study delves into how harnessing advanced technologies like SAP Supply Chain, coupled with data-driven insights, can drive operational excellence. The abstract provides a brief overview of the key themes discussed in the paper, offering a glimpse into the significance of leveraging cutting-edge technologies for enhancing efficiency and success in the dynamic landscape of medical device sales and mergers.

Keyphrases: Big Data Analytics, IT supply chain, Mergers and Acquisitions, Operational Excellence, SAP Supply Chain, machine learning, medical devices, technology integration

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:12056,
  author    = {Battle Hurry},
  title     = {Optimizing IT Supply Chain: Leveraging Big Data Analytics and Machine Learning in Medical Device Sales and Mergers},
  howpublished = {EasyChair Preprint 12056},
  year      = {EasyChair, 2024}}
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