Deskriptivní a prediktivní analytika v řízení IT

This master’s thesis investigates the application of descriptive and predictive analytics within the domain of IT management, with a strategic focus on transitioning information technology from a conventional cost center into a proactive business partner. The central objective is the development of a conceptual analytical support model for IT Service Management (ITSM) and IT Financial Management (ITFM), designed for seamless integration into the MBI-AF framework. The research methodology integrates a comprehensive review of the ITIL and COBIT frameworks, qualitative insights from semi-structured interviews with industry practitioners, and dimensional snowflake modeling. The practical deliverable consists of a robust Power BI-based analytical suite featuring four interactive dashboards dedicated to service quality oversight, proactive infrastructure maintenance, granular cost allocation, and capital investment appraisal. To ensure realism while maintaining data privacy, the thesis employs synthetic datasets modeled after actual process interdependencies validated by leadership at Cadmium Consulting s.r.o. The technical implementation encompasses data decomposition into dimensional and fact tables to emulate a data warehouse architecture, utilizing dynamic Power BI measures to compute critical financial and operational metrics, including ROI, NPV, and TCO. Ultimately, the proposed framework equips IT leadership and CIOs with evidence-based insights, fostering enhanced service reliability and improved governance of enterprise informatics.