1. Setup with Microsoft Server and service
    • Domain
    • DHCP
    • Group Policy
    • Login Script
    • Webserver
    • SCCM – Microsoft System Center Configuration Manager
    • Microsoft RMS – Right management service
  2. Business Intelligent (Frontend presentation – Client side)
    • Excel frontend
    • Microsoft PowerBI
    • Tableau
  3. Business Intelligent (Server side)
    • BI Data modeling
    • BI process (ETL)
    • ETL process using Microsoft platform (SQL server, integration sever and analytic server)
    • Reporting server
  4. Data analytic with open source platform (Python with related ML and AI libraries and tools)
    1. Analytic objectives (diagnosis, forecasting, factors relationship, optimization,..)
    2. Data process review and data governance
    3. Choice of model, algorithm and tools
  5. IT application development
    • Business objective
    • Application Role
    • Use cases
    • Business process design (Cross functional Diagram)
    • Security and access control method
    • High level project planning
    • System architecture Design
    • Data structure Design
    • Multi system communication and interface
    • User Interface design
    • Platform selection and infrastructure
    • Detail level Project planning
    • Agile project execution
    • Coding
    • Testing
    • Data preparation or migration
    • UAT
    • Training
  6. VR/AR and Digit Twin
  7. Enterprise systems
    • ERP (Entreprise resource planning) – A framework application for most of a company operation from sale, production, manufacturing, logistic and finance.
    • PLM (Project life cycle management) – A framework application to manage engineering database and design process. Key feature is integration of CAD and engineering information.
    • CRM (Customer relationship management), – Manage customer profile, sale forecast and opportunity, product mix, win/loss analysis and service management
    • MES (Manufacture execution system) – execution result of detail manufacturing plan to actual workshop execution with monitoring. It may link up with QMS (Quality management system)
    • Industrial 4.0 – using internet and information technology to link up above systems covering customer, vendor, manufacturing plants and logistic. Create next level of efficiency, integration and productivity with real-time optimization on large virtual entrepreneur level.
  8. Digital Enterprise
    1. Company culture and person readiness for digitization
    2. Knowledge management Framework
    3. Process automation and intelligence
    4. Logistic and factory automation