Topical trends and challenges of machine learning in business analytics
No Thumbnail Available
URL
Journal Title
Journal ISSN
Volume Title
School of Business |
Bachelor's thesis
Electronic archive copy is available locally at the Harald Herlin Learning Centre. The staff of Aalto University has access to the electronic bachelor's theses by logging into Aaltodoc with their personal Aalto user ID. Read more about the availability of the bachelor's theses.
Authors
Date
2021
Department
Tieto- ja palvelujohtamisen laitos
Major/Subject
Mcode
Degree programme
Tieto- ja palvelujohtaminen
Language
en
Pages
23
Series
Abstract
Deploying appropriate analytics tools have an effect on the organization’s performance. The research of machine learning (ML) techniques and technological development have enabled utilizing ML in business analytics (BA) systems. This literature review examines the topical trends and challenges of ML in BA. The aim of this thesis is to define business-related ML trends and challenges that are currently topical due to the active research or the increasing utilization in BA. These trends and challenges are related to several elements of data processing, such as technological infrastructure, availability of data and applicability of ML models, which are also discussed in the thesis. Some ML trends frequently emerge in the scientific literature and their applications have been developed for the BA systems. This thesis focuses on the most relevant ML trends along with the associated issues in the field of BA.Description
Thesis advisor
Viitasaari, LauriKeywords
machine learning, business analytics, trends, challenges