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Business Analytics Architecture Stack to Modern Business Organizations

Palanivel K1 , Manikandan J2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-8 , Page no. 275-287, Aug-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i8.275287

Online published on Aug 31, 2019

Copyright © Palanivel K, Manikandan J . 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: Palanivel K, Manikandan J, “Business Analytics Architecture Stack to Modern Business Organizations,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.8, pp.275-287, 2019.

MLA Style Citation: Palanivel K, Manikandan J "Business Analytics Architecture Stack to Modern Business Organizations." International Journal of Computer Sciences and Engineering 7.8 (2019): 275-287.

APA Style Citation: Palanivel K, Manikandan J, (2019). Business Analytics Architecture Stack to Modern Business Organizations. International Journal of Computer Sciences and Engineering, 7(8), 275-287.

BibTex Style Citation:
@article{K_2019,
author = {Palanivel K, Manikandan J},
title = {Business Analytics Architecture Stack to Modern Business Organizations},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2019},
volume = {7},
Issue = {8},
month = {8},
year = {2019},
issn = {2347-2693},
pages = {275-287},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4824},
doi = {https://doi.org/10.26438/ijcse/v7i8.275287}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i8.275287}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4824
TI - Business Analytics Architecture Stack to Modern Business Organizations
T2 - International Journal of Computer Sciences and Engineering
AU - Palanivel K, Manikandan J
PY - 2019
DA - 2019/08/31
PB - IJCSE, Indore, INDIA
SP - 275-287
IS - 8
VL - 7
SN - 2347-2693
ER -

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Abstract

Business Analytics is a set of techniques and processes that can be used to analyze data to improve business performance through fact-based decision-making. Business analytical applications are designed to retrieve, analyze, transform and report data for business intelligence. These business analytics applications give the organization a complete overview of the company to provide key insights and understanding of the business. So smarter decisions may be made regarding business operations, customer conversions and more. A business analytics architecture is used to build business analytical applications for reporting and data analytics. The existing business analytics architecture is designed with Data Warehouse and the data flow among various business components is unidirectional. Today, Data Lake offers an optimal foundation for modern business analytics. In the literature survey, no business analytics architecture is available with Data Lake solutions. Hence, it is proposed to design a business analytics architecture with Data Lake to meet the needs of modern business organizations. The proposed business analytics architecture supports all standardized business analytic reports with Big Data analysis. The proposed business analytics architecture provides many advantages when it comes to scalability, speed, data quality, and flexibility.

Key-Words / Index Term

Business analytics, business intelligence, business environment, business architecture, Data Lake

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