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Data Deluge and Its Analysis Issues
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.ORCID iD: 0000-0003-1654-9148
2016 (English)In: Proceedings of the 2nd International Conference in Accounting Researchers and Educators (ICARE 2016), Kelaniya, Sri Lanka: Priyantha Wijayatunga , 2016, 21-21 p., 21Conference paper, Abstract (Refereed)
Abstract [en]

Current availability of enormous amount of data is mainly due to technological advances. They are useful drawing inferences for creating new businesses, formulation of new policies or revising existing ones, etc. However, much of analyses are performed either by subject domain experts implementing mathematical and computational models incorrectly or by mathematical and computational professionals, purely on data driven basis without paying required attention to the subject domain knowledge. Both of these exercises often result in incorrect inferences and therefore they may harm the society, especially when their inferences are used in practice. We argue that, in order to get valid inferences these two parties should work together. Here we briefly discuss some of the issues that the large-scale data analyses should take into account, especially in open data and big data. We also briefly discuss our solutions that are rather simple to implement.

Place, publisher, year, edition, pages
Kelaniya, Sri Lanka: Priyantha Wijayatunga , 2016. 21-21 p., 21
Keyword [en]
Open data, Big data, Statistical, Causal, Inference
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:umu:diva-132588OAI: oai:DiVA.org:umu-132588DiVA: diva2:1082710
Conference
The 2nd International Conference in Accounting Researchers and Educators (ICARE 2016), 11th January 2017. Department of Accountancy, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka.
Available from: 2017-03-17 Created: 2017-03-17 Last updated: 2017-03-17

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http://repository.kln.ac.lk/handle/123456789/16410

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf