We're constantly seeing new uses for big data. So much so that it's not even necessary to describe what the term means. Is the use of huge amounts of amorphous data making us better at our work, or is it adding layers of abstraction over the realities of the world?
You already know that IoT is a term used to loosely identify items that have been imbued with enough intelligence and communication abilities to send messages across the internet. First of all, this means that these items are not human in the ways we normally think of humans using computers to send information via the Internet. But that doesn't mean that some of these 'things' can't be humans, or at least humans carrying with devices that do the communicating for them. The connections and the information are triggered by conditions as they change.
3D printers are available to everyone with even a small budget. That means that even though what they produce may not be up to the quality level you would manufacture or sell yourself, the ability to directly control, modify, and create items is moving to consumers. And they are taking advantage of these small printers matched with predefined designs and low cost design services.
We’ve talked about supply chain control towers over the years but it’s time to migrate from something that’s simply observing and controlling to the notion of a full environment that provides a set of underlying facilities. In other words, an operating system.
It’s customary to think of supply chain professionals as department managers or technologists or even as programmers. But the role of today’s supply chain professional is changing to be a much more complex and responsible position. And it’s because the supply chain is becoming the heart of the business world. No longer is it possible for a company to simply have a great product. And letting the world know about it and be enthusiastic to know more and even motivated to buy just isn’t enough. Products now need to be available through multiple channels and deliverable based on customer preference. The complexity of today’s supply chain means the people responsible for it need to be more.
Business owners have been using analytics to analyze their business data for many years. The real question is, what do we do with that data? Up until recently, there really hasn't been much guidance when it comes to interpreting and utilizing that data to meet your business needs. However, in today's highly competitive supply chain it is more important than ever to know how to utilize those analytics to solve problems in your supply chain. Think about it: If you can't use that analytical data to solve real world problems for your business, what is the point of the analytics in the first place?
To say that software is moving to the cloud would be like coming late to the party. Yes, there is still software on your desktop machines and on your servers. But even the most ardent and heavyweight applications have found their way to cloud based platforms. For the supply chain this is particularly good news (and good practice) since the essence of supply chain business is distributed around the globe.
What are our collective perceptions of SaaS, Cloud computing, and Hosted solutions. Of course we are mainly interested in supply chain solutions, but the definitions appliy to any application. If you're not completely certain, here is a primmer on the major differences and some discussion of the advantages of each. This falls far short of a full detailed explanation, but the basic concepts are accurate.
The end of the supply chain (retail) is probably the only place that makes any sense for any kind of social media activity. At least that's the common belief. What would a supplier, manufacturer, 3PL, or any other part of the supply chain hope to gain from a Facebook page, a Twitter stream, or even a Google+ account?
I've harped on the use of big data in the supply chain a few times already. In fact, historically one of the issues with the supply chain in general and EDI specifically is the amount of data generated by the plethora of transactions moving between trading partners. And as the demands for visibility increase so does the number and complexity of the documents.