Digital Transformation Consulting

Digital transformation is the trend of the times, and all industries are actively engaged in it. With its 20 years of industry experience, DDTS can provide a down-to-earth digital transformation consulting solution for the process manufacturing industry, from digital top-level planning to domain-level digital scene design, using digital technology to build a complete internal operational management loop for enterprises and an efficient collaborative ecological network between enterprises. This helps enterprises to continuously improve their operational management capabilities, evolve new business models, inject new growth momentum into enterprises, and enhance their business competitiveness. Currently, DDTS‘ digital transformation consulting business mainly includes digital planning, digital operations, and data governance.

1. Digital planning

Digital Planning

From a holistic perspective, standing at the overall height of the future development of the enterprise, with a digital mindset, comprehensively analyzing the core value chain processes of the enterprise and combining the digital status, in order to achieve the strategic goals of the future development of the enterprise, formulate basic planning for the digital development goals and directions of the enterprise.

2. Digital operations

IT system lifecycle management business process

In the field of digital operations, DDTS provides IT governance consulting and IT system construction services, including digital control diagnosis, clarifying the IT governance planning direction, planning all aspects of the IT governance system, designing the IT governance implementation roadmap, selecting IT systems, and implementing and landing the application of IT systems. These services help IT become the core force that supports and promotes business innovation, achieves business strategic goals, and gains competitive advantages.

3. Data Governance

dataGovernance Business Process

To manage data across its entire lifecycle, we will establish a comprehensive data management architecture system that is compatible with the application architecture and data architecture of the enterprise. We will also design top-level management policies and operational management processes to ensure that the enterprise manages data and information quality in the right way.