Because global modern supply chains are incredibly complex, involving a vast network of manufacturing and logistics personnel, even simple mistakes can result in lengthy delays.

Quite a few companies have embarked on their digital collaboration journey, but many haven't developed it to its full potential, says Ville Parkkinen, director of product marketing at OpenText.

Maintaining your organization’s dependence on collecting, tracking and sharing supply chain data with Excel is perhaps the biggest threat to agility, resilience, visibility and profitability.

Quantum computing has arrived. But is it mature enough to solve brutally complex supply chain problems?

While the task and responsibility for managing the data supply chain is primarily the responsibility of information technology professionals, the concepts and tools we use every day directly apply to the data supply chain as well as the physical supply chain.  

Achieving supply chain visibility isn't a matter of spending years to acquire a fixed view of suppliers, says Jack Dobson, commercial account lead with Palantir. It's about managing relationships that are in constant flux.

To improve collaboration and responsiveness, enterprises need what one might call “end-to-endless” visibility — advanced analytics that’s greater than the sum of its parts.

With multiple layers of suppliers, artificial intelligence and big data can help companies get clean and useful information, says Jim Hayden, chief data scientist at Everstream Analytics.