Event Title

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

This document is currently not available here.

Share

COinS
 
Oct 30th, 12:00 AM Oct 30th, 12:00 AM

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.