scholarly journals Discovering the Implementation Success Factors for IoT and Big Data Analytics in Transportation System

2019 ◽  
Vol 705 ◽  
pp. 012049
Author(s):  
W N Hussein ◽  
L M Kamarudin ◽  
H N. Hussain ◽  
N A Ishak ◽  
A. Zakaria ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Success Factors ◽  
Big Data Analytics ◽  
Transportation System ◽  
Implementation Success

scholarly journals The Prospect of Internet of Things and Big Data Analytics in Transportation System

2018 ◽  
Vol 1018 ◽  
pp. 012013 ◽  
Author(s):  
Waleed Noori Hussein ◽  
L.M. Kamarudin ◽  
Haider N. Hussain ◽  
A. Zakaria ◽  
R Badlishah Ahmed ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Transportation System

scholarly journals A Preliminary Systematic Performanceon Critical Success Factors Categories for Big Data Analytics

2019 ◽  
Vol 9 (1) ◽  
pp. 2320-2324 ◽  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Critical Success Factors ◽  
Success Factors ◽  
Research Question ◽  
Big Data Analytics ◽  
Data Driven ◽  
Successful Implementation ◽  
Critical Success ◽  
Data Driven Decisions

Big Data could be used in any industry to make effective data-driven decisions. The successful implementation of Big Data projects requires a combination of innovative technological, organizational, and processing approaches. Over the last decade, the research on Critical Success Factors (CSFs) within Big Data has developed rapidly but the number of available publications is still at a low level. Developing an understandingof the Critical Success Factors (CSFs) and their categoriesare essential to support management in making effective data-driven decisions which could increase their returns on investments.There islimited research conducted on the Critical Success Factors (CSFs) of Big DataAnalytics (BDA) development and implementation.This paper aims to provide more understanding about the availableCritical Success Factors (CSFs) categoriesfor Big Data Analytics implementation and answer the research question (RQ) “What are the existing categories of Critical Success Factors for Big Data Analytics”.Based on a preliminary Systematic Literature Review (SLR) for the available publications related to Big Data CSFs and their categories in the last twelve years (2007-2019),this paper identifiesfive categoriesfor Big Data AnalyticsCritical Success Factors(CSFs), namelyOrganization, People, Technology, Data Management, and Governance categories.

scholarly journals ASSESSING THE DIGITAL MATURITY OF AN ENTERPRISE AS THE FIRST STEP TO DIGITAL TRANSFORMATION

2021 ◽  
Vol 9 (12) ◽  
pp. 369-370
Author(s):  
O. A. Aydel
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Success Factors ◽  
Big Data Analytics ◽  
Digital Transformation ◽  
Highly Qualified ◽  
Qualified Personnel ◽  
It Support

The questions of assessing an enterprise’s digital maturity as the first step in digital transformation are considered. Particular attention is paid to such success factors of digital transformation as awareness of the need for change, availability of quality IT-support and competencies in this area, as well as highly qualified personnel in the field of big data analytics and availability of a strategy of comprehensive digital transformation for the enterprise. 

The Strengths, Weaknesses, Opportunities, and Threats Analysis of Big Data Analytics in Healthcare

2022 ◽  
pp. 1703-1718
Author(s):  
Chaojie Wang
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Success Factors ◽  
Swot Analysis ◽  
Big Data Analytics ◽  
Clear Understanding ◽  
Healthcare Organizations ◽  
Effective Use ◽  
The Cost

Improving the performance and reducing the cost of healthcare have been a great concern and a huge challenge for healthcare organizations and governments at every level in the US. Measures taken have included laws, regulations, policies, and initiatives that aim to improve quality of care, reduce costs of care, and increase access to care. Central to these measures is the meaningful and effective use of Big Data analytics. To reap the benefits of big data analytics and align expectations with results, researchers, practitioners, and policymakers must have a clear understanding of the unique circumstances of healthcare including the strengths, weaknesses, opportunities, and threats (SWOT) associated with the use of this emerging technology. Through descriptive SWOT analysis, this article helps healthcare stakeholders gain awareness of both success factors and issues, pitfalls, and barriers in the adoption of big data analytics in healthcare.

scholarly journals The Role of Big Data in Enhancing Customer Experience in UAE Retail

2018 ◽  
Vol 9 (6) ◽  
pp. 76
Author(s):  
Shital Vakhariya ◽  
Kirti Khanzode
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Success Factors ◽  
Big Data Analytics ◽  
Customer Experience ◽  
Structured Interview ◽  
Critical Success ◽  
Retail Business ◽  
Relevant Factors

Purpose: The objective of this research was to identify critical success factors for the adoption of Big Data in UAE retail. The use of Big Data, in this case, focused on improving its system of recommendations for a better understanding of consumer behavior and its impact on consumer experience.Design/Methodology/Approach: The research was done through interviews & observation of shopping patterns. A semi - structured interview script was used for the interviews.Findings: Based on the results, we outline some propositions related to the opportunities and obstacles for the implementation of Big Data in UAE retail.Originality/Value: The main contribution of the research was the identification of relevant factors to the adoption of Big Data that were not considered as critical for the adoption of previous technologies.Research Rationale: Few years ago, retailers had no idea who was buying what and from where they are buying and where not so bother about customer experience. Now Big Data helps retailers understand individuals' needs, allowing them to create segments to target. Big Data will help in understanding the buying trend. Not may study are conducted in UAE retail. This study will help to understand the adoption and role of Big data in UAE retail customer experience.This paper show how can big data analytics help to improve the retail business and can be applied in the sector and help in decision making.

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