In order to achieve more intelligent and efficient operations and decision-making, the deep integration of data systems and business processes has become the goal of digital transformation of many enterprises. Improving the integration of data systems and business processes not only helps improve work efficiency and create competitive advantage, but also helps enterprises achieve more accurate data-driven decision-making.
Recently, Data Ape and Shanghai Big Data Alliance jointly held a roundtable forum on how to deeply integrate data systems and business processesOu Xiaogang, senior chief writer of Data Ape, served as the moderator of the roundtable dialogue, and Xiang Ren Yan, CIO of Junfeng, He Yunmin, deputy general manager of Shanghai Lawson Convenience, Zhou Mingchun, chief researcher of Midea Group Building Technology Research Institute, Li Yang, CTO of Kyligence, and You Tianyu, managing director of Kailian Capital, and president of Industry Research InstituteSeveral forum panelists initiated a topic for discussion.
In view of the existing technical means in the industry, Ou Xiaogang, the moderator of the roundtable dialogue and the senior chief writer of Data Ape, raised a question:How to build a unified platform to solve the "two skins" of data platform and business system?
data and technology should be at the service of the dynamics of the business". He Yunmin, deputy general manager of Shanghai Rosen Convenience, believes that the deep integration of data systems and business processes needs to break the data silos between various departments and systems to achieve data sharing and business collaboration.
Zhou Mingchun, chief researcher of Midea Building Technology Research Institute, combined with his own observation of the enterprise, proposed: many times technical personnel do not understand the problems existing in the industry, so the middle platform is based on their own understanding, in order to solve this problem, the technical team needs to understand the work of the business department, such as allowing the technical department and the business department to rotate and so on. It can also integrate data from different systems through technical means, such as open data interfaces, data standardization, and data integration tools, so as to gradually promote the use of data in business in stages.
Zhou Mingchun, chief researcher of Midea Building Technology Research Institute.
The main problem lies in two aspects, one is the boss himself, and the boss's decisions lead to the fact that what is made is ultimately unusable; On the other hand, it is caused by costs, including financial expenditure, organizational costs, time costs, etc., among which non-financial costs are higher than imagined. You Tianyu, managing director of Kailian Capital and president of the Industrial Research Institute, explained.
Kailian Capital's Managing Director and President of the Industrial Research Institute by Tianyu.
From the perspective of the company and organization, how to minimize the threshold for use and promote the self-service use of the data platform by business personnel?
Do a good job in the product, but also teach how to use the product", Ren Yan, CIO of Junfeng, believes that in order to promote the self-service use of data by business personnel, two points need to be achieved: "The first point is to improve the product and do a good job in the product, so that the business personnel are willing to use it; The second point is to do a good job in the internal training of employees to help business personnel understand the product in order to better use the product. "At the same time, it is also necessary to establish a cross-departmental data collaboration mechanism, break down traditional organizational barriers, and establish a unified data team or data center.
Ren Yan, CIO of Junfeng.
Establish a consensus that 'digitalization should be a must', and under this consensus, it is necessary to establish a special organizational form and organization", He Yunmin, deputy general manager of Shanghai Rosen Convenience, shared that Shanghai Rosen Convenience had many departments such as operation, commodity, development, marketing, business innovation, and logistics before digitalization, "but in order to promote digitalization, we have prepared a special digital transformation innovation office across departments, which is independent of other departments, and is the transformation of the entire coordination department, reporting directly to the general manager."
He Yunmin, deputy general manager of Shanghai Rosen Convenience.
Dedicated personnel are responsible for coordinating the data work of various departments of the enterprise, and formulating specifications and processes for data management and governance. In addition, there is a need to improve the organization's data awareness and data capabilities, develop data talent, and develop effective incentives. Zhou Mingchun, chief researcher of Midea Building Technology Research Institute, believes that "intelligent management in the organization needs to develop corresponding encouragement and reward mechanisms, so that employees can actively respond, take the initiative to learn Xi and use data technology." ”
Continuing the above content, Ou Xiaogang, senior chief writer of Data Ape, further raised the question, how should enterprises integrate data platforms with industry knowledge and business experience, and apply data to business process optimization and innovation?
Data Ape Senior Chief Writer Ou Xiaogang.
Li Yang, CTO of Kyligence, believes that there are three ways to combine digital technology and industry knowledge: the first is to appoint a compound talent who understands both data technology and industry knowledge and experience, and gives full play to its characteristics to carry out enterprise management and reform, so that he can apply data to the optimization and innovation of business processes. The second is to find a professional consulting company to carry out digital construction of the enterprise, and the two parties popularize data and industry knowledge to each other in the process of consulting, and finally achieve the role of in-depth understanding and solution of bottlenecks and problems in business processes through data analysis and mining. The third is to establish the enterprise itself, give each department digital tools, establish a digital environment, let it use digital tools according to its own business situation, try with different business lines, and optimize and improve the business processes of different business lines through data-driven methods.
All retail can be digital, but don't digitize for digital's sake." He Yunmin, deputy general manager of Shanghai Rosen Convenience, said that digitalization can be applied in all aspects of retail. Through digitalization, we can reduce costs and increase efficiency, gain insight into consumer behavior, and support new product launches and membership services.
How to cultivate an enterprise data culture so that data becomes the "blood" of the organization's flow? Li Yang, CTO of Kyligence, said that as long as technology allows, digitalization has become a management revolution for enterprises.
Kyligence CTO Li Yang.
The last 10 years have changed dramatically, with digitalization moving from a broad sense to every industry and then to individual businesses." You Tianyu, Managing Director of Kailian Capital and President of the Industrial Research Institute, believes that the trend of industry deduction is unstoppable, but for an enterprise, it should establish a data-driven corporate culture on the basis of considering goals, capabilities and costs. Promote data awareness and data values within the enterprise, so that every employee understands the importance and application value of data. At the same time, there is a need to create a culture of data sharing and collaboration, encourage the sharing of data and experiences among employees, and promote cross-departmental collaboration and innovation. Only by establishing a data-driven corporate culture can we truly realize the deep integration of data systems and business processes.
Towards the end of the forum, Ou Xiaogang, senior chief writer of Data Ape, concluded that data is no longer just a supporting function for enterprises, but has become a key element to drive innovation and business development.
Continuously optimize the data intelligence platform to keep up with changes in technology and the market. Enterprises can not only achieve cost coverage, but also be more proactive in building the data intelligence platform into a real profit center.
In order to deeply integrate data systems and business processes, scientific planning and effective implementation are required in four aspects: technology, organization, application and corporate culture. Effectively integrating data systems with business processes can not only improve the efficiency and competitiveness of enterprises, but also bring more accurate data-driven decision-making to enterprises. Only in this way can enterprises remain invincible and achieve sustainable development in the digital era.
Text: Mu QingyiData Ape.