Modernize Your Supply Chain with Smart, Connected Analytics
Companies across all major manufacturing sectors are struggling to balance costs with increased expectations to deliver quickly and accurately. They must manage these pressures within the complex landscape of hundreds or thousands of supply chain partners, located all over the world, with disparate systems and data. Improving the performance of a complex global supply chain depends on information. For the information to be effective, it needs to be smart and connected.
- Smart: Decision makers need to be able to analyze trends, performance and events without relying on IT. The data must also be up-to-date and consistent across the value chain, so that the consequences of updates in one process or region are accurately reflected across the ecosystem. Advanced analytics, such as predictive algorithms, scoring, and trend identification, should be automated so that decision makers can bring business context to data analysis techniques, without relying on data scientists who lack understanding of the business problem.
- Connected: Different parts of the supply chain require different sets of data to make decisions, but eventually the decisions connect. And while individual teams analyze granular information to make decisions minute by minute, ultimately, executive management needs an enterprise view with rolled-up KPIs to see how the business is doing overall. A connected supply chain eliminates separate P&L reports by region, product, or factory. A connected dashboard can provide a unified view with drilldown into the problem areas and anomalies.