Excel Basics to Blackbelt: An Accelerated Guide to Decision Support Designs

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Bresfelean, Vasile Paul and Ghisoiu, Nicolae : Higher education decision making and decision support systems. The authors illustrate several issues in decision support and decision support systems DSS , state of the art research in these fields, and also their own studies in designing a higher education DSS. The final section contains our contribution in outlining the modules of the DSS, involving the present systems and databases of FSEGA and UBB, results and activities belonging to FSEGA students, teaching and research staff, to assist decisions for all the actors implicated in the processes, in various specific situations.

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Excel Basics To Blackbelt: An Accelerated Guide To Decision Support Designs

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Higher education decision making and decision support systems

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An Accelerated Guide to Decision Support Designs

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See product details. Ask a question: 0 Answers. From R1 Recommended Offers. Description This second edition of Excel Basics to Blackbelt capitalizes on the success of the first edition and leverages some of the advancements in visualization, data analysis, and sharing capabilities that have emerged over the past five years.

10 Most Used Excel Formula ☑️

As with the original text, the second edition is intended to serve as an accelerated guide to decision support designs for consultants and service professionals. This 'fast track' enables a ramping up of skills in Excel for those who may have never used it to reach a level of mastery that will allow them to integrate Excel with widely available associated applications, make use of intelligent data visualization and analysis techniques, automate activity through basic VBA designs, and develop easy-to-use interfaces for customizing use.

In other words, this book provides users with lessons and examples on integrative Excel use that are not available from alternative texts.

Table of contents Preface; Part I. Getting Oriented: 1. Necessary foundations for decision support; 2. The development environment; 3.

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Getting data - acquisition, linkage, and generation; Part II. Harvesting Intelligence: 4. Structuring problems and option visualization; 5. Simplification tactics; 6. The analytics of optimization; 7. Complex optimization; Part III. Leveraging Dynamic Analysis: 8. Controlled simulation analysis; 9. Scenario generation and optimization; Visualizing complex analytical dynamics; Part IV.