Acquisition Data Analytics for Supply Chain Cybersecurity

Abstract

Cybersecurity is a national priority, but the analysis required for acquisition personnel to objectively assess the integrity of the supply chain is highly complex. This paper presents a process for supply chain data analytics for acquisition decision-makers, addressing data collection, assessment, and reporting. The method includes workflows for acquisition decision support from initial purchase request through vendor selection and maintenance across the life cycle of an asset. The research presents options for analysis, analytic tools, results visualization, and artificial intelligence to help acquisition decision-makers manage the complexity of supply chain management.