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Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management. In this paper, we develop a big data processing method based on intelligent IoT which can mine the factors that affect the company\u2019s market sales from the collected data. Then, we propose a KNN classification algorithm based on overlapping <jats:italic>k<\/jats:italic>\u2010means clustering. This algorithm adds a training process to the traditional KNN algorithm, which can accurately classify data and greatly improve the efficiency of the classification algorithm. Numerical analysis results prove the effectiveness of the proposed algorithm.<\/jats:p>","DOI":"10.1155\/2021\/9981581","type":"journal-article","created":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T19:05:07Z","timestamp":1627326307000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Influencing Factors and Forecasting Statistics of Enterprise Market Sales Based on Big Data and Intelligent IoT"],"prefix":"10.1155","volume":"2021","author":[{"given":"Zhen","family":"Guo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2658-1398","authenticated-orcid":false,"given":"Tao","family":"Zou","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,7,26]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_9_1_2","DOI":"10.1016\/j.future.2019.07.037"},{"doi-asserted-by":"publisher","key":"e_1_2_9_2_2","DOI":"10.1017\/S0022109015000162"},{"doi-asserted-by":"publisher","key":"e_1_2_9_3_2","DOI":"10.4236\/jpee.2015.39001"},{"doi-asserted-by":"publisher","key":"e_1_2_9_4_2","DOI":"10.1016\/j.techfore.2018.07.043"},{"doi-asserted-by":"publisher","key":"e_1_2_9_5_2","DOI":"10.1166\/jctn.2016.5930"},{"doi-asserted-by":"publisher","key":"e_1_2_9_6_2","DOI":"10.1155\/2019\/1490617"},{"key":"e_1_2_9_7_2","first-page":"297","article-title":"Influencing factors analysis and trend forecasting of China\u2032s carbon emissions\u2014\u2014empirical study based on STIRPAT and GM (1, 1) models","volume":"36","author":"Xin T.","year":"2015","journal-title":"Journal of Northeastern University"},{"key":"e_1_2_9_8_2","article-title":"Analysis of influencing factors of rainfall in irrigation area and combining rainfall forecasting","volume":"46","author":"Xing Z.","year":"2015","journal-title":"Transactions of the Chinese Society for Agricultural Machinery"},{"doi-asserted-by":"publisher","key":"e_1_2_9_9_2","DOI":"10.1108\/IJOA-07-2013-0687"},{"doi-asserted-by":"publisher","key":"e_1_2_9_10_2","DOI":"10.1007\/s00779-019-01242-z"},{"doi-asserted-by":"publisher","key":"e_1_2_9_11_2","DOI":"10.1016\/j.ijinfomgt.2019.05.027"},{"doi-asserted-by":"publisher","key":"e_1_2_9_12_2","DOI":"10.1007\/s10479-016-2296-z"},{"doi-asserted-by":"publisher","key":"e_1_2_9_13_2","DOI":"10.1007\/s11265-017-1275-1"},{"doi-asserted-by":"publisher","key":"e_1_2_9_14_2","DOI":"10.21817\/ijet\/2017\/v9i3\/170903S062"},{"doi-asserted-by":"crossref","unstructured":"GavankarS. 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