Jefmański, BartłomiejKusterka-Jefmańska, MartaGross-Gołacka, ElwiraBłoński, Krzysztof2024-12-262024-12-262025-01-07978-0-9981331-8-8540d7f4d-e447-4c3a-ac7f-fe4dc388f9f2https://hdl.handle.net/10125/109536Data analytics plays a key role in promoting and implementing sustainable development in business. Thanks to advanced data analysis techniques, enterprises can make more informed decisions, optimize their operations and achieve sustainable development goals. Due to the complex nature of the issue of enterprise sustainability, a particularly useful class of data analysis methods are multi-criteria decision making methods (MDCM). In order to indicate the usefulness of this approach, a bibliometric analysis was carried out in the article in the period 2007-2024. Thematic maps were developed and analyzed, and the thematic evolution was analyzed. The results of the analysis indicated the AHP, ANP and TOPSIS methods as the leading MCDM methods in the implementation of sustainable business development. It also identified the increasing importance of fuzzy modifications of these methods proposed to account for uncertainty in business decision making.8Attribution-NonCommercial-NoDerivatives 4.0 InternationalData Analytics, Strategic Leadership, and Value Creationahp, anp, bibliographic analysis, business sustainability, data analytics, fuzzy sets, multi-criteria decision making methods, topsisConference Paper10.24251/HICSS.2025.688