For years, companies have used digital supply chain technologies to improve service levels and reduce costs. But the inability to connect disparate systems, provide end-to-end visibility into the supply chain, and crunch massive amounts of data, among other issues, has prevented many companies from achieving the full potential of their supply chains. Now, thanks to the wide availability and adoption of much more powerful digital technologies, including advanced analytics and cloud-based solutions, companies are generating dramatically better returns on their investments.
In today's competitive global marketplace, manufacturers face a daunting challenge: ensuring production moves seamlessly within integrated supply chains while improving compliance and minimizing costs. To do so, plant managers need a complete view of operations, inventory and resource allocation - and that's exactly what business intelligence dashboards deliver.
Big Data has led to a discussion of predictive analytics in supply chain management. I'm not sure we have a good understanding in the field of how predictive analytics differs from forecasting.
The good news it that about half of U.S. companies say they now have some form of big data initiative in place, according to a recent study. The bad news: Few have managed to reach their data-related goals.
A major focus of consumer electronics now is the Internet of Things, but what consumers don't know about data policies around the latest technology trend could hurt them.
Federal regulators served notice last week: They're watching how businesses use - and possibly abuse - consumers' personal information. And that's great. It's about time more official attention was paid to ways that companies invade our privacy. But federal authorities can do more, much more, to level the playing field.
A leader in mobile computing technology didn't always know how its products were operating in the field until it hooked up with a provider of mobile device analytics solutions.
