東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Exploring the Strategies of Decision...

Rodriguez Saldana, Miguel Angel.

Linked to FindBook

Google Book

Amazon

博客來

Exploring the Strategies of Decision-Makers to Improve Business Decisions Using Business Intelligence and Analytics Tools.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring the Strategies of Decision-Makers to Improve Business Decisions Using Business Intelligence and Analytics Tools./
Author:	Rodriguez Saldana, Miguel Angel.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	161 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:	Dissertations Abstracts International83-02B.
Subject:	Computer science. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28546386
ISBN:	9798534685244

Exploring the Strategies of Decision-Makers to Improve Business Decisions Using Business Intelligence and Analytics Tools.
Rodriguez Saldana, Miguel Angel.

Exploring the Strategies of Decision-Makers to Improve Business Decisions Using Business Intelligence and Analytics Tools. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 161 p.

Source: Dissertations Abstracts International, Volume: 83-02, Section: B.

Thesis (D.C.S.)--Colorado Technical University, 2021.

This item must not be sold to any third party vendors.

The exploratory qualitative research investigated decision-makers' strategies to improve business decisions using business intelligence and analytics tools. The decision-makers can make poor decisions when the data quality is low because they have the wrong information or incomplete data. Insufficient or inadequate data quality has an indirect and direct impact on business decisions (Souibgui, Atigui, Zammali, Cherfi, & Yahia, 2019). The study's data was collected through semi-structured open-ended questions via Microsoft Teams from ten participants. The ten participants are the decision-makers in information technology in operations management in the healthcare system with the following requirements: work in IT in the area of operations management, a position as an executive, manager, or supervisor level; two or more years of experience in their current role, and use BI&A data visualization tools in the decision-making process. The study sought to identify the strategies need to improve business decisions when the data quality is low in the decision-making process. The data analysis method was coding. The researcher used for the data analysis MAXQDA that is computer-aided data analysis software. The themes that emerged in this study include (a) data accuracy, (b) BI&A, (c) dashboards and metrics, and (d) data source.

ISBN: 9798534685244Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Business intelligence and analytics

Exploring the Strategies of Decision-Makers to Improve Business Decisions Using Business Intelligence and Analytics Tools.
LDR:02645nmm a2200385 4500 001 2285367
005 20211129133349.5
008 220723s2021 ||||||||||||||||| ||eng d
020 $a 9798534685244
035 $a (MiAaPQ)AAI28546386
035 $a AAI28546386
040 $a MiAaPQ $c MiAaPQ
100 1 $a Rodriguez Saldana, Miguel Angel. $3 3564680
245 1 0 $a Exploring the Strategies of Decision-Makers to Improve Business Decisions Using Business Intelligence and Analytics Tools.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 161 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
500 $a Advisor: Anastasia, Christina M.
502 $a Thesis (D.C.S.)--Colorado Technical University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a The exploratory qualitative research investigated decision-makers' strategies to improve business decisions using business intelligence and analytics tools. The decision-makers can make poor decisions when the data quality is low because they have the wrong information or incomplete data. Insufficient or inadequate data quality has an indirect and direct impact on business decisions (Souibgui, Atigui, Zammali, Cherfi, & Yahia, 2019). The study's data was collected through semi-structured open-ended questions via Microsoft Teams from ten participants. The ten participants are the decision-makers in information technology in operations management in the healthcare system with the following requirements: work in IT in the area of operations management, a position as an executive, manager, or supervisor level; two or more years of experience in their current role, and use BI&A data visualization tools in the decision-making process. The study sought to identify the strategies need to improve business decisions when the data quality is low in the decision-making process. The data analysis method was coding. The researcher used for the data analysis MAXQDA that is computer-aided data analysis software. The themes that emerged in this study include (a) data accuracy, (b) BI&A, (c) dashboards and metrics, and (d) data source.
590 $a School code: 1271.
650 4 $a Computer science. $3 523869
650 4 $a Operations research. $3 547123
650 4 $a Software. $2 gtt. $3 619355
650 4 $a Decision making. $3 517204
653 $a Business intelligence and analytics
653 $a Business intelligence and analytics architecture
653 $a Data quality
653 $a Decision support system
653 $a Decision-making
653 $a Healthcare
690 $a 0984
690 $a 0796
690 $a 0454
710 2 $a Colorado Technical University. $b Computer Science. $3 3342445
773 0 $t Dissertations Abstracts International $g 83-02B.
790 $a 1271
791 $a D.C.S.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28546386