Fusion from Big Data to Smart Data to enhance quality of Information Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F21%3A39917378" target="_blank" >RIV/00216275:25410/21:39917378 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/3483816.3483836" target="_blank" >http://dx.doi.org/10.1145/3483816.3483836</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3483816.3483836" target="_blank" >10.1145/3483816.3483836</a>

Result language

angličtina

Original language name

Fusion from Big Data to Smart Data to enhance quality of Information Systems

Original language description

The use of the term “smartness” in the context of data indicates relevancy based on the intended purpose of data. The Internet of Things (IoT) and advancements in technology have resulted in an ever-increasing pool of data available to all institutions to derived meaning and make sound decisions from them. The research presented in this paper explored the role smart data play in information systems quality through a qualitative study of how using the large pool of data (big data) and fusing it to smart data organizations can make sound and smart decisions using the available techniques. We use an existing architecture adopted for a public institution to analyse how data ingestion can be achieved with minimum challenges. The findings suggest that even though there exist large pool of data for most organization, it is becoming more difficult using this data to make organizational sense due to the challenges pose by such data. The realisation of smart data and its benefits in information systems helps to improved quality of information system which reduce cost and promote the smartness agenda of today’s organization.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

8th International Conference on Management of e-Commerce and e-Government (ICMECG 2021) : conference proceedings

ISBN

978-1-4503-9054-5

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

112-117

Publisher name

ACM (Association for Computing Machinery)

Place of publication

New York

Event location

Jeju Island

Event date

Jul 4, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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