Data Analysis of Readiness Programs of Machine-Building Enterprises

  • Bohdan HaidabrusEmail author
  • Serhiy Protsenko
  • Philipp Rosenberger
  • Janis Grabis
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


One of the important aspects of providing the high level of the enterprises IT-readiness at machine-building enterprises is using the data science approach. By using data analysis, we mean the ability of the enterprises’ experts to increase using data by the most effective appliance of modern data science algorithms. In our research, the analysis has been carried out and the proposed approach can be used in real practice to evaluate the implementation of program projects to boost IT readiness. For example, at the initial stage, when the project is just starting and we do not know the real values of features, we can assign to modifications the average value for each, and then when the project arrives the real value of modification, we can calculate the target and track the dynamics of the assessment, the quality of the program projects to boost IT-readiness of machine-building enterprises. Thus, an important question is the compliance of the enterprise to the necessary level of IT-readiness which is directly connected with data analysis.


Data science Project management IT-readiness Program management Machine learning 


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Bohdan Haidabrus
    • 1
    Email author
  • Serhiy Protsenko
    • 1
  • Philipp Rosenberger
    • 2
  • Janis Grabis
    • 3
  1. 1.Sumy State UniversitySumyUkraine
  2. 2.University of Applied SciencesViennaAustria
  3. 3.Riga Technical UniversityRigaLatvia

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