About 15 years ago, I changed industries from healthcare to logistics. As I am an IT professional, you might think it was a jump from an antiquated, paper-based world to a high-speed, technologically advanced one. Actually, I’ve been surprised at the extent to which the exchange of supply chain data in the logistics world remains old-school or simply manual.
“Streamline.” “Optimize.” “Deep Dive.” These buzzwords are some of the worst offenders in terms of overuse and annoyance. But despite the eye-rolls they trigger from business professionals these days, they are actually pretty good words.
They are a competitor of sorts, but I love what Big Brown does for the supply chain. They do a great job using their resources to inform and educate the public about our industry. Everyone knows UPS, because just about everyone (I'm assuming) has had some interaction with their service at least once in their lives. People probably think of UPS first as a package delivery company. However, the delivery of that package involves so much more.
There has been a lot of talk in the industry publications about "big data." How can companies use terabytes and terabytes of data to gain supply chain insights… how do you accumulate it… how do you clean it… and how do you analyze it? There is no doubt that more data - properly stored and analyzed - adds value.
Data warehouses are centralized data repositories that integrate data from various systems, applications, and sources. The data warehouse is an environment separate from the operational systems, and it is completely designed to provide for analytical and ad-hoc reporting, queries, and data analysis. Because the data warehouse is in an isolated environment, queries, data mining, and analysis can be performed without any impact on the operational systems.
Over the past few months, a catchy phrase has juiced up the marketplace -- "BIG DATA."
Social media is here to stay…at least until the next big thing comes along.
Not too long ago, CPG companies struggled to prepare themselves for the electronic age. Now, companies do everything they can just to keep up. Smart companies continually experiment with how to best leverage the digital age.
Data can be defined many different ways. Depending on whom you ask and the line of business they are in, you will likely get different definitions. However, there is no denying that data is information, and businesses thrive on analyzing data in order to make faster, smarter decisions.