L.V. Kazantseva1, I.A. Akatev2, D.М. Kazantseva3, M.V. Shiryaev4

1–3 MIREA — Russian Technological University (Moscow, Russia)
4 JSC «Russian Industrial Collegium» (Moscow, Russia)
 

This work is dedicated to the design of a corporate information system, starting from the definition of its type and functional requirements and ending with the selection of technical characteristics. One of the main aspects, which is emphasized, is the formation of data architecture in designing a corporate information system. To analyze, the most popular types of corporate information systems in organizations such as ERP, CRM, MES, ECM, SCM, HRM were selected and considered, and also the features of data storage in each of them were presented. The work describes in detail three stages of data architecture formation, taking into account scalability, including a detailed analysis of data, determining the necessary key types of architectures when designing CIS, selecting the final model of data architecture, as well as features of data management in the process of system operation. To determine the necessary types of architectures when designing a corporate information system, a matrix was built, which can be used as a basis for designing data architecture. In conclusion, it was concluded that the use of this matrix can be expedient for successful design of a corporate information system. The formed matrix can be used as a universal tool in designing corporate information systems.

Kazantseva L.V., Akatev I.A., Kazantseva D.М., Shiryaev M.V. The formation of data architecture during the design of a corporate information system. Science Intensive Technologies. 2023. V. 24. № 4. P. 21−26. DOI: https://doi.org/10.18127/j19998465-202304-03 (in Russian)

1. Nacional'nyj standart Rossijskoj Federacii GOST R ISO/MEK 12207-2010 Informacionnaya tekhnologiya. Sistemnaya i programmnaya inzheneriya. Processy zhiznennogo cikla programmnyh sredstv.
2. Anfilatov V.S., Emel'yanov A.A., Kukushkin A.A. Sistemnyj analiz v upravlenii. M.: Finansy i statistika, 2005. 368 c.
3. Burkov V.N., Irikov V.A. Modeli i metody upravleniya organizacionnymi sistemami. M.: Nauka, 1994. 272 s.
4. Vasil'ev S.N., Cvirkun A.D. Problemy upravleniya razvitiem krupnomasshtabnyh system. Upravlenie razvitiem krupnomasshtabnyh sistem: Trudy I Mezhdunar. konf. M., 2007. S. 9–14.
5. Smolenceva T.E. Ocenka vzaimodejstviya elementov ierarhicheskih slozhnyh system. Tendencii razvitiya nauki i obrazovaniya. 2018. № 45-9. S. 17–19.
6. Sumin V.I., Smolenceva T.E. Analiz informacionnoj modeli sistemy upravleniya kachestvom obucheniya. Informacionnye tekhnologii v nauke, obrazovanii i proizvodstve (ITNOP-2020): sbornik mezhdunar. nauchno-tekhn. konf. Belgorod, 2020. S. 115–119.
7. Kudzh S.A., Cvetkov V.YA., Rogov I.E. Podderzhka zhiznennogo cikla programmnyh component. Rossijskij tekhnologicheskij zhurnal. 2020. T. 8. № 5(37). S. 19–33. DOI 10.32362/2500-316X-2020-8-5-19-33
8. Zuev A.S., Bolbakov R.G. O telekommunikacionnyh servisah na osnove tekhnologij virtual'noj real'nosti. Rossijskij tekhnologicheskij zhurnal. 2017. T. 5. № 6(20). S. 3–10.
9. Ulasen' A.F., Stal'nov A.N., Zueva A.N. Nadezhnost' funkcional'nogo programmnogo obespecheniya informacionno-upravlyayushchih sistem real'nogo vremeni. Informacionno-izmeritel'nye i upravlyayushchie sistemy. 2022. T. 20. № 6. S. 67−71. DOI: https://doi.org/ 10.18127/j20700814-202206-08