The Big Data Handbook: Understanding how supply chain leaders are building capabilities to harness big data
By Lora Cecere, Founder and CEO, Supply Chain Insights LLC
The use of new forms of data is not an evolution. Instead, powering big data supply chains, and innovating through new forms of analytics, is a step change.
New forms of data do not fit traditional architectures. Traditional supply chains were architected to use structured data with software using relational databases. The big data era will make many of the investments from the last decade obsolete.
Big data offers the opportunity to redefine supply chain processes from the outside - in (from the channel back) and define the customer - centric supply chain. This is in stark contrast to the inflexible IT investments installed over the last decade to respond inside - out based on order shipments. These traditional investments in Enterprise Resource Planning (ERP), Advanced Planning Systems (APS) and traditional Business Intelligence (BI) for reporting improved the supply chain response, but did not allow the organization to sense, shape or orchestrate outside - in. New forms of data (e.g., images, social data, sensor transmission, input from global positioning systems (GPS), the Internet of Things, and unstructured text from email, blogs and ratings and reviews) offer new opportunities. They also require new techniques and technologies.