A proposed big data analytics quality (BDAQ)‎ model for improving firm performance with a case study

Abstract EN

Before the era of the internet, data about customers were entered by firm employees themselves into the system they had.

in the age of the internet, users' usage of social media, applications, and exchange emails has arisen a distinct kind of data created by the user community and then at later periods in the shadows of artificial intelligence and machine learning, the machines themselves have started to create the data.

that was and still a terrifying amount of data around institutions and a true challenge to coop with.

due to that data characteristics including their volume, velocity, variety, and many more v's, these data were called ''big data''.

whatever the data volume, the most important is how that data could be monetized or processed given the quality of big data analytics to help improving firm's performance.

the main purpose of the research is to analyze how big data analytics quality (BDAQ) impacts the performance improvements of businesses measured by indicators of firm financial and non-financial performance.

a case study was conducted and the main field it applied up on is the commercial international bank (CIB) in Egypt.

the targeted departments and bankers are not about anyone who worked for the bank, but specialized departments and bankers who deal with big data analytics and its quality were chosen.