Big data is providing supplier networks with greater data accuracy, clarity, and insights, leading to more contextual intelligence
shared across supply chains.
By Juan Pablo Rodríguez.
Forward-thinking manufacturers are orchestrating 80% or more of their supplier network activity outside their four walls, using big data and cloud-based
technologies to get beyond the constraints of legacy Enterprise Resource Planning (ERP) and Supply Chain Management (SCM) systems. For manufacturers
whose business models are based on rapid product lifecycles and speed, legacy ERP systems are a bottleneck. Designed for delivering order, shipment
and transactional data, these systems aren’t capable of scaling to meet the challenges supply chains face today. To learn more about Supply Chain
Management (SCM) software, consider checking out SelectHub’s SCM Buyer’s Guide and leaderboard.
Choosing to compete on accuracy, speed and quality forces supplier networks to get to a level of contextual intelligence not possible with legacy
ERP and SCM systems. While many companies today haven’t yet adopted big data into their supply chain operations, these ten factors taken together
will be the catalyst that get many moving on their journey.
The ten ways big data is revolutionizing supply chain management include:
The scale, scope and depth of data supply chains are generating today is accelerating, providing ample data sets to drive contextual intelligence.
The following graphic provides an overview of 52 different sources of big data that are generated in supply chains Plotting the data sources by variety,
volume and velocity by the relative level of structured/unstructured data, it’s clear that the majority of supply chain data is generated outside an
enterprise. Forward-thinking manufacturers are looking at big data as a catalyst for greater collaboration. Source: Big Data Analytics in Supply Chain
Management: Trends and Related Research. Presented at 6th International Conference on Operations and Supply Chain Management, Bali, 2014.