The World Economic Forum defines global risk as an uncertain event that, if it occurs, can cause significant negative impact for several countries or industries within the next 10 years.
Global supply chains create both opportunity and risk. Some of the macro issues we face both in day-to-day operations and future planning include cybersecurity, terrorism, climate change, economic instability, and political discord.
More specific to executives who manage global supply chains, risk is more apparent, and on a micro-basis potentially more consequential in the short term, in areas such as but not limited to reducing spend, leveraging sourcing options, creating sustainability, political and currency instability, government regulations in the U.S. and abroad, trade compliance management, free trade agreements, energy costs, and what the incoming Trump administration will mean for global trade.
Since the recession in 2008-2009, we have witnessed a serious uptick in companies worldwide reviewing their operational exposure and then creating risk strategies in managing these vulnerabilities. Risk exposure can negatively impact margin, profits, growth strategies, operational stability and personnel maintenance.
For companies operating in global supply chains the risks are vast, convoluted and often unanticipated. As a result, we tend to be unprepared for the impacts.
Big data analytics can help increase visibility and provide deeper insights into the supply chain. Leveraging big data, supply chain organizations can improve the way they respond to volatile demand or supply chain risk–and reduce concerns related to the issues.
Sixty-four percent of supply chain executives consider big data analytics a disruptive and important technology, setting the foundation for long-term change management in their organizations (Source: SCM World). Ninety-seven percent of supply chain executives report having an understanding of how big data analytics can benefit their supply chain. But, only 17 percent report having already implemented analytics in one or more supply chain functions (Source: Accenture).
Even if your organization is among the 83 percent who have yet to leverage big data analytics for supply chain management, you’re probably at least aware that mastering big data analytics will be a key enabler for supply chain and procurement executives in the years to come.
Big data enables you to quickly model massive volumes of structured and unstructured data from multiple sources. For supply chain management, this can help increase visibility and provide deeper insights into the entire supply chain. Leveraging big data, your supply chain organizations can improve your response to volatile demand or supply chain risk, for example, and reduce the concerns related to the issue at hand. It will also be crucial for you to evolve your role from transactional facilitator to trusted business advisor.