The past ten years have undoubtedly been proud of China's manufacturing industry-China's manufacturing industry accounted for 19.8% of the world's share in 2010, which was higher than the US's 19.4% and became the world's first. By 2019, this proportion has reached more than 30%, and China has further secured its position as the "world factory".
But now, "Made in China" is full of difficulties and development is difficult. The demographic dividend has faded, labor costs have risen, and land resources are in short supply, all forcing the manufacturing industry to start thinking about transformation. Even Jack Ma is asserting that in the next ten to fifteen years, the pain faced by traditional manufacturing will far exceed today's imagination. If an enterprise cannot transform from scale and standardization to individualization and intelligence, it will be difficult to survive.
According to data released by the National Bureau of Statistics, from January to November 2019, the national industrial enterprises above designated size achieved revenue of 95.00 trillion yuan, of which the profits of high-tech manufacturing and strategic emerging industries increased by 4.8% and 3.0% over the previous year. Obviously better than the average level of industries above designated size. With the help of digital transformation, these companies have "turned the tide" and walked out of the "hard core" road of manufacturing.
1. Digital transformation has become an industry consensus
The traditional manufacturing industry must accelerate the digital transformation has become the consensus of the industry. Whether it is the global epidemic or the hot new infrastructure, it has pressed the "fast forward button" for the digital transformation of enterprises.
1. Environment and policies: The
demographic dividend has disappeared and labor costs have risen, which has weakened the comparative advantage of Chinese manufacturing in labor costs in global competition. This means that manufacturing companies must rebuild their competitiveness in terms of improving labor productivity and optimizing supply chains. In addition, the country’s newly launched new infrastructure and a series of policies are supporting the digital transformation of manufacturing companies and supply-side reforms.
2. The survival status of the enterprise:
At present, the manufacturing industry is facing the dilemma of low added value, market demand is under downward pressure, and competition in the industry is intensified. How to reduce costs and increase efficiency, improve product quality, and achieve energy saving and consumption reduction has become a problem that every enterprise has to think about.
3. The status quo of informatization
Most companies are building ERP and MES systems, but each system is independent of each other, and the phenomenon of information islands is particularly serious. Although there is a large amount of data, the data is not really used.
2. Digital operation is the only way to digital transformation
The goal of data-based operations is to improve customer management capabilities and refined management capabilities. Through the unified enterprise data platform, provide unified data support for enterprises, and finally form a unified enterprise data application analysis platform. Including data warehouse data model, corporate data governance, data quality improvement; through the establishment of advanced data warehouse model, learn from the industry's advanced management concepts, and promote the further improvement of the company's management level. At the application presentation layer of the data warehouse system, a unified external data platform is provided, a complete and unified data exchange standard is defined, and a unified data interface is provided to meet the requirements of departments at all levels. Establish a unified application analysis platform on the application, realize the company's business theme analysis, and provide decision support information and operational support for the planning and implementation of the company's operations.
Refined operation is the requirement of the source industry itself to improve quality and efficiency. In the red sea of industry competition, in addition to diversification, refined operations are required to control costs and increase profits. In accordance with national policies and raw material price fluctuations, quantitative forecast prices, combined with qualitative market judgments, ensure that sales performance is achieved and achieve volume-price synergy. Through data analysis and application, it drives the innovation of traditional manufacturing business and conducts differentiated competition in the Red Sea competition industry.
Third, the landing route of data operation
The implementation of the project promotes the improvement of various capabilities of the enterprise, improves the collection and use of enterprise data, forms the data assets of the enterprise, and then drives management reforms and business innovations to achieve refined management, thereby building a customer-centric data operation system. It is generally divided into several steps. Firstly, realize the digitization of marketing and customer channels, focusing on externally driving revenue growth; then use the digitization of operations and processes to seek the growth of gross profit margin and net income; finally, through the digitization of business models , Simultaneously increase revenue and profit.
4. Data-based operation index system
Through the stratification of the index system, the division of tasks is clearly defined to strengthen mutual cooperation and achieve the most optimized and most efficient resource allocation to reduce the waste of various resources.
To sort out and refine the indicator system, business analysis indicators can be modified according to the different needs of the enterprise.
5. Choosing the right data analysis platform is the key
If the success of digital transformation determines the future survival and development of a company, then whether the company uses the data analysis platform has a great impact on digital transformation. Using Smartbi's one-stop big data analysis platform, a more efficient, more autonomous, and more accurate data-based operation will help the manufacturing industry break the ground in the future.
1. More efficient: Respond in a timely manner and improve the management level.
In the manufacturing and quality control links, companies can check data through the production kanban, and improve the production process and quality inspection based on the data, handle failures in time, complete quality inspections efficiently, and improve products quality
In the decision-making process, a more intuitive display of the company's operating conditions, discovery of problems, and realization of the leadership's requirements for data-assisted decision-making, data-based operations. Help companies analyze the reasons for planning deviations and improve the level of refinement of management
2. More autonomy: Simplify processes and improve efficiency.
Smartbi's one-stop big data analysis platform opens up data to business departments for self-checking, reduces the communication cost between business and technical personnel, improves data flow speed, simplifies processes, and improves efficiency . In addition, business personnel can view data anytime and anywhere on their mobile phones and respond to data in a timely manner.
3. More accurate: Data empowerment, cost reduction and efficiency enhancement.
Through the data dashboard, middle managers can clearly know the current business progress of their respective departments, the ratio of personnel, timely control production plans and progress, and personnel customize reports to improve work efficiency. In addition, users of all levels realize mobile office, monitor the execution at any time, and deal with business problems in time