Provincial Archives Bureau leaders inspect the archives publicity work of Lianyi Motor

2021-08-31


On the afternoon of October 12, Tian Wenqi, president and editor-in-chief of Zhejiang Archives magazine, Zhejiang Provincial Archives Bureau, and Jiang Weiliang, deputy director of Jinhua Municipal Archives Bureau, conducted a field research on the archives management work of Zhejiang Lianyi Electric Motor Co., Ltd.

On the afternoon of October 12, Tian Wenqi, president and editor-in-chief of Zhejiang Archives Magazine, Zhejiang Provincial Archives Bureau, and Jiang Weiliang, deputy director of Jinhua City Archives Bureau, conducted a field research on the archives management of Zhejiang Lianyi Motor Co., Ltd. The research focused on the company's big data management, including an on-site inspection of the large database and archive warehouse. They affirmed the achievements of Lianyi Motor's archive management, considering it professional, comprehensive, and innovative, leading the way in Zhejiang Province.

1

Company archives are the most reliable big data in business management, possessing unparalleled utility value compared to general data. Zhejiang Lianyi Motor Co., Ltd. established its archive room in 1982. The company has always attached great importance to archive information management and has successively won honorary titles such as "Advanced Enterprise in Archives Management of Zhejiang Province," "Zhejiang Provincial Demonstration Enterprise for Intellectual Property Archives Management," "Zhejiang Provincial Demonstration Enterprise for Enterprise Memory Window," and "Zhejiang Provincial Demonstration Digital Archives Room."

Lianyi Motor's management culture: The enterprise has transitioned from product creation to the creation of excellent products and excellent culture; from manufacturing economy to excellent service economy; and from product service to big data service. Big data archives also specifically reflect the company's three aspects of value: 1. Excellent products; 2. Excellent service; 3. Data service.

Big data archive management is an innovative extension of traditional archive resource management. Traditional archive information management is limited to archive catalog management, classification, filing, storage, and simple statistical queries. In Lianyi's big data archives, key information is extracted through certain technical methods, and the extracted effective information is mined and updated according to certain rules. Only by meeting the information needs of different archive users can data mining technology play a huge role and bring the enterprise a huge potential archive service economy.

1 Lianyi Motor's big data archive system platform's overall architecture is implemented according to the actual application process of the content, namely, from data acquisition, intelligent processing, data mining, and intelligent search application platforms in three layers. Data is collected through multi-type data acquisition platforms. On the intelligent data processing platform, unstructured information, multimedia information, and user information are analyzed. Finally, the application platform provides data mining results, and the search platform and multimedia automatic compilation platform provide user queries. 1 To strengthen the collection, application, and management of big data, subordinate subsidiaries and departments have all established positions for big data administrators. The role of the big data administrator is to supervise the company's electronic file data, enabling the archives department to transition from passively waiting for materials to monitoring the entire process, from seedling emergence to rice maturity, ensuring that every grain of rice leaves its archive information on the big data platform and avoiding incomplete archive data collection. 1 Lianyi Motor's big data archive management implements "three-all" management: full coverage, full staff, and the entire process. All company employees are members of big data archive management, responsible for collecting key elements and excellent data from various positions anytime and anywhere. Effective management is implemented for the collected excellent data, and dedicated personnel organize relevant personnel to conduct various forms and types of "weekly learning" promotion on the collection methods, approaches, and experiences of excellent data.

TAG:


Request Quote

We will contact you within one working day. Please pay attention to your email.

SUBMIT