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Capacity planning of the infrastructure is a difficult task performed during the virtualization of the IT infrastructure. It is the planning of the necessary hardware to which the existing systems will be transferred, and later the future systems that will work in a virtualized environment. Infrastructure capacity planning in digitalization of educational services is a process in which the IT infrastructure is needed to meet not only the current workload but also the future workload and to follow further requirements. In case the process of planning is well performed, it could more fully support the development of emerging technologies in learning. The traditional IT infrastructure, bound by the physical limitations of the devices, does not meet the requirements for flexible changes, for quick recovery after a problem. This leads to difficult management, to weaknesses in the implementation of educational processes. Virtualization could solve most of these problems for modern IT infrastructures. It provides highly efficient and reliable operation of operating systems and applications that do not depend on the computer system.

The digital age we live in requires the application of new, specific, and sophisticated methods for processing the large amounts of data available. Discovering relationships and data models is a way to predict behaviour and events and it can successfully be used in logistics. Companies in this industry recognize the importance of big data predictive analytics but at the same time a big obstacle is the lack of a comprehensive framework to integrate predictive analytics with corporate strategies for digital transformation. The framework will be described at a conceptual level and suitable technologies for its implementation will be recommended. The applicability of the proposed framework will be demonstrated with a typical use case scenario in the logistics industry. The proposed predictive analytics framework provides opportunities for the improvement of the operational efficiency and better decision making in the logistics industry.

The creation of an efficient digital infrastructure is a prerequisite for the successful operation of any digital service with a high degree of complexity. In the best case, the organization of information processes should be based on the best practices in the construction of digital infrastructure, which allows the future development. With increasing the level of integration of digitalization with daily company activities, it is necessary to pay more attention to the problems of ensuring the continuity of digitalization processes. There are a lot of methods that have been developed to select the best of multiple options, each of which evaluated on the base of multiple criteria. In this research the usage of one of them is proposed as most suitable for taking decisions on building digital infrastructure for digitalization services. © 2020, Pavel Petrov et al. All rights reserved. This research was partially supported by NPI-45/2020 from the University of Economics - Varna Science Fund.