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Principles of Data Management and Presentation

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Release : 2017-07-03
Genre : Social Science
Kind : eBook
Book Rating : 322/5 ( reviews)

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Book Synopsis Principles of Data Management and Presentation by : Dr. John P. Hoffmann

Download or read book Principles of Data Management and Presentation written by Dr. John P. Hoffmann. This book was released on 2017-07-03. Available in PDF, EPUB and Kindle. Book excerpt: The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses—introductory statistics and research methods—does not provide sufficient information about how to focus in on a research question, how to access data and work with datasets, or how to present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some familiarity with basic statistics and research methods, it provides a comprehensive set of principles for understanding and using data as part of a research project, including: • how to narrow a research topic to a specific research question • how to access and organize data that are useful for answering a research question • how to use software such as Stata, SPSS, and SAS to manage data • how to present data so that they convey a clear and effective message A companion website includes material to enhance the learning experience—specifically statistical software code and the datasets used in the examples, in text format as well as Stata, SPSS, and SAS formats. Visit www.ucpress.edu/go/datamanagement, Downloads tab.

Principles of Data Management and Presentation

Download Principles of Data Management and Presentation PDF Online Free

Author :
Release : 2017-07-03
Genre : Reference
Kind : eBook
Book Rating : 943/5 ( reviews)

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Book Synopsis Principles of Data Management and Presentation by : John P. Hoffmann

Download or read book Principles of Data Management and Presentation written by John P. Hoffmann. This book was released on 2017-07-03. Available in PDF, EPUB and Kindle. Book excerpt: Why research? -- Developing research questions -- Data -- Principles of data management -- Finding and using secondary data -- Primary and administrative data -- Working with missing data -- Principles of data presentation -- Designing tables for data presentations -- Designing graphics for data presentations

Principles of Database Management

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Release : 2018-07-12
Genre : Computers
Kind : eBook
Book Rating : 129/5 ( reviews)

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Book Synopsis Principles of Database Management by : Wilfried Lemahieu

Download or read book Principles of Database Management written by Wilfried Lemahieu. This book was released on 2018-07-12. Available in PDF, EPUB and Kindle. Book excerpt: Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Principles of Data Management

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Author :
Release : 2007
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Principles of Data Management by : Keith Gordon

Download or read book Principles of Data Management written by Keith Gordon. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: Organisations increasingly view data as a valuable corporate asset and its effective management can be vital to an organisation's success. This professional reference guide covers all the key areas including database development, data quality and corporate data modelling. It is not based on a particular proprietary system; it is business focused, providing the knowledge and techniques required to successfully implement the data management function.

Enterprise Master Data Management

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Release : 2008-06-05
Genre : Business & Economics
Kind : eBook
Book Rating : 277/5 ( reviews)

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Book Synopsis Enterprise Master Data Management by : Allen Dreibelbis

Download or read book Enterprise Master Data Management written by Allen Dreibelbis. This book was released on 2008-06-05. Available in PDF, EPUB and Kindle. Book excerpt: The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration

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