Opportunities for the Use of Business Data Analysis Technologies

• Authors: Signe Bāliņa , Rita Žuka , Juris Krasts
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

Analytics platforms; business analytics; business intelligence; data mining; online analytical processing; predictive modelling

• Publisher: Sciendo
• Journal: Economics and Business
• Year: 2016
• Volume: 28
• Issue: 1
• Pages: 20-25

Dates

published

2016-04-01

online

2016-06-10

Contributors

author

Signe Bāliņa

• Faculty of Economics and Management, University of Latvia

author

Rita Žuka

• Faculty of Economics and Management, University of Latvia

author

Juris Krasts

• Faculty of Economics and Management, University of Latvia

References

• Brown, M. (2012), Data mining techniques Retrieved Oct. 1, 2015, from http://www.ibm.com/developerworks/library/ba-data-mining-techniques/ba-data-mining-techniques-pdf.pdf
• Codd, E., F. (1979) Extending the database relational model to capture more meaning, Journal ACM Transactions on Database Systems (TODS) TODS Homepage archive, 4 (4), Dec. 1979, 397-434 Retrieved from Oct. 1, 2015, from http://dl.acm.org/citation.cfm?id=320109&dl=ACM&coll=DL&CFID=552595654&CFTOKEN=50237482
• Gartner Group (2015). IT Glossary, Retrieved Oct. 1, 2015 from http://www.gartner.com/it-glossary/business-intelligence-bi/
• Herschel, G., Linden, A., Kart L. (2015) Magic Quadrant for Advanced Analytics Platforms, Gartner, Retrieved Oct. 1, 2015, from http://www.gartner.com/technology/reprints.doid=1-2AHPOU0&ct=150225&st=sb
• IBM (2015). DB2 for Linux, UNIX and Windows. Retrieved Oct. 1, 2015, from: http://www-01.ibm.com/software/data/db2/linux-unix-windows/warehouse-analytics
• IBM Corporation (2011) IBM SPSS Modeler 14.2 Modeling Nodes Retrieved Oct. 1, 2015, from ftp://ftp.software.ibm.com/software/analytics/spss/documentation/modeler/14.2/en/ModelingNodes.pdf
• IBM Corporation (2013). The strategic advantage of OLAP and multidimensional analysis. Retrieved Oct. 1, 2015, from http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=SA&subtype=WH&htmlfid=YTW-03161CAEN
• McKendrick, J. (2012) Opening Up Business Intelligence to the Enterprise: 2012 Survey of Data Professionals on Self-Service BI and Analytics, Retrieved June. 04, 2015, from http://www.unisphereresearch.com/Issues/5374-Opening-Up-Business-Intelligence-to-the-Enterprise-2012-Survey-of-Data-Professionals-on-Self-Service-BI-and-Analytics.htm
• Microsoft (2011) Data warehousing, OLAP, and Analysis Services for Share- Point 2010 Retrieved Aug. 2011, from https://technet.microsoft.com/en-us/library/ff696762%28v=office.14%29.aspx
• Microsoft (2015 a) Books Online for SQL Server 2016, SQL Server Integration Services Retrieved Oct. 1, 2015, from https://msdn.microsoft.com/en-us/library/ms141026.aspx
• Microsoft (2015 b) Books Online for SQL Server 2016, Data Mining Algorithms Retrieved Oct. 1, 2015, from https://msdn.microsoft.com/en-us/library/ms175595.aspx
• Microsoft System Center (2015). Understanding OLAP Cubes Retrieved Oct. 1, 2015, from https://technet.microsoft.com/en-US/library/hh916543.aspx
• Oracle (2014). Agile Advanced Analytic Platform (A3P), An Oracle White Paper, October 2014, Retrieved Oct. 1, 2015, from http://www.oracle.com/technetwork/database/options/advanced-analytics/a3poct2014-2354088.pdf
• Oracle (2015). Oracle Database Online Documentation 12c Release 1 (12.1). Data Warehousing and Business Intelligence, Retrieved Oct. 1, 2015, from http://docs.oracle.com/database/121/nav/portal_6.htm
• Qlik (2014) What makes QlikView unique, A Qlik White Paper Retrieved Oct. 1, 2015, from http://www.qlik.com/us/explore/resources/whitepapers/whatmakes-qlikview-unique
• Qlik (2015) For developers, Retrieved Oct. 1, 2015, from http://www.qlik.com/for-developers
• Sallam, R. L., Hostmann, B., Schlegel, K., Tapadinhas, J., Parenteau, J., Oestreich, T. W. (2015) Magic Quadrant for Business Intelligence and Analytics Platforms, Retrieved Oct. 1, 2015, from http://www.gartner.com/technology/reprints.do?id=1-2ACLP1P&ct=150220&st=sb
• Sallam, R. L., Parenteau, J., Hostmann, B., Schlegel, K., Oestreich T. W., Tapadinhas, J., Howson, C. (2015) Critical Capabilities for Business Intelligence and Analytics Platforms, Retrieved Oct. 1, 2015, from https://www.gartner.com/doc/3050717/critical-capabilities-business-intelligence-analytics
• SAS (2015) Advanced Analytics Retrieved Oct. 1, 2015, from http://www.sas.com/en_us/software/analytics.html#view-all-products
• Taylor, K. L. (2014). Oracle Data Mining Concepts Retrieved Oct. 1, 2015, from https://docs.oracle.com/database/121/DMCON/E17692-15.pdf
• Unisphere Research (2015) The future of data warehousing: 2015 Retrieved April 01, 2015, from http://www.unisphereresearch.com/Issues/5238-The-Future-of-Data-Warehousing-2015.htm

Identifiers

DOI

10.1515/eb-2016-0003