Definition
The process of analyzing large data sets using statistical methods, mathematics, and software to uncover patterns that aid in decision-making.
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Supply chain leaders, if they have not done so already, should be aiming and aligning processes, skill levels, and supporting technology strategies that can better synchronize supply chain planning, internal and external collaboration, and…
Adopting a hierarchical supply chain performance measurement framework allows a firm to organize its performance metrics and align them with its supply chain management structure.
The acquisition expands the company's intermodal analytics solutions for global supply chain execution.
In this webinar, Milena Janjevic, a research scientist at the Megacity Logistics Lab at MIT’s Center for Transportation and Logistics, will discuss new approaches and models for supply chain design, as well as the tools that enable them.
As supply chains recover from pandemic disruptions, planning and analytics will be integral to success.
How supply chain managers can cut through the data hype, ask the right questions, and rely on more responsible analytics in today’s uncertain business environment
In 2019, APQC surveyed supply chain professionals regarding the use of analytics in the supply chain. It conducted a similar survey in 2016.
Organizations have made great strides in the use of analytics in the supply chain, but barriers remain.
New research shows that companies are embracing analytic tools, but both talent and tool gaps remain.
BluJay Solutions, a leading provider of supply chain software and services, today released the findings from its second annual research study in the report, “Focus on Customer Experience: Research on Supply Chain Priorities and Investments.”
