If you want business growth, there are many areas to look at. For instance, supply chain operations will allow you to grow your bottom line.
However, it can be overwhelming to look at the various areas you should focus on. Luckily, technology has simplified how you can improve your processes quickly and easily.
Why not look at building analytics into your supply chain processes? Analytics and management may seem like the same thing, but they are fundamentally different. Here is a look at the differences between supply chain analytics vs management.
What is Supply Chain Analytics?
Supply Chain Analytics is the process of analyzing performance indicators and trends in order to optimize supply chains. This analysis aims to identify where improvements can be made and by what means.
It brings together data from different systems to identify patterns and correlations that might go unnoticed. This information can then be used to make better decisions about how best to run the business’s logistics network.
What Is Supply Chain Management?
Supply Chain Management (SCM) is a management approach that focuses on optimizing the entire supply chain from raw material procurement through delivery to the customer. SCM involves overseeing the operations of all companies involved in the supply chain, from suppliers to distributors to retailers.
What Are the Benefits of Using Supply Chain Analytics?
Both supply chain management and analytics are necessary for the optimal operation of a company’s supply chain. A good supply chain will have accurate forecasting and timely delivery of products. Supply chain managers use various methods to achieve these goals, including inventory management, transportation planning, and manufacturing scheduling.
A study by Gartner, Inc. found that when organizations use supply chain analytics to improve the visibility and understanding of their global supply chains, it can result in savings of up to 30 percent in procurement costs. Additionally, improved visibility into the entire supply chain can help reduce product recalls, lower inventory levels, and ultimately generate higher customer satisfaction.
Improved communication between departments is another key benefit of using supply chain analytics. By identifying and resolving issues early, suppliers can avoid disruptions to production and decreased efficiency. In addition, if critical parts are not arriving on time or as expected, suppliers can be notified in advance to take corrective action. This helps keep the supply chain running smoothly and avoids costly penalties.
Finally, supply chain analytics help companies assess their performance against industry benchmarks. By comparing data from past instances, companies can identify areas where they are outperforming or falling behind and make necessary adjustments to ensure continued success.
How Is Supply Chain Analytics Different From Supply Chain Management?
Supply chain analytics is a field that uses data and analytics to help organizations manage their supply chains. There are some key differences between supply chain management and supply chain analytics, which can help optimize the flow of goods and ensure optimal delivery times.
One key difference between supply chain management and supply chain analytics is that supply chain management is typically focused on managing a company’s entire supply chain, while supply chain analytics is focused on specific pieces of the supply chain. This can help companies identify where they are having problems and focus their resources on those areas.
Another key difference between supply chain management and supply chain analytics is that supply chain management typically focuses on optimizing the flow of goods, while supply chain analytics focuses on improving the quality of the goods. By focusing on improved quality, companies can reduce costs and improve their reputation.
Some benefits of using supply chain analytics include improved decision-making; increased efficiency; reduced costs, and increased customer satisfaction. Because supply chain analysis can identify problems before they become big issues, it can help companies avoid costly mistakes and IT disruptions.
The main difference between supply chain analytics and supply chain management is that supply chain analytics uses data and technology to improve the efficiency of the supply chain, while supply chain management is responsible for the planning and execution of supply chain operations.
While both are important for the success of a business, supply chain analytics is necessary to provide the insights needed to make informed decisions that can optimize the supply chain, while supply chain management is responsible for ensuring that those decisions are executed effectively.
Both supply chain management and supply chain analytics have their place in any organization’s digital transformation plan and understanding the distinctions between the two will help you make the most effective decisions for your business. In this article, we outlined some of the key differences between Supply chain analytics and supply chain management and mentioned both systems’ advantages and disadvantages. Hopefully, this article was helpful.