Data driven decision making in global expansion: Leveraging Alteryx

Horváth Réka (2024) Data driven decision making in global expansion: Leveraging Alteryx. Külkereskedelmi Kar.

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Absztrakt (kivonat)

I found data-driven culture extremely important nowadays because not only you as an individual living your life are affected by the billions and billions of data created each day, but as an organization in the business world, it is extremely useful and beneficial to be able to use the data that they collect and make a success out of it. It is impossible no to get data from everywhere with everyone sharing it in every move we make. With the help of advanced technology, we can create a lot of opportunities and overcome challenges that were impossible before. Technology is evolving, and the future holds lots of great opportunities. The ability to make a strategic decision to create valuable insight is the best option for companies to be the best among competitors and expand globally and into different markets and cultures. Making important decisions based on data can outshine the increasingly competitive others and create a fast and stable system that is trustworthy and invaluable. All the Risks is one of the data analytics platforms with the potential to load, analyze, organize, and share our findings and make crucial decisions if needed. That is why I chose all the risks as the analytical ETL tool to analysis to get a deeper understanding of how it works and how it can benefit the companies. This thesis will explore the role of data in decision-making in the context of global expansions, focusing on the implementation of analytics. By examining this study, I hope you will find important information and understand how data influences our world and how it provides opportunities, how to grab them, and how to change your company's success.

Intézmény

Budapesti Gazdasági Egyetem

Kar

Külkereskedelmi Kar

Tanszék

Társadalomtudományi Módszertan Tanszék

Tudományterület/tudományág

NEM RÉSZLETEZETT

Szak

Nemzetközi gazdálkodás

Mű típusa:	diplomadolgozat (NEM RÉSZLETEZETT)
Kulcsszavak:	analysis, big data, decision, digitalization, technology
SWORD Depositor:	Archive User
Felhasználói azonosító szám (ID):	Archive User
Rekord készítés dátuma:	2024. Szep. 26. 08:02
Utolsó módosítás:	2024. Szep. 26. 08:02

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