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

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.

A Study on the Efficiency and Potential Development of Big Data - Focusing on the Value of Big Data in the Public Sector-

2014 ◽  
Vol 14 (3) ◽  
pp. 501-510
Author(s):  
Ahn, Young Joo ◽  
김승인
Keyword(s):  
Big Data ◽  
Public Sector ◽  
The Public ◽  
Potential Development

scholarly journals The Arlanda Airport Rail Link: Lessons Learned from a Swedish Construction Project

2008 ◽  
Vol 7 (1) ◽  
Author(s):  
Jan-Eric Nilsson ◽  
Lars Hultkrantz ◽  
Urban Karlström
Keyword(s):  
Public Sector ◽  
Construction Project ◽  
Public Private Partnership ◽  
Lessons Learned ◽  
Tax Revenue ◽  
Costs And Benefits ◽  
Private Company ◽  
Railway Network ◽  
Private Partnership ◽  
The Public

The Stockholm – Arlanda airport rail link is a public-private partnership opened for traffic in 1999. This paper addresses costs and benefits of giving a private company control over one section of the otherwise public railway network. The project has reduced the pressure on the public sector’s budget and reduced the need to raise efficiency distorting tax revenue. The number of passengers has been below expectations. Track capacity may, however, be sufficient to negotiate an increase the supply of rail services by way of extending existing commuter trains, in that way attracting more passengers.

scholarly journals New terms for collective action in the public sector in Denmark: Lessons learned from the teacher lock-out in 2013

2017 ◽  
Vol 59 (5) ◽  
pp. 593-610 ◽  
Author(s):  
Laust Høgedahl ◽  
Flemming Ibsen
Keyword(s):  
Public Sector ◽  
Collective Action ◽  
State Intervention ◽  
Lessons Learned ◽  
Public And Private ◽  
The Public ◽  
The Social ◽  
New Finding ◽  
Set Up ◽  
Labour Disputes

This article investigates the use of collective action in the public sector by analysing the Danish teacher lock-out in 2013. The social partners in the public sector in Denmark (and the other Nordic countries) engage in negotiations and reach agreements regarding wages and working conditions in accordance with an institutional set-up developed in the private sector. This also applies to the use of the so-called weapons of conflict – strikes/blockades and lock-outs/boycotts – in connection with labour disputes if the parties are unable to reach agreement through negotiations or mediation. But there is a big difference in the premises and conditions upon which collective industrial conflict as an institutionalised form of collective action proceeds when comparing the public and private sectors in Denmark. The article shows how the use of collective industrial conflicts in the public sector has a number of built-in systemic institutional flaws, as the public employers are the budgetary authority and legislators at the same time. This is not a new finding; however, these multiple roles become problematic when public employers use the lock-out weapon offensively in combination with state intervention to end the dispute, which was the case during the teacher lock-out in 2013 in Denmark. The article concludes with the presentation of a number of proposed institutional adjustments for bringing the public bargaining model into balance.

Managed care in the public sector: Lessons learned from the los angeles PARTNERS program

2001 ◽  
Vol 28 (2) ◽  
pp. 155-163 ◽  
Author(s):  
Greer Sullivan ◽  
Alexander S. Young ◽  
Stacy Fortney ◽  
David Tillipman ◽  
Dennis Murata ◽  
...  
Keyword(s):  
Public Sector ◽  
Los Angeles ◽  
Managed Care ◽  
Lessons Learned ◽  
The Public

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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