Logistics, Supply Chain
Data-driven Supply Chain Strategies: Tecsys Named a Top 100 Logistics IT Provider
Each year, Inbound Logistics researches the supply chain challenges of business logistics managers and measures those against the capabilities of technology providers across the industry to develop a list of the Top 100 Logistics IT Providers.
Analytics, Business Intelligence, Supply Chain, Warehouse Management
Big Data Implications
Big data and big data analytics pose a series of implications and challenges. Organizations that seek to become analytical competitors must have an established analytics culture consisting of well trained employees who are using the right enabling technologies. However, these organizations face challenges maintaining consumer privacy while they collect and use sensitive information.
Analytics, Business Intelligence, Supply Chain, Warehouse Management
Big Data Analytics
Big data is all around us. As we have seen, big data is characterized by its volume, velocity, and variety (the infamous three 'V's). Great, you have a lot of data...now what? Well, these untapped 'dark data assets' give rise to vast opportunities for those organizations that seek new ways to compete. Studies have shown that organizations that compete on analytics by focusing on their core competencies fare much better than those who do not. Some have gone so far as to call big data the ‘new oil’. In part two of this four part series, we will take a closer look at big data analytics.
Analytics, Business Intelligence, Supply Chain, Warehouse Management
Big Data Demystified
With the advent of big data, organizations are beginning to recognize the impact that big data and analytics can have on their ability to compete in their respective industries. In a recent study by MIT and the SAS Institute, 67% of leading organizations firmly believe that analytics give them a competitive advantage. This recognition has revealed that it is not only about the volume, velocity and variety of the data at hand, but having the right culture, skillsets, and technologies in place, while respecting the privacy of consumers. This post will be the first of a four part series aimed at demystifying the term 'big data', and touching on opportunities, implications and challenges related to big data.
