If an enterprise wants to maintain long-term development and become a powerful individual in the market, it must pay attention to the coordination and cooperation between enterprise organizations, and co-evolve with the environment, which is the so-called enterprise ecosystem. As an important support for management, enterprise informatization or dataization is a key part of this ecosystem.
The "2015 China Big Data Application Frontier Research Report" pointed out that in the survey of "Where does your company think the importance of building an ecosystem", nearly half of the interviewed companies chose "opening up the internal data of the enterprise to provide better services" Business growth". The second-ranked answer to "Your company's primary focus to fully implement your big data strategy" was "use standardized data processing." When asked about the most pressing need for a big data platform, the top responses were "visual interactive analysis" (41%) and "real-time computing of large amounts of data" (41%).
Such a need is not without reason. Many interviewed companies said that opening up internal communication channels can greatly improve their production and operational efficiency. Especially in the traditional manufacturing industry, the production mode of traditional factories is linear production mode, starting from the customer's order, followed by design, technology, processing, quality inspection, logistics and customer's on-site service, and finally to the recycling link, forming a complete Product Lifecycle. The disadvantage of this mode is that the information between each link is relatively independent, and real-time sharing of information cannot be achieved. Once the task is suddenly changed, the entire production rhythm will be disrupted, resulting in a serious lag in production, which will cause great harm to management and production. inconvenient. Once the internal data channel of the enterprise is opened, the distance between various links within the enterprise is eliminated, the seamless link of information is realized, and the operation efficiency of the enterprise is greatly improved.
Many companies have begun to realize this problem, especially following the wave of big data, many companies that have made achievements in informatization have begun to manage their data.
Case 1: Taier Heavy Industry - Visualization Factory Construction
Taier Heavy Industry is a high-tech enterprise of the National Torch Program of "Transmission Machinery, Metallurgical Equipment, and Intelligent Manufacturing". Starting from 2008, the basic informatization construction has been started, and the visionary goal has been set from a visual factory, a digital factory to an intelligent factory.
In terms of infrastructure, Taier Heavy Industry has connected the phone system with IM terminals from the network and converged communications, virtualized servers, and built a hyper-converged virtualization platform, including all computing storage and resources. Structured and analytical big data analysis lays the foundation.
Use the OA system to realize the management of workflow, knowledge, customers, assets, etc. And with ERP, MES, card and other systems to do a high degree of integrated development.
The online PLM system has established project research and development, product design, and process development derived from customer needs, so as to adapt to the personalized design of products and shorten the development cycle.
Use the MES system to build a complete production plan formulation and production instruction release system. With the assistance of the information system, formulate a reasonable and feasible product delivery plan, build a production data collection system that covers the entire production site, and seamlessly connect with the production order issuing system, and feedback the implementation of the execution status of the relevant orders to the system, which is convenient for the effective production order. Track and adjust quickly.
These systems are closely integrated with the business, and the report FineReport is used to build a data visualization platform, connect the entrance of each system, open up the data, realize management visualization, and make informed decision support.
Case 2: A real estate - the construction of a consumer ecological group
Due to the lack of strong data support, the company's product production, design, marketing and payers are out of touch, and many of the company's behaviors are "thrilling jumps".
For this issue, the company advocates that through informatization, it will continuously connect its own design, marketing and consumers, and is committed to building a core platform for master data. These master data include the customer's suppliers, cities, projects, analysis, zoning, labor and specific housing listings, and extract these data as master data, establish an approval and circulation link in the OA system, and use FanRuan FineReport to communicate with various systems. The perfect connection to realize data import.
There is also a key issue in getting through internal data: data quality and uniformity.
Data processing is a complex process, and there are many links in it, from early data standards, data integration to data processing, etc. Any error in any link may lead to data quality problems. The question of most companies is that we have done a lot of data analysis and mining. Are the results of this analysis and mining correct? By what? Some companies have made some marketing trend conclusions based on data analysis, but if the data itself is wrong, the company's big data plan will either fail or the effect will be lower than expected. Therefore, to solve the problem of data quality and standardization, we have to start from the source and management.
Source control: Strict inspection and verification must be done for each data entering the system, such as the use of FineReport's fill-in verification to control data standards. This kind of work needs to be continuous and continuous, and the benefits will gradually emerge over time.
Start with the end in mind: When the data platform is launched, the entire data source process can be re-examined, and the rationality of the entire information architecture, the rationality and robustness of the process, the entire performance system, and the rationality of the organizational structure can be re-examined.
Standardized process: The standardized process involves the sorting and integration of the company's internal management. The sorting and construction of the process system and the design of the entire document coding need to cooperate with the construction of the entire management system.