Business Intelligence and EDA Based Architecture for Interoperability of E-Government Data Services

2019 ◽  
Author(s):  
Barakat Oumkaltoum ◽  
Mohammed El Idrissi ◽  
Med Mahmoud El Benany ◽  
El Beqqali Omar
Keyword(s):  
Business Intelligence ◽  
Data Services ◽  
Government Data

scholarly journals Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

2021 ◽  
Vol 16 (4) ◽  
pp. 1042-1065
Author(s):  
Anne Gottfried ◽  
Caroline Hartmann ◽  
Donald Yates
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Open Government ◽  
Open Government Data ◽  
Market Opportunities ◽  
Government Data ◽  
Source Of Information

The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to generate business intelligence, we extend research in this area by exploring how OGD can be used to generate business intelligence for the identification of market opportunities and strategy formulation; an area of research that is still in its infancy. Using a two-industry case study approach (footwear and lumber), we use latent Dirichlet allocation (LDA) topic modeling to extract emerging topics in these two industries from OGD, and a data visualization tool (pyLDAVis) to visualize the topics in order to interpret and transform the data into business intelligence. Additionally, we perform an environmental scanning of the environment for the two industries to validate the usability of the information obtained. The results provide evidence that OGD can be a valuable source of information for generating business intelligence and demonstrate how topic modeling and visualization tools can assist organizations in extracting and analyzing information for the identification of market opportunities.

scholarly journals Uso de Modelos de Dados Multidimensionais para a ampliação da Transparência Ativa │ Use of multidimensional data models to increase active

2013 ◽  
Vol 9 (2) ◽  
Author(s):  
Fernando De Assis Rodrigues ◽  
Ricardo Ceśar Gonçalves Sant'Ana
Keyword(s):  
Information And Communication Technologies ◽  
Business Intelligence ◽  
Data Access ◽  
Communication Technologies ◽  
Multidimensional Data ◽  
Dimensional Model ◽  
Information And Communication ◽  
Future Demands ◽  
Citizen Monitoring ◽  
Government Data

Resumo Ambientes para acesso a dados governamentais, via Tecnologias de Informação e Comunicação, podem ampliar possibilidades de acompanhamento pelo cidadão, retroalimentando futuras demandas. O objetivo deste estudo é identificar nos dados disponíveis via transparência ativa, a existência de elementos que permitam a elaboração de propostas de modelos dimensionais, propiciando a antecipação de demandas de acesso a dados. Como referencial teórico-metodológico, o texto utiliza os conceitos Business Intelligence eCitizen Intelligence. Como resultado, foi elaborada a proposta de um modelo dimensional a partir da consulta de despesas diárias, disponível no Portal de Transparência do Governo Federal.Palavras-chave Transparência Pública, Tecnologias de Informação e Comunicação, Coleta de Dados, Citizen Intelligence, Data Warehouse.Abstract Environments for access to government data, viaInformation and Communications Technologies, may expand possibilities for citizen monitoring, providing feedback for future demands. The aim of this study is to identify, in the available data via active transparency, the existence of elements that allow the construction of new proposals of dimensional models, enabling an anticipation of demands on data access. The theoretical-methodological framework, the text uses the concepts Citizen Intelligence and Business Intelligence. As a result, a dimensional model was proposed, building on a dimensional model from a daily expenses query, available in the Transparency home-page of the Brazillian Federal Government.Keywords Public Transparency, Information and Communication Technologies, Collecting Data, Citizen Intelligence, Data Warehouse.

scholarly journals Unleashing The Power of Your Master Linkage Map – Is There A Role For Business Intelligence Tools In Supporting Data Linkage?

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Brian Stokes
Keyword(s):  
Business Intelligence ◽  
Ad Hoc ◽  
Data Linkage ◽  
Query Language ◽  
Ease Of Use ◽  
Size Estimation ◽  
Cohort Size ◽  
Data Services ◽  
Technical Staff ◽  
Software Applications

Background with rationaleBusiness Intelligence (BI) software applications collect and process large amounts of data from one or more sources, and for a variety of purposes. These can include generating operational or sales reports, developing dashboards and data visualisations, and for ad-hoc analysis and querying of enterprise databases. Main AimBusiness Intelligence (BI) software applications collect and process large amounts of data from one or more sources, and for a variety of purposes. These can include generating operational or sales reports, developing dashboards and data visualisations, and for ad-hoc analysis and querying of enterprise databases. Methods/ApproachIn deciding to develop a series of dashboards to visually represent data stored in its MLM, the TDLU identified routine requests for these data and critically examined existing techniques for extracting data from its MLM. Traditionally Structured Query Language (SQL) queries were developed and used for a single purpose. By critically analysing limitations with this approach, the TDLU identified the power of BI tools and ease of use for both technical and non-technical staff. ResultsImplementing a BI tool is enabling quick and accurate production of a comprehensive array of information. Such information assists with cohort size estimation, producing data for routine and ad-hoc reporting, identifying data quality issues, and to answer questions from prospective users of linked data services including instantly producing estimates of links stored across disparate datasets. Conclusion BI tools are not traditionally considered integral to the operations of data linkage units. However, the TDLU has successfully applied the use of a BI tool to enable a rich set of data locked in its MLM to be quickly made available in multiple, easy to use formats and by technical and non-technical staff.

Systematic and ontology-based approach to interoperable cross-domain open government data services

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hadi Masoumi ◽  
Bahar Farahani ◽  
Fereidoon Shams Aliee
Keyword(s):  
Social Innovation ◽  
Open Government ◽  
Published Data ◽  
Data Sets ◽  
Full Potential ◽  
Top Down ◽  
Content Type ◽  
Data Services ◽  
Open Government Data ◽  
Government Data

Purpose Open government data (OGD) has emerged as a radical paradigm shift and endeavor among government administrations across the world mainly due to its promises of transparency, accountability, public-private collaboration, civic participation, social innovation and data-driven value creation. Complexity, cross-cutting nature, diversity of data sets, interoperability and quality issues usually hamper unlocking the full potential value of data. To tackle these challenges, this paper aims to provide a novel solution using a top-down approach. Design/methodology/approach In this paper, the authors propose a systematic ontology-based approach combined with a novel architecture and its corresponding processes enabling organizations to carry out all the steps in the OGD value chain. In addition, an OGD Platform including a portal (www.iranopendata.ir) and a data management system (www.ogdms.iranopendata.ir) are developed to showcase the proposed solution. Findings The efficiency and the applicability of the solution are evaluated by a real-life use case on energy consumption of the buildings of the city of Tehran, Iran. Finally, a comparison was made with existing solutions, and the results show the proposed approach is able to address the existing gaps in the literature. Originality/value The results imply that modeling and designing the data model, as well as exploiting an ontology-based approach are critical pillars to create rich, relevant and well-described OGD data sets. Moreover, clarity on processes, roles and responsibilities are the key factors influencing the quality of the published data services. Thus, to the best of the knowledge, this is the first study that exploits and considers an ontology-based approach in a top-down manner to create OGD data sets.

scholarly journals The ARL GIS Literacy Project: Support for Government Data Services in the Digital Library

2000 ◽  
Vol 24 (1) ◽  
pp. 19 ◽  
Author(s):  
Mary French
Keyword(s):  
Digital Library ◽  
Data Services ◽  
Government Data

The ARL GIS Literacy Project: Support for Government Data Services in the Digital Library

Development of Business Intelligence Framework for Open Government Data Portal Usage Analysis: A Case Study of Thailand

2021 ◽  
Author(s):  
Sahaporn Sripramong ◽  
Chutiporn Anutariya ◽  
Marut Buranarach ◽  
Patipat Tumsangthong ◽  
Theerawat Wutthitasarn
Keyword(s):  
Business Intelligence ◽  
Open Government ◽  
Open Government Data ◽  
Data Portal ◽  
Government Data ◽  
Usage Analysis

Open-and-Shut Case

2021 ◽  
pp. 61-68
Author(s):  
Rob Kitchin
Keyword(s):  
Public Sector ◽  
Open Data ◽  
Civil Servant ◽  
Data Repository ◽  
Regional Data ◽  
Data Infrastructure ◽  
Data Services ◽  
The Public ◽  
Free Data ◽  
Government Data

This chapter details a conversation between open data advocates and a civil servant in charge of the process, which reveals the challenges of getting government data made open. Without an injection of funds, an open data initiative called the Regional Data Lab, was in danger of winding down. Government had very little interest in making their data available, and even less enthusiasm for spending money during austerity. And open data was not free data; somebody had to pay for the labour of preparing data for release and building the necessary data infrastructure. What the Regional Data Lab does is take what data are already openly available and make them useable for those that lack the skills to build their own tools so they can use them in formulating policy. Rather than negotiating separate contracts every time, it would make more sense to simply centrally fund the Regional Data Lab to provide a suite of core data services. However, the advocates are more interested in the development of a national open data repository and access to more data, and a coordinated approach to providing data analytics for the public sector.

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