Z Shift is completely unique in its focus on simulation analytics, well beyond traditional simulation which often focuses solely on training. Instead, Z Shift uses analytics in simulated environments to solve problems, answer questions, and pose scenarios in order to obtain vital insights on processes, people, and practices.
Based on deep knowledge of simulation, analytics, business operations and processes, Z Shift provides companies with simulation analytics consulting services that are second to none. By finding the perfect balance of science and art, the Z Shift team provides companies with the ability to make the right decisions at the right time, more accurately predict future outcomes, and run a more efficient business.
What Is Simulation Analytics?
- uses simulation both for training and to quantitatively improve organizational performance
- enables organizations to ask and answer what-if questions about their people, assets, and processes
- helps organizations become more efficient via simulation-based training and analysis
The simulation analytics process is fundamentally based on building high-fidelity simulations of the domain being studied, from convenience stores to healthcare. Using these simulations as our core building blocks, we use them to create a) immersive training tools and b) data-driven analytics. Combining immersive, simulation-based training with simulation-derived analytics enables to provide our customers with organizational performance improvements.
The simulation analytics process is what we like to call a virtuous circle. We begin by developing high-fidelity simulations of our customers’ organizations. We use these simulations to model changes in people, assets, and processes that can improve performance. These same simulations then become the basis of immersive training tools for organizational personnel. As personnel train using our simulations, they become proficient with our tools…
We keep in mind at all times our three key principles that underlie everything we do:
Simulation can and will change the world for the better.
As a society, we have barely begun to scratch the surface of what simulation is capable of doing for us. Imagine a world in which we use simulation to learn about and train for anything in much the same manner that, say, pilots use simulation to improve their proficiency today.
Open is better than closed, but ecosystems are crucial.
We believe in open software and standards. That said, we believe that software ecosystems are even more important to progress in software (and fully compatible with the idea of open software and standards). A robust software ecosystem not only enables but encourages stakeholders to collaborate towards common goals.
If the standard is good, use it and then contribute to it.
We use open software and standards wherever possible, and when we do, we contribute to the overall effort to the maximum extent possible.