The Meaning of Data Fabrics — and How They Benefit Supply Chains

Jul 5, 2021

Rob Harris, vice president of solutions at Stardog, contributes to SupplyChainBrain.

Manufacturers are constantly balancing a complex web of functions that span product innovation, engineering, planning, production and logistics. These highly interconnected processes span across the organization and its partners, creating gaps in data, information latency and barriers that create complex associations across operations and constituents.

The past year of disruptions brought many global supply chains to the brink. Bad data strategies were the culprit, as they treated the supply chain as a rigid system when, in reality, it is a complex network of actors that need to be in sync to quickly adapt to change. As consumer demand reached an all-time high for countless products during the pandemic, data latency from source systems delayed responses that prohibited many manufacturers and suppliers from being able to react to the changing market environment.

Traditional data management systems worked well when supply chain professionals had more time to adapt, and the enterprise data landscape was more uniform, structured and simple. But the world is different now… 

Read Rob’s entire article at SupplyChainBrain: The Meaning of Data Fabricsand How They Benefit Supply Chains