

Essentially, that’s what Implementation Engineering℠ helps to determine for both operational processes and the people who perform the work. In short, Implementation Engineering℠ plans the initiative journey so that it will be fast, efficient and safe and arrive on time.
There are two independent components to our Implementation Engineering℠ approach: Organizational Engineering and Operational Engineering.
Organizational Engineering ensures that the people part of the implementation equation is fully understood prior to the launch of a critical initiative. Operational Engineering ensures that the myriad of small changes required to the business value chain are identified and prioritized to optimize the implementation process. Implementation Engineering℠ then seamlessly marries the organizational solution with the operational solution to create the foundation for sustainable initiative results.
Managing change effectively with successful outcomes is one of the most significant challenges that confront organizations in their attempt to transform in a dynamic environment. Published data suggests that the success rate of change programs is only 20% to 60%, depending on the type of change initiated. We’ve demonstrated a much better success rate when a process for change is “engineered” to alter people’s actions, reactions and interactions, and hence move the organization’s existing state to some future desired state.
Organizational Engineering is based on rigorous industrial research using valid and reliable techniques. These include both quantitative and qualitative investigations into the current state. Multisource data points are obtained and triangulated to delve into the core of the organization. This helps build an implementation approach that will realize the required initiative changes and ensure success because it is comprehensive and aligns each level of the organization while identifying development needs critical to initiative success.
Concurrent with the organizational analysis, an operational analysis is used to identify what needs to change from an operations perspective to accomplish the intended future state. Our unique, data-driven operational analysis approach is different because it is rational and granular in its ability to identify improvement opportunities. We have learned that due to the rigor of this data-driven approach, acceptance of new operational solutions is accelerated because our approach reflects reality, not opinions. Often it is too easy to hold a thumb in the air and estimate what needs to be done to make an improvement happen. We differentiate ourselves yet again technically through our unparalleled data-driven operational analysis methodology.
The Operational Engineering work within Implementation Engineering℠ will take our data-driven analyses and use those statistics to determine, through priorities based on impact to the business, projects and resource requirements to implement and sustain improvements, including all the associated financial benefits.
