Executive Briefings

Big Data in the Supply Chain
Big Data in the Supply Chain

Prior to investing resources into "big data" systems, software and people, firms must understand that data aggregation alone is insufficient. Without a well-thought-out strategy, big data projects can result in confusion between teams, or worse, lead to sunk costs. To assist supply chain leaders in crafting a big data execution strategy, this article uses three examples to illustrate data-driven improvement opportunities in transportation, warehousing and network design. It is highly recommended that supply chain leaders clearly define goals before embarking on a big data project. The ultimate deliverable of data-oriented efforts should be greater transparency in decision making.

Please CLICK HERE to view this whitepaper.

Prior to investing resources into "big data" systems, software and people, firms must understand that data aggregation alone is insufficient. Without a well-thought-out strategy, big data projects can result in confusion between teams, or worse, lead to sunk costs. To assist supply chain leaders in crafting a big data execution strategy, this article uses three examples to illustrate data-driven improvement opportunities in transportation, warehousing and network design. It is highly recommended that supply chain leaders clearly define goals before embarking on a big data project. The ultimate deliverable of data-oriented efforts should be greater transparency in decision making.

Please CLICK HERE to view this whitepaper.

Big Data in the Supply Chain