Data-Driven Decision-Making Implementation and Advanced Business Processes in the Digital Age
Session
Information Systems and Security
Description
The purpose of this article is to examine and debate the impact of data-driven decision making on advanced business processes in the digital era. Data-driven decision making is becoming "business as usual" as digital technology becomes the primary driver of business processes, according to credible evidence in the literature. Businesses and organizations are increasingly turning to data-driven decision-making. The three objectives of this study are to discuss the evolution of data-driven decision making in advanced business processes in the age of data, to identify and analyze how businesses think about data-driven decision making in advanced business processes, and to assess the level of skilled staff involved in data science implementation within organizations. Using qualitative and quantitative research approaches, we seek to attain the desired research goal. Quantitative research is limited to enterprises based in a developing country's region.
Keywords:
Data science, Decision making, Digital technology, Business processe
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-47-5
Location
UBT Kampus,Lipjan
Start Date
30-10-2021 12:00 AM
End Date
30-10-2021 12:00 AM
DOI
10.33107/ubt-ic.2021.114
Recommended Citation
Limani, Ylber; Hajrizi, Edmond; and Stapleton, Larry, "Data-Driven Decision-Making Implementation and Advanced Business Processes in the Digital Age" (2021). UBT International Conference. 44.
https://knowledgecenter.ubt-uni.net/conference/2021UBTIC/all-events/44
Data-Driven Decision-Making Implementation and Advanced Business Processes in the Digital Age
UBT Kampus,Lipjan
The purpose of this article is to examine and debate the impact of data-driven decision making on advanced business processes in the digital era. Data-driven decision making is becoming "business as usual" as digital technology becomes the primary driver of business processes, according to credible evidence in the literature. Businesses and organizations are increasingly turning to data-driven decision-making. The three objectives of this study are to discuss the evolution of data-driven decision making in advanced business processes in the age of data, to identify and analyze how businesses think about data-driven decision making in advanced business processes, and to assess the level of skilled staff involved in data science implementation within organizations. Using qualitative and quantitative research approaches, we seek to attain the desired research goal. Quantitative research is limited to enterprises based in a developing country's region.