<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper analyses the business data analysis technologies, provides their classification and considers relevant terminology. The feasibility of business data analysis technologies handling big data sources is overviewed. The paper shows the results of examination of the online big data source analytics technologies, data mining and predictive modelling technologies and their trends.</p></abstract>

The paper analyses the business data analysis technologies, provides their classification and considers relevant terminology. The feasibility of business data analysis technologies handling big data sources is overviewed. The paper shows the results of examination of the online big data source analytics technologies, data mining and predictive modelling technologies and their trends.

Opportunities for the Use of Business Data Analysis Technologies

Faculty of Economics and Management, University of Latvia

Economics and Business

This work is licensed under the Creative Commons Attribution 4.0 Public License.

{"article-title":"Opportunities for the Use of Business Data Analysis Technologies"}

The paper analyses the business data analysis technologies, provides their classification and considers relevant terminology. The feasibility of business data...

Opportunities for the Use of Business Data Analysis Technologies

Data publikacji: 10 cze 2016

Zakres stron: 20 - 25

DOI: https://doi.org/10.1515/eb-2016-0003

Słowa kluczowe
Analytics platforms, business analytics, business intelligence, data mining, online analytical processing, predictive modelling

© 2016

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Opportunities for the Use of Business Data Analysis Technologies

Data publikacji: 10 cze 2016

Zakres stron: 20 - 25

DOI: https://doi.org/10.1515/eb-2016-0003

Słowa kluczoweAnalytics platforms, business analytics, business intelligence, data mining, online analytical processing, predictive modelling

© 2016

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Słowa kluczowe
Analytics platforms, business analytics, business intelligence, data mining, online analytical processing, predictive modelling