In today’s fast-paced business world, rapid, data-driven decisions are crucial to maintaining a competitive edge. This is especially important for Intel’s supply chain, which spans order-taking, resource procurement, manufacturing, testing, and final delivery of product.
• Collapses reporting and transaction layers.
• Consolidates database, data processing, and application capabilities onto a common platform, which eliminates multiple points of failure.
• Uses real-time data, which means fewer data hops between online transaction processing applications and analytic applications. This reduces data latency and time-to-decision, which helps Intel maintain optimal inventory levels.
• Improves data quality by eliminating the need to reconcile data across systems.
• Improves supply chain workflow through a common user interface for multiple applications (which also reduces the amount of training and support that IT teams need to provide to Intel’s business units).
The real-time nature of the in-memory data platform supports Intel IT’s goal of a dynamic supply chain that can instantly respond to changes. More importantly, we will be able to build on what we learn with the supply chain implementation, applying real-time data in innovative ways in many other areas of the enterprise.
As the IoT points the way to greater revenues, a large number of factories are still disconnected from automation processes.