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Strategies for Integrating Big Data ...
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Aladmaai, Hani.
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Strategies for Integrating Big Data Analytics into Small- to Medium-Sized Enterprises: An Exploratory Study.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Strategies for Integrating Big Data Analytics into Small- to Medium-Sized Enterprises: An Exploratory Study./
作者:
Aladmaai, Hani.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
141 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Contained By:
Dissertations Abstracts International80-09B.
標題:
Information Technology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13427794
ISBN:
9780438962552
Strategies for Integrating Big Data Analytics into Small- to Medium-Sized Enterprises: An Exploratory Study.
Aladmaai, Hani.
Strategies for Integrating Big Data Analytics into Small- to Medium-Sized Enterprises: An Exploratory Study.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 141 p.
Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Thesis (D.C.S.)--Colorado Technical University, 2018.
This item must not be sold to any third party vendors.
According to the U.S. Small Business Administration (SBA), small- to medium-sized enterprises (SMEs) are a key player in the United States economy, where they recruit almost 58 million employees and represent 48% of the private sector. Today, SMEs rely increasingly on information technology, computers, and the latest technologies in their day-to-day operations. Still, their limited capabilities and resources make it difficult for the majority of SMEs to implement some of the latest technologies, such as big data analytics. The volume of available data has grown massively with the advancement of the technology and the Internet, and traditional systems can no longer process such volumes; the massive amount of data can be processed only by using big data analytics. Data today represent the most important asset of any SME, and data analysis is necessary for SMEs to understand how to utilize and yield the opportunities this data furnishes. With this in mind, the integration of big data analytics in SMEs can create many opportunities for them to excel, which in turn can improve the economy. Thus, the purpose of this qualitative study is to explore the strategies required by SMEs to utilize big data analytics, effectively. The research question addressed in this research is: What are the strategies required by SMEs to be able to utilize big data analytics in their businesses? To collect the data needed to identify these strategies, the study conducted semi-structured interviews with subject-matter experts.
ISBN: 9780438962552Subjects--Topical Terms:
1030799
Information Technology.
Strategies for Integrating Big Data Analytics into Small- to Medium-Sized Enterprises: An Exploratory Study.
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According to the U.S. Small Business Administration (SBA), small- to medium-sized enterprises (SMEs) are a key player in the United States economy, where they recruit almost 58 million employees and represent 48% of the private sector. Today, SMEs rely increasingly on information technology, computers, and the latest technologies in their day-to-day operations. Still, their limited capabilities and resources make it difficult for the majority of SMEs to implement some of the latest technologies, such as big data analytics. The volume of available data has grown massively with the advancement of the technology and the Internet, and traditional systems can no longer process such volumes; the massive amount of data can be processed only by using big data analytics. Data today represent the most important asset of any SME, and data analysis is necessary for SMEs to understand how to utilize and yield the opportunities this data furnishes. With this in mind, the integration of big data analytics in SMEs can create many opportunities for them to excel, which in turn can improve the economy. Thus, the purpose of this qualitative study is to explore the strategies required by SMEs to utilize big data analytics, effectively. The research question addressed in this research is: What are the strategies required by SMEs to be able to utilize big data analytics in their businesses? To collect the data needed to identify these strategies, the study conducted semi-structured interviews with subject-matter experts.
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