Increased capabilities in supply chain management and decision intelligence tools, along with complex tech stacks, have put a premium on the ability to integrate, synthesize, and use disparate data for faster transformations and long-living business benefits.
Introduction
In the quest to drive a more responsive and efficient supply chain, transformation efforts often bog down due to poor data access or quality. Improving the cost, speed, and efficiency of data acquisition and utilization in the supply chain is not just a priority but the core enabler of competitive performance.
Supply chains remain under pressure to be more resilient to disruption and cost-efficient, with almost all organizations on a longer-term digital transformation journey. However, these transformation efforts frequently languish because of limited access to key data, the need to source data from multiple internal and external sources, or poor integration between key systems.
Key Takeaways
- Poor or insufficient data can slow or diminish the impact of supply chain transformation efforts.
- Conversely, more complete, higher-quality data can accelerate time to value for transformation projects.
- Data access drives value for supply chain organizations and the ISVs that sell applications to industry.