The value of the End-to-End approach is that in improving any particular supply chain function, we improve the entire system of supply chain processes that must work together. 
While our primary focus is on the problems that lend themselves to analytical techniques, we have found that our data-driven approach often yields significant benefits in more straight forward blocking-and-tackling efforts as well.

Our data-driven approach to supply chain problems is embodied in a framework that we call the 4 D's – Describe, Diagnose, Design and Deploy.

1.   We start by describing the symptoms of client’s current supply chain in a quantitative manner.  Segmenting data along various dimensions often reveals crucial insights into where the problem really lies.
2.   Next we diagnose the situation using a variety of analytical techniques (supply chain and process mapping, simulation, causal loop diagramming, etc.) to reveal the root causes of the problem.  We also quantify the “size of the prize” allowing us to focus design and deployment efforts on the highest-impact areas.
3.   We then design an effective solution that tackles the root causes of poor performance.  We work with our client to create a vision of the future and then develop the processes, tools, and models to implement this vision.  Often we use a rapid prototyping methodology, providing for several Plan-Do-Check-Act cycles.
4.   Finally, we deploy the solution, which will likely entail changes in processes, systems, and organizational responsibilities.  We work closely with the client organization and play particular attention to change management challenges, including communication, training, and the impact on performance metrics.