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1.
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S 43
Sedkaoui, Soraya,.
Big data analytics for entrepreneurial success / / by Soraya Sedkaoui. - Hershey, PA : : Business Science Reference,, [2019]. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A9B75BD8-7281-4A07-B39F-626E7AA0384A. - ISBN 9781522576105 (electronic bk.). - ISBN 152257610X (electronic bk.)
Print version record.
Параллельные издания: Print version: : Sedkaoui, Soraya. Big data analytics for entrepreneurial success. - Hershey, PA : Business Science Reference, [2019]. - ISBN 9781522576099
~РУБ DDC 658/.0557
Рубрики: Management--Statistical methods.
Business planning--Statistical methods.
Big data.
Entrepreneurship.
Big data.
Entrepreneurship.
Management--Statistical methods.
BUSINESS & ECONOMICS / Industrial Management
BUSINESS & ECONOMICS / Management
BUSINESS & ECONOMICS / Management Science
BUSINESS & ECONOMICS / Organizational Behavior
Аннотация: "This book addresses the issue of big data analytics from a practical angle for entrepreneurs with a pedagogical explanation of the operation of its main methods and concrete demonstrations of their use. It also builds a common set of concepts, terms, references, methods, applications and approaches in this area"--
S 43
Sedkaoui, Soraya,.
Big data analytics for entrepreneurial success / / by Soraya Sedkaoui. - Hershey, PA : : Business Science Reference,, [2019]. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A9B75BD8-7281-4A07-B39F-626E7AA0384A. - ISBN 9781522576105 (electronic bk.). - ISBN 152257610X (electronic bk.)
Print version record.
Параллельные издания: Print version: : Sedkaoui, Soraya. Big data analytics for entrepreneurial success. - Hershey, PA : Business Science Reference, [2019]. - ISBN 9781522576099
Рубрики: Management--Statistical methods.
Business planning--Statistical methods.
Big data.
Entrepreneurship.
Big data.
Entrepreneurship.
Management--Statistical methods.
BUSINESS & ECONOMICS / Industrial Management
BUSINESS & ECONOMICS / Management
BUSINESS & ECONOMICS / Management Science
BUSINESS & ECONOMICS / Organizational Behavior
Аннотация: "This book addresses the issue of big data analytics from a practical angle for entrepreneurs with a pedagogical explanation of the operation of its main methods and concrete demonstrations of their use. It also builds a common set of concepts, terms, references, methods, applications and approaches in this area"--
2.
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G 77
Greasley, Andrew,.
Simulating business processes for descriptive, predictive, and prescriptive analytics / / Andrew Greasley. - [Boston, Mass.?] : : De G Press,, ©2019. - 1 online resource (x, 341 pages) : : il. - Includes bibliographical references (pages 336-337) and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4262B303-C245-4041-9BEE-747EC73B06FA. - ISBN 9781547400713 (electronic bk.). - ISBN 1547400714 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Greasley, Andrew. Simulating business processes for descriptive, predictive, and prescriptive analytics. - [Boston, Mass.?] : De G Press, [2019]. - ISBN 9781547416745
Содержание:
Frontmatter -- Preface -- Acknowledgments -- About the author -- part 1: Understanding simulation and analytics. Analytics and simulation basics -- Simulation and business processes -- Build the conceptual model -- Build the simulation -- Use simulation for descriptive, predictive and prescriptive analytics -- part 2: Simulation case studies. Case study: a simulation of a police call center -- Case study: A simulation of a "Last Mile" logistics system -- Case Study: A simulation of an enterprise resource planning system -- Case study: A simulation of a snacks process production system -- Case study: A simulation of a police arrest process -- Case study: A simulation of a food retail distribution network -- Case study: A simulation of a proposed textile plant -- Case study: A simulation of a road traffic accident process -- Case study: A simulation of a rail carriage maintenance depot -- Case study: A simulation of a rail vehicle bogie production facility -- Case study: A simulation of advanced service provision -- Case study: Generating simulation analytics with process mining -- Chapter 18. Case study: Using simulation with data envelopment analysis -- Case study: Agent-based modeling in discrete-event simulation -- Appendix A -- Appendix B -- Index.
~РУБ DDC 658.472
Рубрики: Decision making--Simulation methods.
Management--Statistical methods.
Business intelligence.
Business intelligence.
Decision making--Simulation methods.
Management--Statistical methods.
Аннотация: This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. --
G 77
Greasley, Andrew,.
Simulating business processes for descriptive, predictive, and prescriptive analytics / / Andrew Greasley. - [Boston, Mass.?] : : De G Press,, ©2019. - 1 online resource (x, 341 pages) : : il. - Includes bibliographical references (pages 336-337) and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4262B303-C245-4041-9BEE-747EC73B06FA. - ISBN 9781547400713 (electronic bk.). - ISBN 1547400714 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Greasley, Andrew. Simulating business processes for descriptive, predictive, and prescriptive analytics. - [Boston, Mass.?] : De G Press, [2019]. - ISBN 9781547416745
Содержание:
Frontmatter -- Preface -- Acknowledgments -- About the author -- part 1: Understanding simulation and analytics. Analytics and simulation basics -- Simulation and business processes -- Build the conceptual model -- Build the simulation -- Use simulation for descriptive, predictive and prescriptive analytics -- part 2: Simulation case studies. Case study: a simulation of a police call center -- Case study: A simulation of a "Last Mile" logistics system -- Case Study: A simulation of an enterprise resource planning system -- Case study: A simulation of a snacks process production system -- Case study: A simulation of a police arrest process -- Case study: A simulation of a food retail distribution network -- Case study: A simulation of a proposed textile plant -- Case study: A simulation of a road traffic accident process -- Case study: A simulation of a rail carriage maintenance depot -- Case study: A simulation of a rail vehicle bogie production facility -- Case study: A simulation of advanced service provision -- Case study: Generating simulation analytics with process mining -- Chapter 18. Case study: Using simulation with data envelopment analysis -- Case study: Agent-based modeling in discrete-event simulation -- Appendix A -- Appendix B -- Index.
Рубрики: Decision making--Simulation methods.
Management--Statistical methods.
Business intelligence.
Business intelligence.
Decision making--Simulation methods.
Management--Statistical methods.
Аннотация: This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. --
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