Managing Big Data Integration in the Public Sector

2016 ◽  
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Data Integration ◽  
The Public

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 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.

scholarly journals Optimizing Bus Passenger Complaint Service through Big Data Analysis: Systematized Analysis for Improved Public Sector Management

2016 ◽  
Author(s):  
Weng-Kun Liu ◽  
Chia-Chun Yen
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Public Sector ◽  
Environmental Sustainability ◽  
Research Area ◽  
Big Data Analysis ◽  
The Public ◽  
Demand Chain ◽  
Customer Complaint ◽  
The Government

With the advances in industry and commerce, passengers have become more accepting of environmental sustainability issues; thus, more people now choose to travel by bus. Government administration constitutes an important part of bus transportation services as the government gives the right-of-way to transportation companies allowing them to provide services. When these services are of poor quality, passengers may lodge complaints. The increase in consumer awareness and developments in wireless communication technologies have made it possible for passengers to easily and immediately submit complaints about transportation companies to government institutions, which has brought drastic changes to the supply-demand chain comprised of the public sector, transportation companies, and passengers. This study proposed the use of big data analysis technology including systematized case assignment and data visualization to improve management processes in the public sector and optimize customer complaint services. Taichung City, Taiwan was selected as the research area. There, the customer complaint management process in public sector was improved, effectively solving such issues as station-skipping, allowing the public sector to fully grasp the service level of transportation companies, improving the sustainability of bus operations, and supporting the sustainable development of the public sector-transportation company-passenger supply chain.

Big data maturity models for the public sector: a review of state and organizational level models

2020 ◽  
Vol 14 (4) ◽  
pp. 681-699
Author(s):  
Aras Okuyucu ◽  
Nilay Yavuz
Keyword(s):  
Big Data ◽  
Public Sector ◽  
National Policy ◽  
State Level ◽  
The State ◽  
Organizational Level ◽  
Maturity Model ◽  
Maturity Models ◽  
Content Type ◽  
The Public

Purpose Despite several big data maturity models developed for businesses, assessment of big data maturity in the public sector is an under-explored yet important area. Accordingly, the purpose of this study is to identify the big data maturity models developed specifically for the public sector and evaluate two major big data maturity models in that respect: one at the state level and the other at the organizational level. Design/methodology/approach A literature search is conducted using Web of Science and Google Scholar to determine big data maturity models explicitly addressing big data adoption by governments, and then two major models are identified and compared: Klievink et al.’s Big Data maturity model and Kuraeva’s Big Data maturity model. Findings While Klievink et al.’s model is designed to evaluate Big Data maturity at the organizational level, Kuraeva’s model is appropriate for assessments at the state level. The first model sheds light on the micro-level factors considering the specific data collection routines and requirements of the public organizations, whereas the second one provides a general framework in terms of the conditions necessary for government’s big data maturity such as legislative framework and national policy dimensions (strategic plans and actions). Originality/value This study contributes to the literature by identifying and evaluating the models specifically designed to assess big data maturity in the public sector. Based on the review, it provides insights about the development of integrated models to evaluate big data maturity in the public sector.

From Data to Vision

Big Data ◽  
2016 ◽  
pp. 2149-2163
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.

Big Data in the Public Sector: Selected Applications and Lessons Learned

2016 ◽  
Author(s):  
Louisa Tomar ◽  
William Guicheney ◽  
Hope Kyarisiima ◽  
Tinashe Zimani
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Lessons Learned ◽  
The Public
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