Big data can have big impact on supply chain management

The use of data analytics is underused in supply chain management to minimize risk exposure

Supply chain management is a vital component of minimizing a company’s risk of fraud, bribery, and corruption, and new tools can help organizations looking to limit their exposure to these risks as modern technology worms its way into even the oldest of businesses.

Big data is still a point of intrigue for many businesses looking to take advantage of digital analysis to create more efficient and foolproof operations in their supply chains, but data analytics tools should be far from enigmatic for supply chain managers. Bloomberg suggests that data analytics tools and big data are two elements that can help businesses identify problem areas within a supply chain before those areas actually do damage. Bloomberg quotes Mark Pearson, a principal at Deloitte Financial Advisory Services, on the importance of including data analytics in supply chain management: 

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Juliana Kenny

Juliana Kenny is a contributor to, covering a range of topics including patent litigation, conflict mineral laws, executive compensation, and antitrust regulation. Juliana earned B.A.s...

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