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Visualisation and Analysis of Big Data through Business Intelligence

Nasreen Fatma1 , Sapna Jain2 , M. Afshar Alam3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 629-636, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.629636

Online published on Apr 30, 2019

Copyright © Nasreen Fatma, Sapna Jain, M. Afshar Alam . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Nasreen Fatma, Sapna Jain, M. Afshar Alam, “Visualisation and Analysis of Big Data through Business Intelligence,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.629-636, 2019.

MLA Style Citation: Nasreen Fatma, Sapna Jain, M. Afshar Alam "Visualisation and Analysis of Big Data through Business Intelligence." International Journal of Computer Sciences and Engineering 7.4 (2019): 629-636.

APA Style Citation: Nasreen Fatma, Sapna Jain, M. Afshar Alam, (2019). Visualisation and Analysis of Big Data through Business Intelligence. International Journal of Computer Sciences and Engineering, 7(4), 629-636.

BibTex Style Citation:
@article{Fatma_2019,
author = {Nasreen Fatma, Sapna Jain, M. Afshar Alam},
title = {Visualisation and Analysis of Big Data through Business Intelligence},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {629-636},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4089},
doi = {https://doi.org/10.26438/ijcse/v7i4.629636}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.629636}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4089
TI - Visualisation and Analysis of Big Data through Business Intelligence
T2 - International Journal of Computer Sciences and Engineering
AU - Nasreen Fatma, Sapna Jain, M. Afshar Alam
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 629-636
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Business knowledge instruments are basically information driven Decision Support Systems (DSS). These instruments can give verifiable, current, and prescient point of view of business activities, frequently utilizing information that has been accumulated into an information distribution center or an information shop and sometimes working from operational in-formation. Programming components bolster detailing, intelligent "cut up" rotate table investigations, representation and factu-al information mining and Predictive examination. This paper centers around imaginative examination in enormous infor-mation and business insight is intended to give us an upper hand in the advanced, quickly developing business space. The ex-amination gives the more profound information, propelled aptitudes and understanding that will enable us to add to the ad-vancement and structure of huge information frameworks just as dispersed web empowered choice help application program-ming frameworks, utilizing innovations like information investigation, business knowledge, information mining, information warehousing, conveyed information the board and advances.

Key-Words / Index Term

Business intelligence,Big data,Data analysis, Power BI

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