Analytical Services to Support Strategic Planning

Thesis title: Analytical Services to Support Strategic Planning
Author: Barnabishvili, Ketevan
Thesis type: Diploma thesis
Supervisor: Potančok, Martin
Opponents: Karkošková, Soňa
Thesis language: English
Abstract:
The aim of the master thesis is to design rapid insight services (understanding and analysing processes, data, and decisions on allocating its resources to pursue this strategy) supporting strategic planning. The main objective is to prove how strategic planning tools help organizations to envision their direction relying on data, processes’, and decisions’ analysis, giving insights into the business’s long-term destination and suggesting adequate action plans to reach ultimate strategic goals, thus providing a firm basis for the senior management to exercise a holistic approach.
Keywords: strategic planning; ServiceNow; analytical tools
Thesis title: Analytical Services to Support Strategic Planning
Author: Barnabishvili, Ketevan
Thesis type: Diplomová práce
Supervisor: Potančok, Martin
Opponents: Karkošková, Soňa
Thesis language: English
Abstract:
The aim of the master thesis is to design rapid insight services (understanding and analysing processes, data, and decisions on allocating its resources to pursue this strategy) supporting strategic planning. The main objective is to prove how strategic planning tools help organizations to envision their direction relying on data, processes’, and decisions’ analysis, giving insights into the business’s long-term destination and suggesting adequate action plans to reach ultimate strategic goals, thus providing a firm basis for the senior management to exercise a holistic approach.
Keywords: strategic planning; ServiceNow; analytical tools

Information about study

Study programme: Aplikovaná informatika/Information Systems Management
Type of study programme: Magisterský studijní program
Assigned degree: Ing.
Institutions assigning academic degree: Vysoká škola ekonomická v Praze
Faculty: Faculty of Informatics and Statistics
Department: Department of Information Technologies

Information on submission and defense

Date of assignment: 28. 10. 2020
Date of submission: 30. 4. 2022
Date of defense: 6. 6. 2022
Identifier in the InSIS system: https://insis.vse.cz/zp/74909/podrobnosti

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