{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:51:32Z","timestamp":1701478292133},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684444","type":"print"},{"value":"9781643684451","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,30]]},"abstract":"<jats:p>In today\u2019s society, the use of big data is the basis for the development of various intelligent systems. The construction of a digital operating platform for customer relationships is not only about restructuring and standardising and concretising the entire customer management process, but also about transforming the actual offline, paper-based, interpersonal relationships into a digital, integrated new form. In the whole process of restructuring and building, not only do we need the content of the platform to enhance and improve the enterprise\u2019s customer management capabilities, but we also need to take into account many practical factors to ensure that the construction plan is feasible and can be implemented within the W enterprise, and is not a wood without a cause and a foundation without a foundation. This requires looking at existing technical support and market policies, as well as the company\u2019s own financial capacity and risk measures, to determine the feasibility of the project. This paper is based on the basis of big data algorithms, research and analysis for enterprise management, supported by big data virtual algorithms for the management of enterprises, which brings a lot of intelligent operations for the development of enterprises, which is also a more innovative research in the development of enterprises.<\/jats:p>","DOI":"10.3233\/faia230834","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:54:20Z","timestamp":1701446060000},"source":"Crossref","is-referenced-by-count":0,"title":["Optimisation of Enterprise Management Platforms Based on Big Data Virtual Technology Algorithms"],"prefix":"10.3233","author":[{"given":"Aohan","family":"Cao","sequence":"first","affiliation":[{"name":"School of Economics & Management, Beijing Forestry University, Haidian District 100080, Beijing, China"},{"name":"Collage of business & Economics, Australian National University, Acton 2601, Canberra, Australian"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230834","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:54:21Z","timestamp":1701446061000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230834"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9781643684444","9781643684451"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230834","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]}}}