Case Study 1
A company in the manufacturing sector requested support in developing control and optimization systems. An analytical audit was conducted, including evaluation of processes, data, and internal constraints, applying manufacturing digital transformation methodology. A structured automation roadmap was then developed based on business process automation and contextual metrics. Additional internal resources and possibilities for integrating enterprise software solutions and analytical tools were considered. The project established a staged development model with measurable control points.
Case Study 2
A healthcare organization sought consultation for optimizing data and processes while maintaining strict information security standards. An analytical review was performed using healthcare IT consulting principles, including risk assessment and user scenario evaluation. Opportunities for integrating analytical tools and gradual deployment of data analytics consulting were explored to improve data accuracy. Additionally, a flexible implementation model for AI integration services was discussed while complying with industry requirements. The final strategy involved phased infrastructure development with potential for future system integration.
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