{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T05:59:17Z","timestamp":1766987957909,"version":"3.48.0"},"reference-count":66,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T00:00:00Z","timestamp":1766707200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Talent Introduction Research Start-up Fund Project of Nanjing University of Posts and Telecommunications","award":["NYY223024"],"award-info":[{"award-number":["NYY223024"]}]},{"name":"Project of Natural Science Research in Colleges and Universities of Jiangsu Province","award":["25KJB630018"],"award-info":[{"award-number":["25KJB630018"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72501135"],"award-info":[{"award-number":["72501135"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017630","name":"Humanities and Social Sciences Youth Foundation of Ministry of Education of China","doi-asserted-by":"publisher","award":["25YJC630096"],"award-info":[{"award-number":["25YJC630096"]}],"id":[{"id":"10.13039\/501100017630","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Predictive analytics for financial distress plays an important role in enterprise risk management and everyday business decisions. Most past studies mainly use accounting indicators that come from standard financial reports. This study adds analyst-forecast financial indicators and places them in a data-driven business intelligence setup to improve how companies predict financial distress. We work with seven real datasets to test several predictive models and run statistical checks to see how analyst forecasts work with historical financial data. The results show that analyst-forecast indicators can clearly improve prediction accuracy and make the results easier to understand. From an enterprise systems view, this study pushes traditional financial distress prediction toward a smarter analytics setup that supports real-time, explainable, and data-based risk assessment. The findings provide useful ideas for both the theory and practice of designing business intelligence systems and financial decision-support tools for companies.<\/jats:p>","DOI":"10.3390\/systems14010029","type":"journal-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T05:28:19Z","timestamp":1766986099000},"page":"29","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrating Analyst-Forecasting Indicators into Business Intelligence Systems for Data-Driven Financial Distress Prediction"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5722-3913","authenticated-orcid":false,"given":"Zhenkun","family":"Liu","sequence":"first","affiliation":[{"name":"School of Management, Nanjing University of Posts and Telecommunications, No. 66 Xinmofan Road, Gulou District, Nanjing 210003, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2012-2796","authenticated-orcid":false,"given":"Mu","family":"Wang","sequence":"additional","affiliation":[{"name":"Interdisciplinary Sciences Institute, Hefei University of Technology, No. 193 Tunxi Road, Baohe District, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dansheng","family":"Liu","sequence":"additional","affiliation":[{"name":"International Business School, Shandong Technology and Business University, No. 191, Binhai Middle Road, Laishan District, Yantai 264005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Du","sequence":"additional","affiliation":[{"name":"AbbVie Inc., North Chicago, IL 60064, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lifang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Finance, Nanjing University of Finance and Economics, No. 3 Wenyuan Road, Qixia District, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianzhou","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Systems Engineering, Macau University of Science and Technology, Taipa Street, Macao 999078, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"105709","DOI":"10.1016\/j.econmod.2021.105709","article-title":"Financial Distress Prediction by Combining Sentiment Tone Features","volume":"106","author":"Zhao","year":"2022","journal-title":"Econ. 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