Decision-making process on the implementation of data analytics solutions in the small and medium-sized business

Volha Bahlai

Diplomová práce

Decision-making process on the implementation of data analytics solutions in the small and medium-size business

Anotace:

The opportunities and benefits that Data analytics provides increase the interest in its implementation by small and medium-sized businesses. The use of different solutions allows improving companies’ performance and is a strong competitive advantage. However, the problems and challenges the SMBs face with data analytics implementation significantly decrease the number of successfully completed projects. In the research, the aim is to design a decision-making model for data analytics implementation and development for SMBs. Based on theoretical and practical findings for the particular companies, the model provides guidance on making decisions on the project initiation stage and reduce the likelihood of the project failure.

Abstract:

The opportunities and benefits that Data analytics provides increase the interest in its implementation by small and medium-sized businesses. The use of different solutions allows improving companies’ performance and is a strong competitive advantage. However, the problems and challenges the SMBs face with data analytics implementation significantly decrease the number of successfully completed projects. In the research, the aim is to design a decision-making model for data analytics implementation and development for SMBs. Based on theoretical and practical findings for the particular companies, the model provides guidance on making decisions on the project initiation stage and reduce the likelihood of the project failure.

Klíčová slova

Data analytics solutions, Small and medium-sized business, Decision-making process, Data analytics, Implementation process, Decision-making model

Keywords

Small and medium-sized business, Data analytics solutions, Implementation process, Decision-making model, Decision-making process, Data analytics

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 26. 8. 2020

Obhajoba závěrečné práce

• Obhajoba proběhla 11. 6. 2021
• Vedoucí: Martin Potančok
• Oponent: Soňa Karkošková

Vysoká škola ekonomická v Praze

Magisterský studijní program / obor:
Aplikovaná informatika / Information Systems Management