Quantitative clarity is a strong foundation for the advancement of any field. Data exists to help when there is decision uncertainty. Data is the foundation for the creation of analytical outputs that become the basis for management decision-making. As the supply chain management function advances its digital transformation strategy, high-quality and consistent data becomes an essential component of this journey.
Due to the continuously increasing complexity of the supply chain network, a large volume of structured and unstructured data will be available to make both discrete and/or continuous and on-going decisions.
Multimodal learning will significantly advance the capabilities for autonomous decision making, using advanced machine learning.
The 2019 "Supply Chain Data Quality and Governance Study" will support this advancement by providing a guidepost on the journey to data as an enabler of digital transformation.