Recently, the China Academy of Information and Communications Technology's "Foundation Building Plan" released the "High-Quality Digital Transformation Technology Solution Collection (2023)", and Digital Network's "Digital Collaborative Management Solution" was successfully selected.
With the rapid development of technology and increasingly fierce market competition, digital transformation has become the key to the sustainable development and competitiveness of enterprises. However, in the process of digital transformation, many companies face many pain points, such as the lack of advanced technologies and solutions, difficulty in achieving data interoperability and integration, and the inability to effectively improve business efficiency and scale. These problems not only hinder the process of digital transformation of enterprises, but also affect their business development and customer experience.
In order to promote the development of industries related to digital transformation and help the demand side of digital transformation quickly complete digital transformation, the China Academy of Information and Communications Technology's "Foundation Building Plan" officially launched the collection of the "High-Quality Digital Transformation Technology Solution Collection (2023)" in August 2023. , the collection targets are enterprises on the supply side of digital transformation capabilities. The "Project Collection" aims to select a group of enterprise digital transformation technology solutions that have industry leadership and promotion and application effects, thereby promoting profound changes in social production methods, lifestyles and governance methods in the digital economy era.
It is reported that after three months, the Academy of Information and Communications Technology received more than 300 applications for related technical solutions from more than 200 companies, covering areas including: data analysis, artificial intelligence, IT operation and maintenance, cloud services, technology development, sales management, general office , marketing, human resources, enterprise resource planning, industrial digitalization, data governance, Internet of Things, customer service, financial and taxation legal affairs, digital risk protection, financial digitalization, low code, AI large model, 18 subdivisions. In the end, more than 140 related technical solutions were selected through formal review and review by the Academy of Information and Communications Technology. Digital Collaboration was successfully selected into the 2023 first edition of the "High-Quality Digital Transformation Technology Solution Set" with its digital collaborative management solution.
"Shuhuantong" was established in August 2021. It is a product that allows enterprises to achieve cross-application connections and hyper-automated IPAAS at low cost. It has become the leader in the iPaaS field and the leader in application connectors.
Datalink is a one-stop enterprise-level application integration platform that uses the simplest, most intuitive and efficient connection method to solve the problem of data islands and application collaboration for enterprises at low cost, realize data connection and process automation between applications, and help enterprises solve data flow and In order to reduce the inefficiency problem caused by multiple application integrations, we can improve the efficiency of internal communication and collaboration to reduce costs and increase efficiency. Moreover, it is safe, reliable, stable and efficient, unlocking the efficiency improvement of enterprise digital intelligence.
In today's wave of digital transformation, enterprises face many challenges. We deeply understand that cross-department, cross-application, and cross-organization information sharing, efficient collaboration of business processes, and the complexity of data integration are core issues for enterprises to improve operational efficiency and service quality. The digital collaborative management solution of Shuhuantong came into being, aiming to help enterprises solve the following problems:
1) Data silos and business management stratification: There is a large amount of scattered data within the enterprise, which is stored in different systems and applications, forming data silos. This situation requires manual and tedious data statistics, processing and analysis work, resulting in low efficiency.
2) Huge organization and information gaps: As the scale of the enterprise expands, information is difficult to share between different departments, and the problems of information gaps and occlusion become prominent. Businesses need a way to share information across these organizational boundaries.
3) Difficulty in cross-department business collaboration: The business involves multiple departments and requires collaboration, coordination and tracking. Current collaboration processes can be cumbersome and need improvement.
4) The business financial approval process is cumbersome: The approval process usually requires a lot of manual processing, resulting in low efficiency. Enterprises need to simplify these processes and improve the efficiency of approval.
5) It is difficult to close the loop of event warning and problem handling: Enterprises need a way to monitor events, assign problem handling responsibilities, and ensure that problems are solved. There may be issues with the current process and improvements are needed.
Shuhuantong digital collaborative management solution is designed to help enterprises overcome these challenges. We offer a comprehensive solution integrating the following key capabilities:
1) Data integration and analysis: Datalink's solution can help enterprises integrate scattered data into a central platform, automatically realizing the entire "data-application" link of "source-end connection, cleaning and processing, and statistical analysis." This means you no longer need to manually process large amounts of data, but can instead automate data integration, analysis and generate useful insights.
2) Cross-department information sharing: We provide a secure, cross-department information sharing method to automatically realize cross-organizational information sharing, application integration, and process collaboration. No matter which department your data resides in, it can be easily accessed and shared, promoting collaboration within the organization.
3) Full-link automation of business and financial approval processes: Shuhuantong’s solution allows enterprises to redesign and simplify business processes. This helps make your business more efficient and responsive. The approval process can also be automated, reducing tedious manual approval work and improving the speed and accuracy of approval.
4) Event monitoring and problem handling: We provide real-time event monitoring and problem handling functions to ensure that problems are discovered and solved in time. Achieving a digital closed loop of "automatic monitoring - early warning notification - task tracking and execution" that reaches people, which helps ensure the improvement of quality and service levels.
1. Process management automation
Achieve automated integration and correlation between several or N processes across applications and organizational levels, replacing manual methods.
The traditional enterprise organizational level is divided into three layers, the operation layer, the management and control layer, and the execution layer.
Process management is divided into business processes and management processes. Currently, a large number of applications have been launched for process management, corresponding to the execution layer and management and control layer in the picture on the right. And the various processes are interrelated.
For example: association of processes at the same level
1) Approval flow between ERP and Feishu, reimbursement approval, purchase, sale and inventory business approval, personnel approval, etc.
2) Supply chain business process: the relationship between procurement, production, warehousing, logistics and other processes.
For example: the correlation of cross-layer processes, such as the process integration between MES and ERP, and BI to Feishu.
2. Automation of monitoring and early warning
Monitor and provide early warnings for key nodes that enterprises across the entire chain are concerned about. Early warnings are directly triggered to the corresponding person in charge.
For example: the following link business process
1) MTP (market-product)
2) FTD (forecast-allocation)
3) CTC (channel-customer)
4) PTP (Purchase-Payment)
5) OTC (order-receipt)
6) RTR (accounting-reporting)
7) Business management approval process
Set early warning rules for key indicators such as time, period, amount, quantity, etc. in the above various links. When the early warning task is triggered, necessary early warning prompts will be issued and the person will be notified.
For example, simple threshold warning: you can set the document approval time not to exceed 2 hours, the minimum inventory quantity of a certain material to be 100 pieces, the delivery cycle of an order not to exceed 10 days, etc.
3. Closed-loop task processing
Often in production and manufacturing, there are various problems that can only be solved by the collaboration of multiple departments and multiple roles. Based on the integrated connection capabilities of Datalink and Feishu's task collaborative management capabilities, tasks => execution can be solved in a closed-loop manner.
For example: product delisting assessment scenario: Old products have not been digested in the brand channel, sales are weak, sales cannot be increased, and the unsaleable rate in the warehouse continues to rise, which brings great pressure to the warehouse and losses in financial costs. The company decides to hold a product delisting meeting The evaluation meeting will conduct analysis from the perspectives of procurement, warehousing, finance, production, and sales. The meeting involves multiple departments and multiple roles. This task process provides feedback and tracking until the end.
Other scenes: Same as above
(1) Marketing activity execution tasks
(2) New product research and development tasks
(3) Quality problem handling tasks
（4）......
4. Data pull-through visualization
Automation realizes the complete, real-time, accurate and sharing of the whole process business data and the visualization of the business value behind the data, supporting the basic decision-making analysis and business insights of the business.
For example: unifying the entire data flow chain across process areas
1) Visualization of production and sales process data;
2) Visualization of data in the outsourced processing collaboration process;
For example: unifying the entire data flow chain of cross-organizational applications
1) Visualization of order OTC chain data;
2) Visualization of production and manufacturing process data;
3）......
5. Flexible lightweight analysis
Based on the powerful data link platform connection capabilities and BI dashboard capabilities, it can easily cope with the flexible demand analysis brought about by front-end business changes.
Such as industry financial analysis: analysis of sales performance, profit margin, cost and other data, etc.
Such as inventory theme analysis, purchasing theme analysis, etc. Directly connected to the data source, the analysis rules can be combined in any way. When the data source changes, the analysis side will also change directly and respond flexibly.
6. Digitization of performance management
Based on the powerful connection capabilities and OKR capabilities of the Datalink platform, digital innovation can be realized that makes enterprise performance management open and transparent, aligned from top to bottom, and connected from left to right.
Basic requirements for digital performance management:
1. Continuous responsibility tracking
2. Open, fair and transparent
3. Continuous iterative review
The enterprise value chain is long and numerous, and all links are closely connected. The goals of each department need to be continuously coordinated and aligned.
Such as OKR management: Everyone hopes that each other's goals can be further aligned. The definition and design of products will affect R&D, R&D will affect the manufacturing process, and the manufacturing process will affect the efficiency of the supply chain and factory production lines. All the above links will affect the efficiency of after-sales service and maintenance. You cannot only look at your own goals, which will affect the efficiency of the organization and the creation of user value.
Shuhuantong's digital collaborative management solution not only solves current challenges, but also provides a solid foundation for the future. We will continue to continuously improve and expand our solutions to meet the needs of the ever-changing digital environment. Our goal is to help enterprises make better use of digital technologies, improve operational efficiency, enhance competitiveness, and achieve sustainable growth.