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How Data Integration is Reshaping Supply Chains

How Data Integration is Reshaping Supply Chains

There is no doubt that disruption has tested agility, resilience, and flexibility of the global supply chain system. The supply shock and demand shock have exposed vulnerabilities in the production strategies and supply chains of firms just about everywhere. As a consequence of this, retailers, manufacturers, and distributors have highlighted inefficiencies in processes like: 

Order-to-Cash: This is an important business process that helps units deliver delightful CXs, increase revenue, reduce operational costs, and minimize risks. 

Procure-to-Pay: Extremely essential for manufacturers and retailers in order to ensure supply chain continuity at the lowest cost and of top-notch quality. 

Load Tender-to-Invoice: A mission-critical process for logistics organizations to embrace load tenders efficiently and deliver on them without delay. 

Companies that are struggling to manage these processes and respond to the rapid shift in the supply chain are bound to fall. The key is to rely on technologies that can help them streamline these processes effectively. In doing so, they need to integrate, analyze, and use supply chain data with speed and ease. 

The Key is to Integrate Supply Chain Data Effectively 

Supply chain data is becoming complex with disruption at its peak. Organizations need to consolidate all the data they gather from supply chains and partners and analyze the insights to make informed business decisions. The role of data integration comes into play here. 

Data integration solutions enable businesses to integrate diverse, highly complex supply chain data and gain insightful information for improved decision-making and value generation. By allowing companies to gain real-time visibility into operations, it helps them mitigate delays and, in turn, be more responsive towards disruption. 

Another reason why data integration is crucial in managing supply chain disruption is it enables seamless data exchange across systems. This reduces the problem of data silos and allows companies to analyze supply chain data without any hurdle. 

Although data integration is important, organizations that rely on point-to-point integration fail to use the supply chain data and therefore understand the intricacies of shifting supply chain systems. 

Companies that can reimagine their data integration approach through self-service can leverage supply chain data for faster value generation. In fact, incorporating self-service integration can empower companies to create data connections and drive data exchange across supply chain systems. Even non-technical business users can create onboarding connections by pointing and clicking through easy screens. At the same time, IT can take up the role of governance and focus on more important tasks instead. 

With rapid advances in machine learning and security protocols, non-techies can rely on AI to understand and define the semantics and make data connections accordingly. To add, a single click is required to retrieve, break down, and manage multi-dimensional, complex data streams in real-time to facilitate modern-day business transactions.

In current times, it could be a challenge for companies to overcome disruption in their supply chains. Those that will modernize their data integration technologies and build their capabilities can navigate the disruption easily. Others may slip back to conventional ways to manage supply chain data and deliver value, while still being vulnerable to shocks and disruption.