For supply chain organisations, managing a web of old and new technologies often feels like untangling a bowl of "legacy spaghetti". The term speaks volumes: layers upon layers of interconnected, yet siloed systems and data sources, creating a complex, tangled mess that’s hard to manage and even harder to transform.
Adding new technology solutions on top of the existing infrastructure may seem like a quick fix, but in reality, it only contributes to the complexity. Untangling this legacy spaghetti, however, can be managed "bite by bite", using approaches like the smart data fabric to build a unified view of data from all sources.
Chasing trends has created more complexity
The rush to implement new solutions, especially during times of disruption, has often led to more harm than good. Many supply chain organisations’ default during these periods is to adopt the latest technology, aiming to improve resilience or streamline processes. But instead, many find themselves left with a more fragmented system, where new solutions layered on top of old ones only worsened the data silos, adding to the “legacy spaghetti”.
This tangle of technology isn’t just inefficient, it prevents supply chain businesses from getting the most from their data and leaves them vulnerable to operational issues. This is particularly apparent for firms wanting to introduce intelligent analytics or AI to their processes, with the old adage of “garbage in, garbage out” never being more accurate than when referring to outputs from poor quality data.
Rather than piling on more solutions, the smarter approach is to optimise and build on existing systems, which are often reliable and robust. Instead of costly, disruptive replacements, enhancing what’s already in place can unlock substantial value.
Bringing order to chaos with the connective tissue
This is where a smart data fabric approach comes in. Built on modern data platform technology, the smart data fabric forms a connective tissue, accessing, transforming, and harmonising data from multiple sources, on demand. This enables organisations to leverage usable, trustworthy data to make faster, more accurate decisions.
A wide range of advanced data science capabilities are embedded within the fabric, including analytics, artificial intelligence (AI), and machine learning (ML). Together, these capabilities make it faster and easier for supply chain organisations to gain new insights and power intelligent predictive and prescriptive services and applications.
By allowing existing legacy applications and data to remain in place, this powerful technology enables supply chain organisations to maximise the value from their previous investments, such as existing data lakes and data warehouses, without having to “rip-and-replace” any of their existing technology and avoiding adding further complexity to the supply chain.
Building resilience and agility with smart data fabric
Resilience and agility are paramount, especially in a rapidly changing environment. The smart data fabric empowers these qualities by offering a clear, data-driven approach to handling complexity. By seamlessly integrating and harmonising data from multiple sources, it enables supply chain organisations to maintain continuity, even in times of disruption, by offering real-time visibility and insights and shortening the time to decision.
This approach minimises the risk associated with “legacy spaghetti” while enhancing the value of tried and tested solutions. Proactive decision-making capabilities transform how companies respond to changes in demand, supply disruptions, or shifts in the market. This level of adaptability helps supply chain organisations stay competitive without getting bogged down in layers of technology they may not fully utilise.
Tackle legacy spaghetti one bite at a time
For supply chain leaders, the message is clear: untangling “legacy spaghetti” is not about throwing out the old but about making solutions work smarter and more cohesively. By focusing on optimising and integrating existing solutions using a smart data fabric, supply chain organisations can effectively create a unified, efficient, and data-driven operation. This bite-by-bite approach to solving “legacy spaghetti” enables organisations to manage their systems in a way that leverages their strengths, avoids unnecessary complexity, and lays the foundation for ongoing innovation and agility.
