SIGHabitar – Business Intelligence Based Approach for the Development of Land Information Systems: The Multipurpose Technical Cadastre of Ouro Preto, Brazil

2012 ◽  
pp. 302-315
Author(s):  
João Tácio C. Silva ◽  
José Francisco V. Rezende ◽  
Érika Fidêncio ◽  
Tarick Melo ◽  
Brayan Neves ◽  
...  
Keyword(s):  
Information Systems ◽  
Business Intelligence ◽  
Land Information Systems

LAND INFORMATION SYSTEMS IN DEVELOPING COUNTRIES

Survey Review ◽  
1987 ◽  
Vol 29 (225) ◽  
pp. 131-142
Author(s):  
B. E. Furmston ◽  
I. T. Logan
Keyword(s):  
Developing Countries ◽  
Information Systems ◽  
Land Information Systems

CADASTRES AND LAND INFORMATION SYSTEMS IN COMMON LAW JURISDICTIONS

Survey Review ◽  
1985 ◽  
Vol 28 (217) ◽  
pp. 114-129 ◽  
Author(s):  
I. P. Williamson
Keyword(s):  
Information Systems ◽  
Common Law ◽  
Land Information Systems

scholarly journals Neural neworks in a management information systems

2009 ◽  
Vol 57 (6) ◽  
pp. 331-334 ◽  
Author(s):  
Jana Weinlichová ◽  
Michael Štencl
Keyword(s):  
Neural Networks ◽  
Information Systems ◽  
Business Intelligence ◽  
Management Information Systems ◽  
Effective Solution ◽  
Management Information ◽  
Software Products ◽  
Different Types ◽  
The Neural Networks ◽  
Primary Support

For having retrospection for all over the data which are used, analyzed, evaluated and for a future incident predictions are used Management Information Systems and Business Intelligence. In case of not to be able to apply standard methods of data processing there can be with benefit applied an Artificial Intelligence. In this article will be referred to proofed abilities of Neural Networks. The Neural Networks is supported by many software products related to provide effective solution of manager issues. Those products are given as primary support for manager issues solving. We were tried to find reciprocally between products using Neural Networks and between Management Information Systems for finding a real possibility of applying Neural Networks as a direct part of Management Information Systems (MIS). In the article are presented possibilities to apply Neural Networks on different types of tasks in MIS.

scholarly journals A Concept for Club Information Systems (CIS) - An Example for Applied Sports Informatics

2020 ◽  
Vol 19 (1) ◽  
pp. 102-122
Author(s):  
Thomas Blobel ◽  
Martin Lames
Keyword(s):  
Information Systems ◽  
Business Intelligence ◽  
Best Practice ◽  
Interdisciplinary Approach ◽  
General Concept ◽  
Sports Clubs ◽  
Sports Science ◽  
It Systems ◽  
Starting Point ◽  
Practice Models

AbstractIn professional sports clubs, the growing number of individual IT-systems increases the need for central information systems. Various solutions from different suppliers lead to a fragmented situation in sports. Therefore, a standardized and independent general concept for a club information systems (CIS) is necessary. Due to the different areas involved, an interdisciplinary approach is required, which can be provided by sports informatics. The purpose of this paper is the development of a general and sports informatics driven concept for a CIS, using methods and models of existing areas, especially business intelligence (BI). Software engineering provides general methods and models. Business intelligence addresses similar problems in industry. Therefore, existing best practice models are examined and adapted for sport. From sports science, especially training systems and information systems in sports are considered. Practical relevance is illustrated by an example of Liverpool FC. Based on these areas, the requirements for a CIS are derived, and an architectural concept with its different components is designed and explained. To better understand the practical challenges, a participatory observation was conducted during years of working in sports clubs. This paper provides a new sports informatics approach to the general design and architecture of a CIS using best practice models from BI. It illustrates the complexity of this interdisciplinary topic and the relevance of a sports informatics approach. This paper is meant as a conceptional starting point and shows the need for further work in this field.

Towards Private-Public Research Partnerships Combining Rigor and Relevance in DWH/BI Research

2012 ◽  
pp. 163-175
Author(s):  
Anne Cleven ◽  
Robert Winter ◽  
Felix Wortmann
Keyword(s):  
Information Systems ◽  
Business Intelligence ◽  
Data Warehousing ◽  
Academic Discipline ◽  
Public Research ◽  
Research Partnerships ◽  
Close Link ◽  
Research And Practice ◽  
Two Sides

Business intelligence (BI) and data warehousing (DWH) research represent two increasingly popular, but still emerging fields in the information systems (IS) academic discipline. As such, they raise two substantial questions: Firstly, “how rigorous, i.e., fundamental, constituent, and explanatory, is DWH BI research?” and, secondly, “how relevant, i.e., useful and purposeful, is this research to practitioners?” In this article, the authors uphold the position that relevance and rigor are by no means dichotomous, but two sides of the same coin. Naturally, this requires well-defined approaches and guidelines—for scholarship in general and DWH/BI research in particular. Therefore, this paper proposes the competence center (CC) approach—a private-public partnership between academia and practice. The authors illustrate how the CC approach can be applied within the field of DWH/BI and suggest that a close link between research and practice supports both enhancing relevance to practice and strengthening rigor of research.

Risks Evaluation and IT Audit Aspects of Business Intelligence Solutions

2010 ◽  
pp. 17-40
Author(s):  
Andrea Ko
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Information Systems ◽  
Business Intelligence ◽  
Decision Making Process ◽  
Future Trends ◽  
Security Risks ◽  
Business Intelligence Systems ◽  
Audit Approach ◽  
It Audit

Many organizations are struggling with a vast amount of data in order to gain valuable insights and get support in their decision-making process. Decision-making quality depends increasingly on information and the systems that deliver this information. These services are vulnerable and risky from security aspects, and they have to satisfy several requirements, like transparency, availability, accessibility, convenience, and compliance. IT environments are more and more complex and fragmented, which means additional security risks. Business intelligence solutions provide assistance in these complex business situations. Their main goal is to assist organizations to make better decisions. Better decisions means that these solutions support the management of risks, and they have a key role in raising revenue and in reducing cost. The objectives of this chapter are to give an overview of the business intelligence field and its future trends, to demonstrate the most important business intelligence solutions, meanwhile highlighting their risks, business continuity challenges, and IT audit issues. In spite of the fact that this chapter focuses on the business intelligence solutions and their specialities, risk management and the related IT audit approach can be applied for other categories of information systems. IT audit guidelines, best practices, and standards are presented as well, because they give effective tools in controlling process of business intelligence systems.

Refining the Concept Syndicate Data

2011 ◽  
pp. 292-307
Author(s):  
Mattias Strand
Keyword(s):  
Information Systems ◽  
Business Intelligence ◽  
External Data ◽  
Vital Component ◽  
Modern Information ◽  
Conceptual Discussion

This chapter introduces the concepts of external data and syndicate data. It contributes with a conceptual discussion regarding different categories of syndicate data, as well as definitions and applications thereof. In addition, the chapter also gives a view ahead for syndicate data, with respect to organizational, as well as technological challenges and trends. Thereby, it increases the understanding for syndicate data as a vital component in business intelligence initiatives and explains why external data in general and syndicate data in particular has become prerequisites in modern information systems. Furthermore, the author hopes that the categorization and view ahead will not only contribute to researchers through the conceptual discussion and the definitions of concepts, but also to practitioners spending resources on data originating from outside the own organization, by increasing the understanding of the concepts and the actors within the industry.

Sign in / Sign up

Export Citation Format

Share Document