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

Big Data, Data Science, and the U.S....

Lancaster, Roy.

Linked to FindBook

Google Book

Amazon

博客來

Big Data, Data Science, and the U.S. Department of Defense (DOD).

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big Data, Data Science, and the U.S. Department of Defense (DOD)./
Author:	Lancaster, Roy.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	182 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Contained By:	Dissertations Abstracts International80-09B.
Subject:	Information Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13805367
ISBN:	9780438926707

Big Data, Data Science, and the U.S. Department of Defense (DOD).
Lancaster, Roy.

Big Data, Data Science, and the U.S. Department of Defense (DOD). - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 182 p.

Source: Dissertations Abstracts International, Volume: 80-09, Section: B.

Thesis (D.B.A.)--Capella University, 2019.

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

This qualitative case study of a de-identified DOD organization, Bravo Zulu Center (BZC) (pseudonym) explored how U.S. Department of Defense (DOD) personnel glean actionable information from big data sets. This research sought to help analyze and define the skills used by DOD analysts, in order to better understand the application of data science to the DOD. While the technology for producing data has grown tremendously, DOD personnel lack the required data analysis skills and tools. Eleven DOD analysts answered individual interview questions, eight managers participated in a focus group, and the DOD provided documents to assist with investigating two research questions: How does the Bravo Zulu Center glean actionable information from big data sets? How mature are the data science analytical skills, processes, and software tools used by Bravo Zulu Center analysts? Qualitative analysis using the NVivo-11 ® Pro software on the results of the interviews, focus group, and documents, showed that overarching themes of access to quality data, training, data science skills, domain understanding, management, infrastructure and legacy systems, organization structure and culture, and competition for analytical talent appear as concerns for improving big data analysis in the DOD. The Bravo Zulu Center is experiencing the same large data growth as other organizations described in scholarly research and is struggling with creating actionable information from large data sets to meet mission requirements and this is compounded by immature data science skills.

ISBN: 9780438926707Subjects--Topical Terms:

1030799
Information Technology.

Big Data, Data Science, and the U.S. Department of Defense (DOD).
LDR:02725nmm a2200349 4500 001 2207088
005 20190913102448.5
008 201008s2019 ||||||||||||||||| ||eng d
020 $a 9780438926707
035 $a (MiAaPQ)AAI13805367
035 $a (MiAaPQ)capella:20725
035 $a AAI13805367
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lancaster, Roy. $3 636545
245 1 0 $a Big Data, Data Science, and the U.S. Department of Defense (DOD).
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 182 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Grant, Gayle.
502 $a Thesis (D.B.A.)--Capella University, 2019.
506 $a This item must not be sold to any third party vendors.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a This qualitative case study of a de-identified DOD organization, Bravo Zulu Center (BZC) (pseudonym) explored how U.S. Department of Defense (DOD) personnel glean actionable information from big data sets. This research sought to help analyze and define the skills used by DOD analysts, in order to better understand the application of data science to the DOD. While the technology for producing data has grown tremendously, DOD personnel lack the required data analysis skills and tools. Eleven DOD analysts answered individual interview questions, eight managers participated in a focus group, and the DOD provided documents to assist with investigating two research questions: How does the Bravo Zulu Center glean actionable information from big data sets? How mature are the data science analytical skills, processes, and software tools used by Bravo Zulu Center analysts? Qualitative analysis using the NVivo-11 ® Pro software on the results of the interviews, focus group, and documents, showed that overarching themes of access to quality data, training, data science skills, domain understanding, management, infrastructure and legacy systems, organization structure and culture, and competition for analytical talent appear as concerns for improving big data analysis in the DOD. The Bravo Zulu Center is experiencing the same large data growth as other organizations described in scholarly research and is struggling with creating actionable information from large data sets to meet mission requirements and this is compounded by immature data science skills.
590 $a School code: 1351.
650 4 $a Information Technology. $3 1030799
650 4 $a Public administration. $3 531287
650 4 $a Information science. $3 554358
690 $a 0489
690 $a 0617
690 $a 0723
710 2 $a Capella University. $b Business and Technology. $3 2095645
773 0 $t Dissertations Abstracts International $g 80-09B.
790 $a 1351
791 $a D.B.A.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13805367