Ken Titmuss

Special Guest Blog Post written by Mark Holmes with InterSystems   A data gateway provides unified access to supply chain data from various sources, including enterprise systems, supply chain applications, data feeds, data warehouses, data lakes, data marts, and business entities. It helps companies meet their supply chain challenges head on and be ready for supply chain disruptions. Quick and easy access to live and historical data is critical for supply chain managers and practitioners, data analysts, stewards, engineers, and supply chain professionals in any industry. Here are just a few examples of industries that can benefit from a supply chain data gateway:   Fast Moving Consumer Goods and Consumer Packaged Goods In FMCG and CPG, the ability to make rapid, data-driven decisions is crucial for staying competitive in a fast-paced market. Companies can optimize their supply chain operations by using a data gateway that provides a unified and harmonized view of data. For instance, a logistics manager can monitor real-time data on inventory levels, customer orders, and transportation schedules to make better informed decisions and reduce lead times and costs while improving customer satisfaction. Healthcare In healthcare, a data gateway can improve visibility and inventory optimization by providing a…

written by Chris Cunnane with InterSystems   Supply chain leaders are under constant pressure to move faster, reduce costs, improve resilience, and respond to disruptions in real time. Yet despite billions invested in technology, many organizations still struggle with stockouts, delayed shipments, excess inventory, and unreliable forecasts. The problem may not be the supply chain itself. It may be the data behind it. Most organizations today operate with more supply chain data than ever before. ERP systems, warehouse management platforms, transportation tools, supplier portals, IoT devices, and analytics dashboards generate a nonstop flow of information. On paper, this should create unprecedented visibility. But visibility is not the same as confidence. When inventory data is delayed, supplier updates are inconsistent, and demand signals are fragmented across systems, organizations are forced to make critical decisions using incomplete or unreliable information. The result is a distorted picture of reality, and costly mistakes follow. Companies expedite shipments they didn’t need. They over-order inventory “just in case.” They miss shortages that were hiding in plain sight. And they spend valuable time reconciling conflicting reports instead of solving problems.   The Real Problem: Fragmented Data The challenge isn’t a lack of data. It’s that the data…