What are the challenges of manufacturing enterprises in digital transformation?
Difficult to inherit experience
After the key workers leave,
Industrial knowhow is hard to inherit.
Lack of staff skills
Digital transformation requires talents with digital skills and expertise, but manufacturing enterprises may face problems such as lack of staff skills and training difficulties.
Changing digital demands
The pace of enterprise operation is fast, the response of traditional service providers is slow, and IT personnel are difficult to play their value.
Difficulty in copying digital capabilities
How to quickly copy the management and operation experience of the enterprise to a new factory.
Traditional processes are difficult to digitize
It is difficult to make scientific decisions because it cannot accurately grasp the factory situation.
After the key workers leave
Industrial knowhow is hard to inherit.
Poor data foundation
The islands are vertical and horizontal, the basic data is not accurate, and the coding system is not unified; Heavy automation, light digitization, poor foundation of equipment networking and data collection, no real visualization of the workshop.
Baote Zhishu provides consulting and solution services for customers
Baote Intelligent Digital products and consulting planning services cover six modules, including R&D data management, supply chain management, lean production management, contract life cycle management, financial management and IT consulting. Provide consulting planning, hardware services, software services and operation and maintenance services.
Specifically, it provides four levels of planning, including undertaking strategy, comprehensive planning, informatization construction and business improvement, provides consultation from undertaking enterprise strategy to strategy implementation, and uses its own methodology to improve the digital leadership of enterprises.
Insight and gap analysis Top level blueprint planning Transformation roadmap planning Design of digital governance system |
Analyze industry trends
Thoroughly analyze the enterprise development strategy and understand the demand of business strategic objectives for digital transformation through group strategic interpretation, high-level interviews, etc.
Pain points of research enterprises
Fully investigate the current situation, pain points and needs of enterprise business and digitalization through data research, interviews, questionnaires and other forms.
Draw lessons from and summarize benchmark enterprises
Analyze benchmark enterprises at home and abroad, global best practices and management ideas, and understand the practical experience of digital transformation within and across industries.
Planning transformation strategy
Based on the above analysis, plan the strategy, vision and strategy of digital transformation.
Preliminary construction of scheme
Based on the vision and goal of enterprise digital transformation, determine typical business digital scenarios, and propose preliminary ideas for digital solutions based on the analysis of typical business digital scenarios, key customer analysis, etc.
Confirm business capability
Sort out and discuss the overall business of the enterprise, identify the key capabilities of digital transformation of each business, and confirm the future business capability framework.
Planning data architecture
It is necessary to carry out data architecture planning around the main business line of the enterprise, identify the main business data, build a hierarchical data architecture, and design the flow and distribution of data.
Planning application architecture
Sort out and discuss the overall business of the enterprise, identify the key capabilities of digital transformation of each business, and confirm the future business capability framework.
Planning technical architecture
Based on the overall framework of digital transformation, identify the overall demand for technology in combination with digital scenarios and solutions, business/data/application architecture, define the technology hierarchy from the application layer, platform layer, infrastructure layer and other technology layers, and define the high-level technology architecture for cloud technology, Internet of Things, big data, AI and other new technologies.
Define implementation strategy
Based on the enterprise's business strategic objectives and actual business conditions, define the implementation strategy of digital transformation.
Design transformation path
Based on the planning results of the top-level blueprint stage, determine the overall project list of digital construction in the next three to five years, and design the evolution path of digital transformation based on construction strategies and principles such as architecture traction, urgency first, and foundation first
Decompose objectives and tasks
Define digital transformation projects, mainly including project objectives, scope, plans, budget estimates, project dependencies, etc.
Develop the framework of digital governance system
Based on the goal of digital transformation of the Group, as well as the practice of IT governance and management models of enterprises in the industry and digital benchmarking enterprises, a clear and executable digital governance system framework is formulated.
Clarify the digital governance model of the group
It includes the collaborative relationship and positioning of business and IT, the strategic vision, principles, strategies and organizational positioning of digital organizations, and the relationship between the digital organizations of the group and its subsidiaries.
Optimize operation mechanism
Sort out the organizational capacity supporting the digital transformation of the group, match the current actual organizational situation, and optimize the operation mechanism of digital organizations.
Four types of consulting services
Service process
Enterprise consulting
01 Team building
02- Internal handover
03- First interview
04 Implementation strategy and master plan confirmation
05- Project launch, publicity and implementation
01-系统环境规划与部署
02- 标准培训与业务调研
03-静态数据收集与整理
04-系统原型环境搭建
05-解决方案设计与验证
06-客户化开发方案设计（可选）
07-方案评审与确认
01 System environment planning and deployment
02 Standard training and business research
03- Static data collection and sorting
04 System prototype environment construction
05 Solution Design and Verification
06 Customization development scheme design (optional)
07- Scheme review and confirmation
Solution
System construction
01 Customization development and testing (optional)
02 System Configuration
03- Static data preparation and maintenance
04 System integration test
05 End user training
01 Formulation and release of online switching scheme
02 System operation process and system release
03 Establishment of system operation support system
04 Switching environment check
05 System Launch Mobilization
06 Dynamic data preparation and maintenance
07 Switching operation
Management Upgrade
Continuous support
01 Online operation support
02- Monthly closing and evaluation
03- Project Summary
04 Continuous service
Making factory digitalization easier
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CONTACT：18029291725
Digital integration solution for equipment manufacturing enterprises
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