Our Work
Since our establishment, in 2001, we have achieved to be considered as one of the most competent ICT solution providers having implemented a large number of complex telecommunication & Digital Transformation projects in various market segments.
Our success till now is largely attributed on our philosophy which embodies the following main characteristics:
- Build and retain lifetime customer relationships.
- Always deliver real business value.
- Try to maximize the return on investment.
- Adopt a win-win mentality.
- Seek to listen carefully and understand the pain/need prior to propose any solution.
- Always synergize and cooperate.
Expertise in Digital Transformation Projects
Ergoman has demonstrated its expertise in digital transformation projects through successful collaborations with leading companies like Plaisio Computers and KAFKAS. By implementing advanced solutions such as monday.com Work OS for marketing campaign management and Azure Data Warehouse for data utilization, Ergoman has significantly enhanced operational efficiency, decision-making, and team collaboration. These case studies highlight Ergoman’s ability to design and execute tailored IT solutions that drive business growth and innovation.
Plaisio Computers Case Study
Plaisio Computers, a leading Greek retail group, leverages monday.com Work OS to manage complex marketing campaigns. The challenge was coordinating multiple teams and numerous internal requests. Ergoman’s technical team developed processes to efficiently record, monitor, and execute tasks, ensuring smooth promotional actions. As a result, Plaisio Computers optimized campaign monitoring and significantly improved team collaboration. The platform’s ease of use and flexibility led to its adoption for additional corporate processes, managed by Plaisio’s internal power users.
KAFKAS Case Study
Ergoman, in collaboration with KAFKAS, implemented an Azure Data Warehouse to enhance data utilization within an S/4HANA environment, supporting KAFKAS’s digital transformation. The project addressed the challenge of managing vast data from multiple sources by designing efficient ETL flows with Azure Data Factory. This solution significantly reduced data preparation time, created over 70 daily updated reports, and improved data analysis capabilities. As a result, KAFKAS strengthened its position as a data-driven company, leveraging modern technologies like machine learning for better decision-making and identifying business opportunities.
