A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics

Jasmin Praful Bharadiya

doi:doi:10.11648/j.ajai.20230701.14

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A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics

Jasmin Praful Bharadiya

Published in American Journal of Artificial Intelligence (Volume 7, Issue 1)

Received: 7 May 2023 Accepted: 27 May 2023 Published: 27 June 2023

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Abstract

Business intelligence systems give important and competitive information to business planners and decision-makers by combining operational and historical data with analytical tools. Business intelligence (BI) aims to increase the timeliness and quality of data, allowing managers to better comprehend their company's position with rivals. For example, changes in market share, consumer behavior and spending patterns, customer preferences, corporate capabilities, and market circumstances may be analyzed using business intelligence tools and technology. In addition, analysts and managers may utilize business intelligence to determine which changes are most likely to adapt to shifting trends. The nontrivial extraction of implicit, previously unknown, and possibly beneficial information from data is known as data mining. Clustering, data summarization, learning classification rules, discovering dependency networks, analyzing changes, and detecting anomalies are all examples of technological techniques. The introduction of the data warehouse as a repository, advancements in data purification, better hardware and software capabilities, and the emergence of web architecture have all combined to produce a richer business intelligence environment than previously accessible. This document tries to give a framework for developing a business intelligence system. AI has been used to find and investigate security flaws. Manipulation and movement When given a limited static environment, AI robots can readily detect and map their surroundings.

Published in	American Journal of Artificial Intelligence (Volume 7, Issue 1)
DOI	10.11648/j.ajai.20230701.14
Page(s)	24-30
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Business Intelligence, Artificial Intelligence, Big Data

References

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APA Style

Jasmin Praful Bharadiya. (2023). A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics. American Journal of Artificial Intelligence, 7(1), 24-30. https://doi.org/10.11648/j.ajai.20230701.14

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ACS Style

Jasmin Praful Bharadiya. A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics. Am. J. Artif. Intell. 2023, 7(1), 24-30. doi: 10.11648/j.ajai.20230701.14

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AMA Style

Jasmin Praful Bharadiya. A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics. Am J Artif Intell. 2023;7(1):24-30. doi: 10.11648/j.ajai.20230701.14

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@article{10.11648/j.ajai.20230701.14,
  author = {Jasmin Praful Bharadiya},
  title = {A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics},
  journal = {American Journal of Artificial Intelligence},
  volume = {7},
  number = {1},
  pages = {24-30},
  doi = {10.11648/j.ajai.20230701.14},
  url = {https://doi.org/10.11648/j.ajai.20230701.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20230701.14},
  abstract = {Business intelligence systems give important and competitive information to business planners and decision-makers by combining operational and historical data with analytical tools. Business intelligence (BI) aims to increase the timeliness and quality of data, allowing managers to better comprehend their company's position with rivals. For example, changes in market share, consumer behavior and spending patterns, customer preferences, corporate capabilities, and market circumstances may be analyzed using business intelligence tools and technology. In addition, analysts and managers may utilize business intelligence to determine which changes are most likely to adapt to shifting trends. The nontrivial extraction of implicit, previously unknown, and possibly beneficial information from data is known as data mining. Clustering, data summarization, learning classification rules, discovering dependency networks, analyzing changes, and detecting anomalies are all examples of technological techniques. The introduction of the data warehouse as a repository, advancements in data purification, better hardware and software capabilities, and the emergence of web architecture have all combined to produce a richer business intelligence environment than previously accessible. This document tries to give a framework for developing a business intelligence system. AI has been used to find and investigate security flaws. Manipulation and movement When given a limited static environment, AI robots can readily detect and map their surroundings.},
 year = {2023}
}

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TY  - JOUR
T1  - A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics
AU  - Jasmin Praful Bharadiya
Y1  - 2023/06/27
PY  - 2023
N1  - https://doi.org/10.11648/j.ajai.20230701.14
DO  - 10.11648/j.ajai.20230701.14
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
SP  - 24
EP  - 30
PB  - Science Publishing Group
SN  - 2639-9733
UR  - https://doi.org/10.11648/j.ajai.20230701.14
AB  - Business intelligence systems give important and competitive information to business planners and decision-makers by combining operational and historical data with analytical tools. Business intelligence (BI) aims to increase the timeliness and quality of data, allowing managers to better comprehend their company's position with rivals. For example, changes in market share, consumer behavior and spending patterns, customer preferences, corporate capabilities, and market circumstances may be analyzed using business intelligence tools and technology. In addition, analysts and managers may utilize business intelligence to determine which changes are most likely to adapt to shifting trends. The nontrivial extraction of implicit, previously unknown, and possibly beneficial information from data is known as data mining. Clustering, data summarization, learning classification rules, discovering dependency networks, analyzing changes, and detecting anomalies are all examples of technological techniques. The introduction of the data warehouse as a repository, advancements in data purification, better hardware and software capabilities, and the emergence of web architecture have all combined to produce a richer business intelligence environment than previously accessible. This document tries to give a framework for developing a business intelligence system. AI has been used to find and investigate security flaws. Manipulation and movement When given a limited static environment, AI robots can readily detect and map their surroundings.
VL  - 7
IS  - 1
ER  -

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Author Information

Jasmin Praful Bharadiya

Department of Information and Technology, University of the Cumberlands, Williamsburg, USA

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APA Style

Jasmin Praful Bharadiya. (2023). A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics. American Journal of Artificial Intelligence, 7(1), 24-30. https://doi.org/10.11648/j.ajai.20230701.14

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ACS Style

Jasmin Praful Bharadiya. A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics. Am. J. Artif. Intell. 2023, 7(1), 24-30. doi: 10.11648/j.ajai.20230701.14

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AMA Style

Jasmin Praful Bharadiya. A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics. Am J Artif Intell. 2023;7(1):24-30. doi: 10.11648/j.ajai.20230701.14

Copy | Download

@article{10.11648/j.ajai.20230701.14,
  author = {Jasmin Praful Bharadiya},
  title = {A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics},
  journal = {American Journal of Artificial Intelligence},
  volume = {7},
  number = {1},
  pages = {24-30},
  doi = {10.11648/j.ajai.20230701.14},
  url = {https://doi.org/10.11648/j.ajai.20230701.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20230701.14},
  abstract = {Business intelligence systems give important and competitive information to business planners and decision-makers by combining operational and historical data with analytical tools. Business intelligence (BI) aims to increase the timeliness and quality of data, allowing managers to better comprehend their company's position with rivals. For example, changes in market share, consumer behavior and spending patterns, customer preferences, corporate capabilities, and market circumstances may be analyzed using business intelligence tools and technology. In addition, analysts and managers may utilize business intelligence to determine which changes are most likely to adapt to shifting trends. The nontrivial extraction of implicit, previously unknown, and possibly beneficial information from data is known as data mining. Clustering, data summarization, learning classification rules, discovering dependency networks, analyzing changes, and detecting anomalies are all examples of technological techniques. The introduction of the data warehouse as a repository, advancements in data purification, better hardware and software capabilities, and the emergence of web architecture have all combined to produce a richer business intelligence environment than previously accessible. This document tries to give a framework for developing a business intelligence system. AI has been used to find and investigate security flaws. Manipulation and movement When given a limited static environment, AI robots can readily detect and map their surroundings.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics
AU  - Jasmin Praful Bharadiya
Y1  - 2023/06/27
PY  - 2023
N1  - https://doi.org/10.11648/j.ajai.20230701.14
DO  - 10.11648/j.ajai.20230701.14
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
SP  - 24
EP  - 30
PB  - Science Publishing Group
SN  - 2639-9733
UR  - https://doi.org/10.11648/j.ajai.20230701.14
AB  - Business intelligence systems give important and competitive information to business planners and decision-makers by combining operational and historical data with analytical tools. Business intelligence (BI) aims to increase the timeliness and quality of data, allowing managers to better comprehend their company's position with rivals. For example, changes in market share, consumer behavior and spending patterns, customer preferences, corporate capabilities, and market circumstances may be analyzed using business intelligence tools and technology. In addition, analysts and managers may utilize business intelligence to determine which changes are most likely to adapt to shifting trends. The nontrivial extraction of implicit, previously unknown, and possibly beneficial information from data is known as data mining. Clustering, data summarization, learning classification rules, discovering dependency networks, analyzing changes, and detecting anomalies are all examples of technological techniques. The introduction of the data warehouse as a repository, advancements in data purification, better hardware and software capabilities, and the emergence of web architecture have all combined to produce a richer business intelligence environment than previously accessible. This document tries to give a framework for developing a business intelligence system. AI has been used to find and investigate security flaws. Manipulation and movement When given a limited static environment, AI robots can readily detect and map their surroundings.
VL  - 7
IS  - 1
ER  -

Copy | Download