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Due to the backwardness of data processing technology, the existing credibility evaluation methods have the defects of low validity of evaluation results, which indicates that the evaluation results are one-sided and can not meet the needs of today\u2019s digital transformation of banks. Therefore, this paper proposes an intelligent evaluation method for the credibility of digital transformation of banks based on big data analysis. This paper analyzes the digital transformation strategy of banks in detail. On this basis, it introduces big data analysis technology, selects credibility intelligent evaluation index, constructs credibility intelligent evaluation model, formulates credibility intelligent evaluation steps of digital transformation of banks according to the construction model, and implements the steps to realize the intelligent evaluation of digital transformation credibility of banks. The experimental data show that: compared with the existing methods, the validity data of the evaluation results of the proposed method is larger, which fully confirms the effectiveness and feasibility of the proposed method and is suitable for vigorously promoting and applying.<\/jats:p>","DOI":"10.3233\/jcm-226060","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T14:10:38Z","timestamp":1648563038000},"page":"1349-1359","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Intelligent evaluation method of bank digital transformation credibility based on big data analysis"],"prefix":"10.66113","volume":"22","author":[{"given":"Chen","family":"Xie","sequence":"first","affiliation":[{"name":"Hohai University","place":["China"]},{"name":"E-mail:"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"55691","published-online":{"date-parts":[[2022,7]]},"reference":[{"issue":"4","key":"e_1_3_1_2_2","first-page":"349","article-title":"Online course learning outcome evaluation method based on big data analysis","volume":"29","author":"Li HJ","year":"2019","unstructured":"LiHJ PengM. 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