Optimization Of Document Management In State Owned Enterprises Based On Knowledge Management

In order to cope with the challenges of the big data era, we can solve the problem of document management based on knowledge management from two aspects.

The development of management needs two aspects of support. Documents are valuable resources of enterprises and promote the growth of enterprises, so knowledge management needs the support of management leaders. The management should attach importance to the document management of enterprises, provide necessary resources for document management, start from the overall situation, make timely requests, and give timely guidance. In terms of staffing, enterprises should select staff with certain information literacy and certain management theory, and at the same time have data processing capability. Big data technology can solve the problem of slow delivery and storage of electronic documents and data storage in enterprise documents, so the technical service department of enterprises must start from the overall situation of enterprises and build an enterprise information platform in an all-round way. From the bottom of the enterprise network IT architecture to the user oriented information platform, the technicians of the technology department should provide one-stop technology to provide basic technical support for the document management department. In addition, in the user oriented document management platform, users must be authorized to manage their rights and prevent the risk of enterprise leaking.

Business Process Reengineering Based on document management refers to increasing the standardization of document identification and document format when we control the document front-end. In terms of document identification, we adopted the macro appraisal theory of Xu Yongjun scholar (2008). It no longer adopts "time, source, function". content Instead of the specific standards such as users ", instead of changing to a more macroscopic and relatively abstract" document forming organ's social function "standard. This macroscopic appraisal standard and method can be used for batch identification of large volume documents, improve the speed of identification, and further improve the efficiency of data collection. For improving enterprise document input Efficiency problem This requires enterprises to establish a standardized system for document management. The standardization system is divided into two levels: the first is the standardized format of data input. Standardized format Electronic document Data improve the efficiency of data input by staff, and also help workers dig deep into mass standardized data. The second is the standardization of enterprise document management process.

The staff strictly follow the standardization process, implement the responsibility of each stage of the process, prevent other incidents such as document leakage and loss. Knowledge management platform is the core of enterprise archives management. The front end is data processed by standardized documents collected by enterprises, and the back end is user oriented open information platform. The core of knowledge management platform is data mining technology. Data mining technology is a data processing technology in the era of big data. It refers to the process of extracting hidden information and knowledge from a large number of incomplete, noisy, fuzzy, and random practical application data. Data mining technology is good at discovering the essence of massive information of documents, and is conducive to effective knowledge management. It is a way and method to realize knowledge mining, knowledge sharing and knowledge innovation.

With the growth of state-owned enterprises, documents are becoming more and more large. To a certain extent, they conform to the characteristics of big data, large variety and high value. In this paper, document control based on knowledge management is used to control the documents in the preceding stage, to filter documents and standardize documents, so as to realize knowledge management, knowledge sharing and knowledge innovation through data mining technology on knowledge management platform.