Using data analytics and business frameworks to increase supply chain efficiency
How do you use data analytics to maximize supply chain efficiency? Kunector developed a Supply Chain framework and a structured approach that help organizations to obtain actionable insights from their supply chain.
New and disruptive technologies and growing amounts of data affect the supply chain constantly. As a consequence, organizations struggle to guarantee an agile, flexible and transparent supply chain; one that is capable of coping with a continuously shifting playing field. Big Data and Advanced Analytics can help with this struggle. It can help to improve decision making and to ensure interoperability throughout the supply chain.
It can provide fact-based insight in the major risks for the supply chain and mitigate them by calculating scenarios. It can help to organize the reverse logistics process. And these are only a few of the many solutions that data analytics can bring to your supply chain. But how to find out which specific Supply Chain Analytics solution can benefit your organization? And how to implement them? Kunector can help.
Deloitte’s Supply Chain Analytics approach is not a one-size-fits-all solution, but a solution that is tailor-made for your organization. We developed a framework that consists of different supply chain analytics solutions and that covers all parts of the end-to-end supply chain.
Based on our experience in advanced analytical engagements, we developed a structured approach. In six steps, we go from assessing the current situation to the implementation of a specific solution that can vary from Advanced Demand and Inventory Planning, to Supply Chain Visualization or Advanced Transport Optimization. Each step allows looping back to previous steps to apply the insights gained in subsequent steps.
Why Kunector ?
Kunector has extensive data analytics experience in the supply chain landscape, from working with many different clients. Our Supply Chain Framework is a direct result from these experiences and consists of solutions that proved to be highly valuable for our clients. Our comprehensive and flexible methodology for analytics projects ensures that we can deliver business critical insights within time and budget.
A typical analytic Insights project takes eight to twelve weeks, following three main phases connected to our approach. To ensure maximal knowledge transfer in both ways, we always work closely with key experts in our client’s business and IT departments.