Supply chain management is one of the most prominent use cases for digital transformation and automation projects. Enterprises strive for an agile framework that allows them to adjust their supply chain processes to political, meteorological and market requirements in real-time. Nonetheless, seamless supply chain collaboration has remained an ellusive goal for the past 25 years. Enterprises still struggle to validate and integrate the data necessary for good decisions.
Brad Householder, former global Board Chair of the Association for Supply Chain Management (ASCM) and a supply chain veteran with 35 years of experience, proposes a decision-centric approach to solve this challenge. He shares his insights from his past projects, and – most importantly – explain how enterprises can become decision-centric organizations ready for automation and agility.
In this webcast Brad and Chris will discuss:
- why neither traditional ERP systems nor the trendy Big Data approach will solve the challenge of decision-centric supply chain management
- how enterprise can add agility, flexibility, speed and precision to their supply chain management
- how the DIKW pyramid (data, information, knowledge, wisdom) is a key concept to this
- and finally, how to turn your disparate data into good decisions.