A data base management approach to Privacy Act compliance /

Includes bibliographical references (p. 17-19).

Rules for mapping a conceptual model onto various data base management systems. Available in 2 volumes.

The design and implementation of data bases involve, firstly, the formulation of a conceptual data model by systematic analysis of the structure and information requirements of the organisation for which the system is being designed; secondly, the logical mapping of this conceptual model onto the data structure of the target data base management system (DBMS); and thirdly, the physical mapping of this structured model into storage structures of the target DBMS. The accuracy of both the logical and physical mapping determine the performance of the resulting systems. This thesis describes research which develops software tools to facilitate the implementation of data bases. A conceptual model describing the information structure of a hospital is derived using the Entity-Relationship (E-R) approach and this model forms the basis for mapping onto the logical model. Rules are derived for automatically mapping the conceptual model onto relational and CODASYL types of data structures. Further algorithms are developed for partly automating the implementation of these models onto INGRES, MIMER and VAX-11 DBMS.

Data base system for State water quality management information system /

Mode of access: Internet.

Desenvolvimento e implantação de Data Base Marketing para apoiar estratégia de gestão de fidelização de clientes em empresa administradora de consórcios

o ambiente econômico atual tem exigido empenho das empresas em conhecer, interagir, diferenciar e personalizar cada vez mais produtos e serviços para os clientes. Este cenário requer ferramentas e modelos de gestão para gerenciar as relações com os clientes, com o objetivo de permitir que a empresa consiga perceber e responder rapidamente a exigências dos consumidores. Este trabalho revisa conceitos de CRM (Customer Relationschip Management ou Gerenciamento das Relações com os Clientes) e descreve a implementação de ferramenta de gestão de relacionamento com clientes em empresa de consórcio. O desenvolvimento do trabalho reflete uma necessidade apontada no planejamento estratégico da empresa, sendo que ferramentas de tecnologia de informação e software de banco de dados foram usadas como suporte aos propósitos da gestão empresarial. Como resultado do trabalho, a empresa está hoje atuando com um sistema de Data Base Marketing, o qual foi criado para auxiliar os profissionais envolvidos no processo de atendimento e gestão de relacionamento com clientes. O Data Base Marketing esta sendo utilizado para coletar dados de atendimento a clientes, tais como históricos de atendimento, dados cadastrais, perfil demográfico, perfil psicográfico e categoria de valor dos clientes. Durante o processo de interação com clientes, o sistema facilita o trabalho dos especialistas e permite melhorar a qualidade do atendimento aos clientes, contemplando necessidades dos diversos especialistas da empresa em assuntos como vendas, qualidade em serviços, finanças e gestão empresarial.O processo começou pela constituição de um grupo de trabalho interno para discutir estratégias e cronograma de implantação. A primeira decisão do grupo foi pelo desenvolvimento interno do software visando atender plenamente o "core business" da empresa. O processo começou pela constituição de um grupo de trabalho interno para discutir estratégias e cronograma de implantação. A primeira decisão do grupo foi pelo desenvolvimento interno do software visando atender plenamente o "core business" da empresa. O projeto contou com o conhecimento do negócio dos profissionais da empresa e auxilio de especialistas e consultores externos. O detalhamento do projeto, bem como os passos da pesquisa-ação, está descrito no corpo da dissertação.

Conservation Projects (ConPro) data base from The Nature Conservancy and others about the protected areas with analyzed Conservation Action Plans (CAP) before 2009 (Appendix 1) and after 2009 (Appendix 2)

It is widely recognized that climate change poses significant challenges to the conservation of biodiversity. The need of dealing with relatively rapid and uncertain environmental change calls for the enhancement of adaptive capacity of both biodiversity and conservation management systems. Under the hypothesis that most of the conventional biodiversity conservation tools do not sufficiently stimulate a dynamic protected area management, which takes rapid environmental change into account, we evaluated almost 900 of The Nature Conservancy's site-based conservation action plans. These were elaborated before a so-called climate clinic in 2009, an intensive revision of existing plans and a climate change training of the planning teams. We also compare these results with plans elaborated after the climate clinic. Before 2009, 20% of the CAPs employed the term "climate change" in their description of the site viability, and 45% identified key ecological attributes that are related to climate. 8% of the conservation strategies were directly or indirectly related to climate change adaptation. After 2009, a significantly higher percentage of plans took climate change into account. Our data show that many planning teams face difficulties in integrating climate change in their management and planning. However, technical guidance and concrete training can facilitate management teams learning processes. Arising new tools of adaptive conservation management that explicitly incorporate options for handling future scenarios, vulnerability analyses and risk management into the management process have the potential of further making protected area management more proactive and robust against change.

The precompiler component of a data base dictionary system /

Thesis (M.S.)--University of Illinois at Urbana-Champaign.

Data base directions the next steps : proceedings of the workshop of the National Bureau of Standards and the Association for Computing Machinery, at Fort Lauderdale, Florida, October 29-31, 1975 /

Includes bibliographical references.

Computer system support for data analysis

This thesis is an investigation into the nature of data analysis and computer software systems which support this activity.

The first chapter develops the notion of data analysis as an experimental science which has two major components: data-gathering and theory-building. The basic role of language in determining the meaningfulness of theory is stressed, and the informativeness of a language and data base pair is studied. The static and dynamic aspects of data analysis are then considered from this conceptual vantage point. The second chapter surveys the available types of computer systems which may be useful for data analysis. Particular attention is paid to the questions raised in the first chapter about the language restrictions imposed by the computer system and its dynamic properties.

The third chapter discusses the REL data analysis system, which was designed to satisfy the needs of the data analyzer in an operational relational data system. The major limitation on the use of such systems is the amount of access to data stored on a relatively slow secondary memory. This problem of the paging of data is investigated and two classes of data structure representations are found, each of which has desirable paging characteristics for certain types of queries. One representation is used by most of the generalized data base management systems in existence today, but the other is clearly preferred in the data analysis environment, as conceptualized in Chapter I.

This data representation has strong implications for a fundamental process of data analysis -- the quantification of variables. Since quantification is one of the few means of summarizing and abstracting, data analysis systems are under strong pressure to facilitate the process. Two implementations of quantification are studied: one analagous to the form of the lower predicate calculus and another more closely attuned to the data representation. A comparison of these indicates that the use of the "label class" method results in orders of magnitude improvement over the lower predicate calculus technique.

Novae in the SuperWASP data base

We present the results of trawling through the SuperWASP data base for classical and recurrent novae. We report light curves for a nova in eruption, and for classical novae and a recurrent nova in quiescence. For five objects in quiescence, we report periodicity, arising in most cases from orbital modulation of the light from the cool secondary star. The stability of the SuperWASP system means that these data have huge potential for the study not only of novae in eruption, but also of the long-term modulations of light during quiescence.