scholarly journals O conceito de datawarehousing aplicado à gestão de informações em bibliotecas The data warehousing concept applied to information management in libraries

2011 ◽  
Vol 8 (2) ◽  
pp. 114
Author(s):  
Maurício Ferreira Santana
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Data Warehouse ◽  
Information Management ◽  
Data Warehousing ◽  
Historical Information ◽  
Amount Of Information ◽  
Analytical Results ◽  
Decision Making Processes

Propõe que a arquitetura de data warehouse seja um referencial para implantação em bibliotecas. Esta proposta tem origem na preocupação com o grande volume de informações existente nesses setores, em nível operacional, gerencial e estratégico, e com uma forma efetiva de geração de informações históricas de acervo, clientes (usuários) e custos para o processo decisório. Através de revisão bibliográfica sobre a arquitetura de data warehouse, apresenta-se a arquitetura proposta por Ralph Kimball, em esquema dimensional, tomando-se como exemplo o processo “aquisição”. Espera-se que bibliotecas possam se valer desta arquitetura para obter resultados analíticos similares aos de empresas que já lançam mão desta tecnologia.AbstractPropose the data warehouse architecture as a reference to be applied in libraries. This proposal has began with the concern about the large amount of information existing in these sectors, at the operational, managerial and strategic levels, and as an effective way to generate historical information of collection, customers (users) and costs, for decision making processes. Through literature review about data warehouse architecture, it is presented the architecture proposed by Ralph Kimball, in a dimensional scheme, taking as example the process of "acquisition". It is expected that libraries can use this architecture to obtain analytical results similar to those of companies that already make use of such technology. 

scholarly journals Investment Cost Model in Business Process Intelligence in Banking And Electricity Company

2016 ◽  
Vol 7 (2) ◽  
pp. 113
Author(s):  
Arta Moro Sundjaja
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Data Warehouse ◽  
Business Process ◽  
Cost Model ◽  
Process Performance ◽  
Design Development ◽  
Business Process Intelligence ◽  
Investment Cost ◽  
Decision Making Processes

Higher demand from the top management in measuring business process performance causes the incremental implementation of BPM and BI in the enterprise. The problem faced by top managements is how to integrate their data from all system used to support the business and process the data become information that able to support the decision-making processes. Our literature review elaborates several implementations of BPI on companies in Australia and Germany, challenges faced by organizations in developing BPI solution in their organizations and some cost model to calculate the investment of BPI solutions. This paper shows the success in BPI application of banks and assurance companies in German and electricity work in Australia aims to give a vision about the importance of BPI application. Many challenges in BPI application of companies in German and Australia, BPI solution, and data warehouse design development have been discussed to add insight in future BPI development. And the last is an explanation about how to analyze cost associated with BPI solution investment.

Knowledge Discovery and Geographical Databases

2005 ◽  
pp. 308-312
Author(s):  
Sami Faïz
Keyword(s):  
Decision Making ◽  
Knowledge Discovery ◽  
Data Warehouse ◽  
Data Warehousing ◽  
Geographic Information ◽  
Data Sources ◽  
Multi Scale ◽  
Volatile Collection ◽  
Great Progress ◽  
Decision Making Processes

Geographic data are characterized by huge volumes, lack of standards, multiplicity of data sources, multi-scale requirements, and variability in time. These characteristics make geographic information complex and uncertain. At the same time, the important growth of the quantity of data manipulated and the necessity to make rapid decisions imposed the appearance and the great progress of new tools like data warehousing techniques. Data warehouse is usually defined as a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of decision-making processes.

scholarly journals Analisis Dan Perancangan Data Warehouse Pada PT Pelita Tatamas Jaya

2010 ◽  
Vol 1 (2) ◽  
pp. 461
Author(s):  
Choirul Huda ◽  
Jumas Ranope ◽  
Marly Lumenta ◽  
Kevin Kevin
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Inventory Control ◽  
Research Methodology ◽  
Data Warehousing ◽  
Business Leaders ◽  
Library Research ◽  
Decision Making Processes ◽  
Current Systems ◽  
Support Decision Making

The purpose of this research is to assist in providing information to support decision-making processes in sales, purchasing and inventory control at PT Tatamas Pelita Jaya. With the support of data warehouse, business leaders can be more helpful in making decisions more quickly and precisely. Research methodology includes analysis of current systems, library research, designing a data warehousing schema using bintang. The result of this research is the availability of a data warehouse that can generate information quickly and precisely, thus helping the company in making decisions. The conclusion of this research is the application of data warehouse can be a media aide related parties on PT Tatamas Pelita Jaya in decision making. 

scholarly journals HR analytics a roadmap for decision making: case study

2019 ◽  
Vol 15 (2) ◽  
pp. 979 ◽  
Author(s):  
Brahim Jabir ◽  
Noureddine Falih ◽  
Khalid Rahmani
Keyword(s):  
Operating System ◽  
Decision Making ◽  
Literature Review ◽  
Human Resources ◽  
Management Model ◽  
Amount Of Information ◽  
Vast Amount ◽  
The People ◽  
The Impact

<p>In the socio-economic world, the human resources are in the most top phase of the enterprise evolution. This evolution began when the arithmetic, statistics are applicable over a vast of opportunities and used to identify problems and support decision. However, analytics has been emerged to provide predictions and understand the people performance based on available data.</p>In light of this vast amount of information, human resources services need to deploy a predictive management model and operating system of analytics that can be an efficient and an instead solution that can respond to the gaps of the traditional existing ones and facilitate the decision making. In this paper, we present a literature review of this HR analytics concept and a case study concerning the impact of interventions using an analytics solution.<p> </p>

Architecture for Symbolic Object Warehouse

2009 ◽  
pp. 648-657
Author(s):  
Sandra Elizabeth González Císaro ◽  
Héctor Oscar Nigro
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Complex Data ◽  
Data Complexity ◽  
Intrinsic Structure ◽  
Levels Of Detail ◽  
Decision Making Processes ◽  
Design Systems ◽  
Central Database ◽  
Different Levels

Much information stored in current databases is not always present at necessary different levels of detail or granularity for Decision-Making Processes (DMP). Some organizations have implemented the use of central database - Data Warehouse (DW) - where information performs analysis tasks. This fact depends on the Information Systems (IS) maturity, the type of informational requirements or necessities the organizational structure and business own characteristic. A further important point is the intrinsic structure of complex data; nowadays it is very common to work with complex data, due to syntactic or semantic aspects and the processing type (Darmont et al., 2006). Therefore, we must design systems, which can to maintain data complexity to improve the DMP.

Physical Data Warehousing Design

2011 ◽  
pp. 906-911 ◽  
Author(s):  
Ladjel Bellatreche ◽  
Mukesh Mohania
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Historical Data ◽  
Data Warehousing ◽  
Management Decision ◽  
Materialized Views ◽  
Performance Goal ◽  
Interactive Nature ◽  
Management Decision Making ◽  
Using Data

Recently, organizations have increasingly emphasized applications in which current and historical data are analyzed and explored comprehensively, identifying useful trends and creating summaries of the data in order to support high-level decision making. Every organization keeps accumulating data from different functional units, so that they can be analyzed (after integration), and important decisions can be made from the analytical results. Conceptually, a data warehouse is extremely simple. As popularized by Inmon (1992), it is a “subject-oriented, integrated, time-invariant, non-updatable collection of data used to support management decision-making processes and business intelligence”. A data warehouse is a repository into which are placed all data relevant to the management of an organization and from which emerge the information and knowledge needed to effectively manage the organization. This management can be done using data-mining techniques, comparisons of historical data, and trend analysis. For such analysis, it is vital that (1) data should be accurate, complete, consistent, well defined, and time-stamped for informational purposes; and (2) data should follow business rules and satisfy integrity constraints. Designing a data warehouse is a lengthy, time-consuming, and iterative process. Due to the interactive nature of a data warehouse application, having fast query response time is a critical performance goal. Therefore, the physical design of a warehouse gets the lion’s part of research done in the data warehousing area. Several techniques have been developed to meet the performance requirement of such an application, including materialized views, indexing techniques, partitioning and parallel processing, and so forth. Next, we briefly outline the architecture of a data warehousing system.

scholarly journals A Study on factors influencing Consumers Behavior while availing Hospitality services

2019 ◽  
Vol 10 (1) ◽  
pp. 29-41
Author(s):  
Dr.Meenakshi Sharma
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Marketing Mix ◽  
Decision Making Process ◽  
Consumer Awareness ◽  
Secondary Sources ◽  
Factors Influencing ◽  
The People ◽  
Decision Making Processes ◽  
Area Unit

Consumer behavior (CB) involves acts, attitudes, ideas or experiences that fulfill the patron's wishes and expectations (Solomon, 1996). This involves all activities that are directly involved in the acquisition, use and disposal of products and services, including the preceding and related decision-making processes. ' (Engel, Blackwell, & Miniard, 1995). When hospitality services are found and used, certain factors influence the decision-making process. The paper is predicated on a close review of studies coping with the hospitality business, for this purpose numerous analysis papers, websites and books area unit consulted for a close literature review and also the vital gaps area unit determined within the studies on the idea of that the researcher is developed the analysis downside, made hypothesis and chalked out an appropriate analysis, sampling style and hypothesis. Delhi is taken as sampling of analysis and every one the people higher than fifteen years aged were taken because the population of analysis. Sample size was calculated statistically and was more divided in 2 elements as a result of study is administrated on the idea of gender. The sampling was done proportionately from all the zones of Delhi. Data was taken from primary in addition as secondary sources. Paper analyzes consumer awareness of the hospitality industry's Marketing mix policies. Study can so assist the welcome business to draw and customize their policies. The present analysis is administrated from the view of the buyer.

Sign in / Sign up

Export Citation Format

Share Document