1.

Record Nr.

UNINA9910829837603321

Autore

Dresner Howard <1957->

Titolo

Profiles in performance [[electronic resource] ] : business intelligence journeys and the roadmap for change / / Howard Dresner

Pubbl/distr/stampa

Hoboken, NJ, : John Wiley & Sons, 2009

ISBN

0-470-57011-3

1-119-20394-5

1-282-31669-9

9786612316692

0-470-57009-1

Descrizione fisica

1 online resource (195 p.)

Disciplina

658.3

658.314

658.4012

Soggetti

Corporate culture

Organizational effectiveness

Organizational behavior

Performance

Management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Profiles in Performance: Business Intelligence Journeys and the Roadmap for Change; Contents; Foreword; Preface; Acknowledgments; Chapter 1: Performance-Directed Culture; Chapter 2: Denihan Hospitality Group; Chapter 3: Cleveland Clinic; Chapter 4: Northern California Public Broadcasting; Chapter 5: Mueller Inc.; Chapter 6: Tying It All Together; Index

Sommario/riassunto

Too many organizations invest in performance management and business intelligence projects, without first establishing the needed conditions to ensure success. But the organizations that lay the groundwork for effective change first reap the benefits.  In Profiles in Performance: Business Intelligence Journeys and the Road Map for Change, Howard Dresner (author of The Performance Management



Revolution) worked with several extraordinary organizations to understand their thriving ""performance-directed culture."" In doing so, he developed a unique maturity model-which serve

2.

Record Nr.

UNINA9910299981803321

Titolo

Models, Algorithms and Technologies for Network Analysis : From the Third International Conference on Network Analysis / / edited by Mikhail V. Batsyn, Valery A. Kalyagin, Panos M. Pardalos

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-09758-X

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (145 p.)

Collana

Springer Proceedings in Mathematics & Statistics, , 2194-1017 ; ; 104

Disciplina

003.3

004

510

515

518

519.6

621

Soggetti

Mathematical optimization

Graph theory

Mathematical analysis

Mathematics - Data processing

Computer software

Mathematical models

Optimization

Graph Theory

Analysis

Computational Mathematics and Numerical Analysis

Mathematical Software

Mathematical Modeling and Industrial Mathematics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

A method of static and dynamic pattern analysis of innovative development of Russian regions in the long run -- Using mathematical programming to refine heuristic solutions for network clustering -- Market graph construction using the performance measure of similarity -- How independent are stocks in an independent set of a market graph -- Analysis of Russian industries in the stock market -- A particle swarm optimization algorithm for the multicast routing problem -- König graphs for 4-paths -- A hybrid metaheuristic for routing on multicast networks -- Possible ways of applying citations network analysis to a scientific writing assistant -- Bounding fronts in multi-objective combinatorial optimization with application to aesthetic drawing of business process diagrams.

Sommario/riassunto

This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups. The contributions in this book cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications.  Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network has brought together researchers, practitioners from numerous fields such as operations research, computer science, transportation, energy, biomedicine, computational neuroscience and social sciences. In addition, new approaches and computer environments such as parallel computing, grid computing, cloud computing, and quantum computing have helped to solve large scale network optimization problems.