{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T02:49:16Z","timestamp":1761965356383,"version":"3.40.3"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031088476"},{"type":"electronic","value":"9783031088483"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T00:00:00Z","timestamp":1656288000000},"content-version":"vor","delay-in-days":177,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This final chapter reflects on the current status of the process mining discipline and provides an outlook on upcoming developments and challenges. The broader adoption of process mining will be a gradual process. Process mining is already used for high-volume processes in large organizations, but over time process mining will also become the \u201cnew normal\u201d for smaller organizations and processes with fewer cases. To get the highest return on investment, organizations need to \u201cscale\u201d their process mining activities. Also, from a research point-of-view, there are many exciting challenges. On the one hand, many of the original problems (e.g., discovering high-quality process models and scaling conformance checking) remain (partly) unsolved, still allowing for significant improvements. On the other hand, the large-scale use of process mining provides many research opportunities and generates novel scientific questions.<\/jats:p>","DOI":"10.1007\/978-3-031-08848-3_17","type":"book-chapter","created":{"date-parts":[[2022,6,26]],"date-time":"2022-06-26T23:02:48Z","timestamp":1656284568000},"page":"495-502","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Scaling Process Mining to\u00a0Turn Insights into\u00a0Actions"],"prefix":"10.1007","author":[{"given":"Wil M. P.","family":"van der Aalst","sequence":"first","affiliation":[]},{"given":"Josep","family":"Carmona","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,27]]},"reference":[{"key":"17_CR1","doi-asserted-by":"publisher","unstructured":"van der Aalst, W.M.P.: Process Mining: Data Science in Action. Springer, Berlin (2016). https:\/\/doi.org\/10.1007\/978-3-662-49851-4","DOI":"10.1007\/978-3-662-49851-4"},{"key":"17_CR2","doi-asserted-by":"publisher","unstructured":"Aalst, W.: Academic view: development of the process mining discipline. In: Process Mining in Action, pp. 181\u2013196. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-40172-6_21","DOI":"10.1007\/978-3-030-40172-6_21"},{"key":"17_CR3","doi-asserted-by":"publisher","unstructured":"van der Aalst, W.M.P.: Chapter 1 - process mining: a 360 degrees overview. In: van der Aalst, W.M.P., Carmona, J. (eds.) Process Mining Handbook. LNBIP, vol. 448. Springer, Berlin (2022). https:\/\/doi.org\/10.1007\/978-3-662-49851-4","DOI":"10.1007\/978-3-662-49851-4"},{"issue":"1\u20134","key":"17_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3233\/FI-2020-1946","volume":"175","author":"WMP van der Aalst","year":"2020","unstructured":"van der Aalst, W.M.P., Berti, A.: Discovering object-centric Petri nets. Fundam. Informat. 175(1\u20134), 1\u201340 (2020)","journal-title":"Fundam. Informat."},{"key":"17_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99414-7","volume-title":"Conformance Checking: Relating Processes and Models","author":"J Carmona","year":"2018","unstructured":"Carmona, J., van Dongen, B., Solti, A., Weidlich, M.: Conformance Checking: Relating Processes and Models. Springer, Berlin (2018). https:\/\/doi.org\/10.1007\/978-3-319-99414-7"},{"key":"17_CR6","unstructured":"Galic, G., Wolf, M.: Global process mining survey 2021: delivering value with process analytics - adoption and success factors of process mining. Deloitte (2021). https:\/\/www2.deloitte.com\/de\/de\/pages\/finance\/articles\/global-process-mining-survey-2021.html"},{"key":"17_CR7","doi-asserted-by":"publisher","unstructured":"van der Aalst, et al.: Process mining manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011. LNBIP, vol. 99, pp. 169\u2013194. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-28108-2_19","DOI":"10.1007\/978-3-642-28108-2_19"},{"key":"17_CR8","doi-asserted-by":"publisher","unstructured":"Reinkemeyer, L.: Process Mining in Action: Principles. Use Cases and Outlook. 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