Knowledge transfer is a prevailing doctrine at Data Science Automation, and it includes:

• clear standards for operator and developer documentation,
  
• hand-on mainstream product training to teach you how to most-effectively utilize our automation programming and engineering tools, and
  
• detailed, application-specific project training covering both design and implementation strategies.

No system is complete without the detailed knowledge transfer from our staff to yours. Don't choose a systems integrator that will hold your code hostage for lucrative maintenance and quick-change contracts. We design systems that are formally planned, clearly understood and well documented. Any client the selects our knowledge transfer options will be equipped with ample knowledge to maintain and support our systems independently.

With so many options, in our Technical Training consulting and implementation efforts, we carefully analyze and consider each of these factors in designing the best overall training strategy with the lowest TOTAL cost of ownership for our clients.