A Review of Big Data and Its Applications in Healthcare and Public Sector

2019 ◽  
pp. 55-66
Author(s):  
Apoorva Shastri ◽  
Mihir Deshpande
Keyword(s):  
Big Data ◽  
Public Sector

Big Data Models and the Public Sector

Web Services ◽  
2019 ◽  
pp. 105-126
Author(s):  
N. Nawin Sona
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Big Data ◽  
Public Sector ◽  
Predictive Analytics ◽  
Data Types ◽  
The Public ◽  
Emerging Trends ◽  
Wide Range ◽  
Learning Data

This chapter aims to give an overview of the wide range of Big Data approaches and technologies today. The data features of Volume, Velocity, and Variety are examined against new database technologies. It explores the complexity of data types, methodologies of storage, access and computation, current and emerging trends of data analysis, and methods of extracting value from data. It aims to address the need for clarity regarding the future of RDBMS and the newer systems. And it highlights the methods in which Actionable Insights can be built into public sector domains, such as Machine Learning, Data Mining, Predictive Analytics and others.

From Data to Vision

2015 ◽  
pp. 1-14 ◽  
Author(s):  
Rhoda Joseph
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Private Sector ◽  
Government Agency ◽  
Specific Context ◽  
Federal Level ◽  
The Public ◽  
Country Level ◽  
Current Survey ◽  
The Government

This chapter examines the use of big data in the public sector. The public sector pertains to government-related activities. The specific context in this chapter looks at the use of big data at the country level, also described as the federal level. Conceptually, data is processed through a “knowledge pyramid” where data is used to generate information, information generates knowledge, and knowledge begets wisdom. Using this theoretical backdrop, this chapter presents an extension of this model and proposes that the next stage in the pyramid is vision. Vision describes a future plan for the government agency or business, based on the current survey of the organization's environment. To develop these concepts, the use of big data is examined in three different countries. Both opportunities and challenges are outlined, with recommendations for the future. The concepts examined in this chapter are within the constraints of the public sector, but may also be applied to private sector initiatives pertaining to big data.

scholarly journals The Effect of Quality Management and Big Data Management on Customer Satisfaction in Korea’s Public Sector

2020 ◽  
Vol 12 (13) ◽  
pp. 5474
Author(s):  
Gye-Soo Kim
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Quality Management ◽  
Customer Satisfaction ◽  
Total Quality Management ◽  
Data Management ◽  
Structural Equation ◽  
Equation Model ◽  
Research Model ◽  
Total Quality

Data-driven decision making is needed in uncertain situations. Total quality management is the source of quality management activities and customer satisfaction. This study is related to the investigation into the application of total quality management based on big data management on the public sector in Korea. We developed a research model for total quality management, and investigated the role of moderating big data management between total quality management leadership and quality management. Moreover, this study has examined the relationships between the practices of the total quality management and using big data, including customer needs and wants. The research model is developed and tested to fit it is with the SEM (Structural Equation Model) analysis using data 250 samples in Korea’s public sector. The survey was conducted between 1 August and 30 August 2019. The results are as follow: Total quality leadership has significantly impacted total quality management. Customer satisfaction was found to be significantly affected by total quality management activities. In addition, the level of big data management has the moderation effect between total quality leadership and total quality management in Korea public sectors. It is necessary to systematically manage data management in a situation where the demand for improvement of public service is gradually increasing online in public sector.

scholarly journals Big Data in the public sector

2018 ◽  
Vol 18 (72) ◽  
pp. 13-29
Author(s):  
Lucía Bellocchio
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Public Administration ◽  
The Internet ◽  
The Public

There is no doubt that one of the most obvious and far-reaching derivations of the Internet and global interconnection through the network is the enormous volume of information to which we have access. It is in this context that the so-called "Big Data" appears, exposing us to great changes in the different areas of our lives, proposing scenarios that point to open governments, transparency and greater closeness to citizens. However, there are many challenges that this new reality poses on Public Administration and there appears not to be unique strategies or models for its implementation. The aim of this work is to review some of the most important concepts that are involved in this era of Big Data in the public sector. 

scholarly journals Big Data and Algorithms in the Public Sector and Their Impact on the Transparency of Decision-Making

2018 ◽  
Vol 331 ◽  
pp. 301-311
Author(s):  
Gergely László Szὄke
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Public Sector ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Legal Framework ◽  
New Wave ◽  
Short Introduction ◽  
The Public ◽  
Potential Use

Big Data is clearly one of the most used buzzwords nowadays, but it really seems that the phenomenon of Big Data will have a huge effect on many different fields, and may be regarded as the new wave of the information revolution started in the 60s of the last century. The potential of exploiting Big Data promises significant benefits (and also new challenges) both in the private and the public sector – this essay will focus on this latter. After a short introduction about Big Data, this paper will first sum up the potential use of Big Data analytics in the public sector. Then I will focus on a specific issue within this scope, namely, how the use of Big Data and algorithm-based decision-making may affect transparency and access to these data. I will focus on the question why the transparency of the algorithms is raised at all, and what the current legal framework for the potential accessibility to them is.

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