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The Impact of Big Data and Artificial Intelligence on the Types of Business Analysis.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	The Impact of Big Data and Artificial Intelligence on the Types of Business Analysis./
作者:	Lausell Lopez, Efrain A.
面頁冊數:	1 online resource (86 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
Contained By:	Dissertations Abstracts International85-01A.
標題:	Engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9798379917340

The Impact of Big Data and Artificial Intelligence on the Types of Business Analysis.
Lausell Lopez, Efrain A.

The Impact of Big Data and Artificial Intelligence on the Types of Business Analysis. - 1 online resource (86 pages)

Source: Dissertations Abstracts International, Volume: 85-01, Section: A.

Thesis (D.B.A.)--Universidad Ana G Mendez - Gurabo, 2023.

Includes bibliographical references

This research objective is to measure the effects of Big Data, Artificial Intelligence, Real-time, Analysis, and data-driven types of decisions supported by theories to enable organizations to make faster, better, and more intelligent decisions to increase business value using real-time prescriptive analytics. A sample of 5323 records from the Data Scientists database was analyzed using multivariate analysis, and structural equations PLS-SEM was applied to measure the effects between the variables studied. It was discovered that his results influence the business/company towards using Big Data for data-based decision-making. Therefore, the relationships observed in the Big Data construct of structured and semi-structured indicators indicate that these could not be as useful as unstructured data for decision-making in this research because of the current era of social technology. It is also detected that if there is a weak positive relationship between the Type of Analysis and the Selection Machine Language Methods, this finding indicates that companies and organizations need more confidence about adopting other analysis techniques, such as prescriptive analysis, due to their complexity. The results indicate that positive relationships support the selected hypothesis to help increase competitive advantage in the data-driven decision-making process.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379917340Subjects--Topical Terms:

561152
Engineering.
Subjects--Index Terms:

Analysis typesIndex Terms--Genre/Form:

554714
Electronic books.

The Impact of Big Data and Artificial Intelligence on the Types of Business Analysis.
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520 $a This research objective is to measure the effects of Big Data, Artificial Intelligence, Real-time, Analysis, and data-driven types of decisions supported by theories to enable organizations to make faster, better, and more intelligent decisions to increase business value using real-time prescriptive analytics. A sample of 5323 records from the Data Scientists database was analyzed using multivariate analysis, and structural equations PLS-SEM was applied to measure the effects between the variables studied. It was discovered that his results influence the business/company towards using Big Data for data-based decision-making. Therefore, the relationships observed in the Big Data construct of structured and semi-structured indicators indicate that these could not be as useful as unstructured data for decision-making in this research because of the current era of social technology. It is also detected that if there is a weak positive relationship between the Type of Analysis and the Selection Machine Language Methods, this finding indicates that companies and organizations need more confidence about adopting other analysis techniques, such as prescriptive analysis, due to their complexity. The results indicate that positive relationships support the selected hypothesis to help increase competitive advantage in the data-driven decision-making process.
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