Big Data

Supply chain leaders target inventory, accuracy, and visibility with analytics, but must first escape from limited legacy systems.

Driven by significant advances in sensor technology, mobile computing, mobile data and vehicle connectivity, real-time visibility is no longer limited to aggregate information on stationary items at distribution and warehousing facilities.

Digital transformation is one of the top concerns and areas of focus for C-Level executives, and there is a growing awareness within senior managers that transforming supply chain planning capabilities to take advantage of the emerging technologies will provide a necessary competitive imperative.

The global economy relies on freight services to move goods from one side of the world to the other. The door-to-door freight delivery chain can be extremely complex as goods move across international borders using any combination of land, sea and air carriers.

In these 2 papers, Elemica provides a quick primer on how to handle complex sourcing events, and how to leverage big data and analytics in your next transportation request-for-quote.

This is the first book on prescriptive analytics that's written specifically for business leaders and explains the transformational value prescriptive brings when it's in the hands of business leaders rather than Data Scientists or IT leaders.

The Internet of Things, or IoT, is moving beyond a catchword to real-world utilization, however, not all stakeholders fully understand this transformative technology, enterprises must lay a solid foundation to ensure success into this rapidly evolving landscape.

Enterprise Sensor Integration or ESI integrates myriad sensor technologies that track, monitor and control assets and workflow processes, ESI also integrates smart Internet-enabled devices, or Internet of Things technologies, into one intelligent and interactive network.

Industry 4.0 represents the ultimate end game of big data, connected devices and similar technologies.

Internet of Things (IoT) connectivity is still early days in warehouses, though several suppliers are coming up with predictive modeling and analytics to optimize DC operations based on granular data from IoT or other data feeds.

Create a modern supply chain that is transparent, intelligent and predictive, establish greater visibility into supply chain data and processes and by leveraging cognitive technologies, supply chain organizations can both predict and mitigate disruptions and risks and deliver more value to the business.

The growth of analytics, machine learning and cloud computing is making a significant impact across businesses and commerce worldwide. Access to more data and insight on how your operations work, how your devices are performing, or what technology investments you need to make can significantly improve the way many organizations operate and grow their business.

The proliferation of connected devices has transformed DCs from opaque boxes with insufficient visibility of inventory to a transparent hub that offers detailed updates of order status.

When looking to leverage new technology, each warehouse must assess their business and determine the solutions that offer not only best practices that are tried and true for today’s customers, but also understand what new customers may require in the future.

Strategic technology partnership to deliver big data and analytics for retailers, manufacturers and wholesale distributors.