Despite ongoing economic and business environment challenges, world-class procurement organizations continue to outperform the peer group by a wide margin, up to $6m in cost savings for the typical large company. They deliver services at 19 percent lower cost with greater effectiveness and require 27 percent fewer full-time-equivalents (FTEs) per $1bn in spend. For many, efficiency gains have reached their practical limits. What's next?
Gaining deep visibility into sales channels and a timely understanding of every detail about product shipments is essential to modern businesses. Granular knowledge – about what items were sold, who sold them, who bought them, where they are now, and whether they’re being returned – gives manufacturers an edge in optimizing the final mile of the supply chain. That information is known as channel data, and the tools used to gather and manage that data are known as channel data management systems, or CDM.
Lack of visibility into their manufacturing processes is cited as manufacturers' most prevalent issue, according to a survey by Ubisense, a provider of location intelligence solutions. The survey, conducted by SME and Manufacturing Engineering Media, says 40 percent of manufacturers have no visibility into the real-time status of their manufacturing processes.
The global logistics and shipping industry's top technology priority is improving supply chain visibility capabilities to integrate higher quality data, according to a survey conducted for INTTRA, the multi-carrier e-commerce network for ocean shipping.
While numerous retailers have collected years of customer data, only 9 percent are leveraging the information in a structured, usable way, according to HRC Advisory (HRC), a strategic retail advisory firm and unit of Hilco Global.
Much like the early clamor surrounding "Big Data," it has become next to impossible to avoid the "Internet of Things" (IoT) as the latest cross-industry catchphrase. However, while all the hype might imply that IoT is new, the term has actually been around since 1999, when Kevin Ashton, cofounder of MIT’s Auto-ID Center coined it in his seminal article, "That 'Internet of Things' Thing."
Companies across all industries depend more and more on analytics and insights to run their businesses profitably. But, attracting, managing and retaining talented personnel to execute on those strategies remains a challenge.
Described as its most important analytics announcement in a decade, IBM has launched a set of cloud-based data analysis tools using its Watson artificial intelligence technology. The company's goal is to make data analytics - and business intelligence based on big data - more accessible to anyone in the enterprise who needs it.