How Data Engineering and Big Data Analytics Can Contribute into Introducing Intelligence in Business: A Case Study
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Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Goce Delchev University - Shtip
DOI
10.46763/bjami21310059h
Abstract
Nowadays, in the era of big data, data engineering becomes one of the key features in providing competitive advantages to companies. A lot of approaches are introduced into data analytics in order to improve the businesses. This paper presents one possible way of introducing intelligence. As a case study, a comprehensive analysis of an e-commerce site is done. The analysis includes user segmentation, analysis of the conversion funnel, product analysis, and ad campaigns analysis. The data engineering process results with important findings: documents and dashboards. The findings give additional value for the employees and for the automation of the business processes to make them more intelligent.
Description
Keywords
Business intelligence , Big data , Funnel , Computer science , Data science , Data analysis , Analytics , Automation , Business analytics , Process (computing) , Key (lock) , Data mining , Business analysis , Engineering , Business model , Business , Computer security , Marketing , data engineering , big data analytics
Citation
Balkan Journal of Applied Mathematics and Informatics (BJAMI), 4(1), 59-67
