Beginning Power BI [[electronic resource] ] : A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop / / by Dan Clark |
Autore | Clark Dan |
Edizione | [2nd ed. 2017.] |
Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 |
Descrizione fisica | 1 online resource (XVII, 348 p. 380 illus., 370 illus. in color.) |
Disciplina | 658.4038 |
Soggetto topico |
Big data
Knowledge management Computers Big Data/Analytics Knowledge Management Information Systems and Communication Service |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I: Building Models in Power Pivot -- 1. Introducing Power Pivot -- 2. Importing Data into Power Pivot -- 3. Data Munging with Power Query -- 4. Creating the Data Model -- 5. Creating Calculations with DAX -- 6. Creating Measures with DAX -- 7. Incorporating Time Intelligence -- 8. Data Analysis with Pivote Tables and Charts -- Part II. Building Interactive Reports and Dashboards with Power BI Desktop -- 9. Introducing Power BI Desktop -- 10. Creating Reports with Power BI Desktop -- 11. Publishing Reports and Creating Dashboards in the Power BI Portal -- 12. Creating a Complete Solution -- 13. Advanced Topics in Power Query -- 14. Advanced Topics in Power BI. |
Record Nr. | UNINA-9910254926203321 |
Clark Dan | ||
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Behavioral Competencies for Innovation : Using Emotional Intelligence to Foster Innovation / / by Sara Bonesso, Laura Cortellazzo, Fabrizio Gerli |
Autore | Bonesso Sara |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Palgrave Pivot, , 2020 |
Descrizione fisica | 1 online resource |
Disciplina |
658.514
650 |
Soggetto topico |
Management
Industrial management Knowledge management Leadership Manpower policy Innovation/Technology Management Knowledge Management Business Strategy/Leadership Human Resource Development |
ISBN | 3-030-40734-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Current Trends in Innovation Management and the Role of Human Capital -- Chapter 2. The Intangible Human Side of Innovation: A Competency Based View -- Chapter 3. Entrepreneurs and Innovation: Mobilizing Behavioral Competencies in Different Types of Innovation Processes -- Chapter 4. Behavioral Competencies in New Product Development Teams -- Chapter 5. Managing Innovation Through a Competency-Based Approach. |
Record Nr. | UNINA-9910485036903321 |
Bonesso Sara | ||
Cham : , : Springer International Publishing : , : Imprint : Palgrave Pivot, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Beyond business analytics : the foundations of behavioral perspective theory / / Eliezer Geisler |
Autore | Geisler Eliezer <1942-> |
Pubbl/distr/stampa | Cham, Switzerland : , : Palgrave Macmillan, , [2022] |
Descrizione fisica | 1 online resource (228 pages) |
Disciplina | 658.05 |
Soggetto topico |
Business - Data processing
Decision making - Data processing Knowledge management |
ISBN |
9783030437183
9783030437176 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910591042203321 |
Geisler Eliezer <1942-> | ||
Cham, Switzerland : , : Palgrave Macmillan, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Big data : understanding how data powers big business / / Bill Schmarzo |
Autore | Schmarzo Bill |
Edizione | [1st edition] |
Pubbl/distr/stampa | Indianapolis, IN : , : John Wiley & Sons, , [2013] |
Descrizione fisica | 1 online resource (242 p.) |
Disciplina | 658.4038 |
Soggetto topico |
Knowledge management
Management information systems |
Soggetto genere / forma | Electronic books. |
ISBN | 1-118-74003-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Chapter 1 The Big Data Business Opportunity; The Business Transformation Imperative; Walmart Case Study; The Big Data Business Model Maturity Index; Business Monitoring; Business Insights; Business Optimization; Data Monetization; Business Metamorphosis; Big Data Business Model Maturity Observations; Summary; Chapter 2 Big Data History Lesson; Consumer Package Goods and Retail Industry Pre-1988; Lessons Learned and Applicability to Today's Big Data Movement; Summary; Chapter 3 Business Impact of Big Data
Big Data Impacts: The Questions Business Users Can Answer Managing Using the Right Metrics; Data Monetization Opportunities; Digital Media Data Monetization Example; Digital Media Data Assets and Understanding Target Users; Data Monetization Transformations and Enrichments; Summary; Chapter 4 Organizational Impact of Big Data; Data Analytics Lifecycle; Data Scientist Roles and Responsibilities; Discovery; Data Preparation; Model Planning; Model Building; Communicate Results; Operationalize; New Organizational Roles; User Experience Team; New Senior Management Roles Liberating Organizational Creativity Summary; Chapter 5 Understanding Decision Theory; Business Intelligence Challenge; The Death of Why; Big Data User Interface Ramifications; The Human Challenge of Decision Making; Traps in Decision Making; What Can One Do?; Summary; Chapter 6 Creating the Big Data Strategy; The Big Data Strategy Document; Customer Intimacy Example; Turning the Strategy Document into Action; Starbucks Big Data Strategy Document Example; San Francisco Giants Big Data Strategy Document Example; Summary; Chapter 7 Understanding Your Value Creation Process Understanding the Big Data Value Creation Drivers Driver #1: Access to More Detailed Transactional Data; Driver #2: Access to Unstructured Data; Driver #3: Access to Low-latency (Real-Time) Data; Driver #4: Integration of Predictive Analytics; Big Data Envisioning Worksheet; Big Data Business Drivers: Predictive Maintenance Example; Big Data Business Drivers: Customer Satisfaction Example; Big Data Business Drivers: Customer Micro-segmentation Example; Michael Porter's Valuation Creation Models; Michael Porter's Five Forces Analysis; Michael Porter's Value Chain Analysis Value Creation Process: Merchandising Example Summary; Chapter 8 Big Data User Experience Ramifications; The Unintelligent User Experience; Understanding the Key Decisions to Build a Relevant User Experience; Using Big Data Analytics to Improve Customer Engagement; Uncovering and Leveraging Customer Insights; Rewiring Your Customer Lifecycle Management Processes; Using Customer Insights to Drive Business Profitability; Big Data Can Power a New Customer Experience; B2C Example: Powering the Retail Customer Experience; B2B Example: Powering Small- and Medium-Sized Merchant Effectiveness; Summary Chapter 9 Identifying Big Data Use Cases |
Record Nr. | UNINA-9910462982003321 |
Schmarzo Bill | ||
Indianapolis, IN : , : John Wiley & Sons, , [2013] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Big data : understanding how data powers big business / / Bill Schmarzo |
Autore | Schmarzo Bill |
Edizione | [1st edition] |
Pubbl/distr/stampa | Indianapolis, IN : , : John Wiley & Sons, , [2013] |
Descrizione fisica | 1 online resource (242 p.) |
Disciplina | 658.4038 |
Soggetto topico |
Knowledge management
Management information systems |
ISBN | 1-118-74003-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Chapter 1 The Big Data Business Opportunity; The Business Transformation Imperative; Walmart Case Study; The Big Data Business Model Maturity Index; Business Monitoring; Business Insights; Business Optimization; Data Monetization; Business Metamorphosis; Big Data Business Model Maturity Observations; Summary; Chapter 2 Big Data History Lesson; Consumer Package Goods and Retail Industry Pre-1988; Lessons Learned and Applicability to Today's Big Data Movement; Summary; Chapter 3 Business Impact of Big Data
Big Data Impacts: The Questions Business Users Can Answer Managing Using the Right Metrics; Data Monetization Opportunities; Digital Media Data Monetization Example; Digital Media Data Assets and Understanding Target Users; Data Monetization Transformations and Enrichments; Summary; Chapter 4 Organizational Impact of Big Data; Data Analytics Lifecycle; Data Scientist Roles and Responsibilities; Discovery; Data Preparation; Model Planning; Model Building; Communicate Results; Operationalize; New Organizational Roles; User Experience Team; New Senior Management Roles Liberating Organizational Creativity Summary; Chapter 5 Understanding Decision Theory; Business Intelligence Challenge; The Death of Why; Big Data User Interface Ramifications; The Human Challenge of Decision Making; Traps in Decision Making; What Can One Do?; Summary; Chapter 6 Creating the Big Data Strategy; The Big Data Strategy Document; Customer Intimacy Example; Turning the Strategy Document into Action; Starbucks Big Data Strategy Document Example; San Francisco Giants Big Data Strategy Document Example; Summary; Chapter 7 Understanding Your Value Creation Process Understanding the Big Data Value Creation Drivers Driver #1: Access to More Detailed Transactional Data; Driver #2: Access to Unstructured Data; Driver #3: Access to Low-latency (Real-Time) Data; Driver #4: Integration of Predictive Analytics; Big Data Envisioning Worksheet; Big Data Business Drivers: Predictive Maintenance Example; Big Data Business Drivers: Customer Satisfaction Example; Big Data Business Drivers: Customer Micro-segmentation Example; Michael Porter's Valuation Creation Models; Michael Porter's Five Forces Analysis; Michael Porter's Value Chain Analysis Value Creation Process: Merchandising Example Summary; Chapter 8 Big Data User Experience Ramifications; The Unintelligent User Experience; Understanding the Key Decisions to Build a Relevant User Experience; Using Big Data Analytics to Improve Customer Engagement; Uncovering and Leveraging Customer Insights; Rewiring Your Customer Lifecycle Management Processes; Using Customer Insights to Drive Business Profitability; Big Data Can Power a New Customer Experience; B2C Example: Powering the Retail Customer Experience; B2B Example: Powering Small- and Medium-Sized Merchant Effectiveness; Summary Chapter 9 Identifying Big Data Use Cases |
Record Nr. | UNINA-9910787799703321 |
Schmarzo Bill | ||
Indianapolis, IN : , : John Wiley & Sons, , [2013] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Big data : understanding how data powers big business / / Bill Schmarzo |
Autore | Schmarzo Bill |
Edizione | [1st edition] |
Pubbl/distr/stampa | Indianapolis, IN : , : John Wiley & Sons, , [2013] |
Descrizione fisica | 1 online resource (242 p.) |
Disciplina | 658.4038 |
Soggetto topico |
Knowledge management
Management information systems |
ISBN | 1-118-74003-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Chapter 1 The Big Data Business Opportunity; The Business Transformation Imperative; Walmart Case Study; The Big Data Business Model Maturity Index; Business Monitoring; Business Insights; Business Optimization; Data Monetization; Business Metamorphosis; Big Data Business Model Maturity Observations; Summary; Chapter 2 Big Data History Lesson; Consumer Package Goods and Retail Industry Pre-1988; Lessons Learned and Applicability to Today's Big Data Movement; Summary; Chapter 3 Business Impact of Big Data
Big Data Impacts: The Questions Business Users Can Answer Managing Using the Right Metrics; Data Monetization Opportunities; Digital Media Data Monetization Example; Digital Media Data Assets and Understanding Target Users; Data Monetization Transformations and Enrichments; Summary; Chapter 4 Organizational Impact of Big Data; Data Analytics Lifecycle; Data Scientist Roles and Responsibilities; Discovery; Data Preparation; Model Planning; Model Building; Communicate Results; Operationalize; New Organizational Roles; User Experience Team; New Senior Management Roles Liberating Organizational Creativity Summary; Chapter 5 Understanding Decision Theory; Business Intelligence Challenge; The Death of Why; Big Data User Interface Ramifications; The Human Challenge of Decision Making; Traps in Decision Making; What Can One Do?; Summary; Chapter 6 Creating the Big Data Strategy; The Big Data Strategy Document; Customer Intimacy Example; Turning the Strategy Document into Action; Starbucks Big Data Strategy Document Example; San Francisco Giants Big Data Strategy Document Example; Summary; Chapter 7 Understanding Your Value Creation Process Understanding the Big Data Value Creation Drivers Driver #1: Access to More Detailed Transactional Data; Driver #2: Access to Unstructured Data; Driver #3: Access to Low-latency (Real-Time) Data; Driver #4: Integration of Predictive Analytics; Big Data Envisioning Worksheet; Big Data Business Drivers: Predictive Maintenance Example; Big Data Business Drivers: Customer Satisfaction Example; Big Data Business Drivers: Customer Micro-segmentation Example; Michael Porter's Valuation Creation Models; Michael Porter's Five Forces Analysis; Michael Porter's Value Chain Analysis Value Creation Process: Merchandising Example Summary; Chapter 8 Big Data User Experience Ramifications; The Unintelligent User Experience; Understanding the Key Decisions to Build a Relevant User Experience; Using Big Data Analytics to Improve Customer Engagement; Uncovering and Leveraging Customer Insights; Rewiring Your Customer Lifecycle Management Processes; Using Customer Insights to Drive Business Profitability; Big Data Can Power a New Customer Experience; B2C Example: Powering the Retail Customer Experience; B2B Example: Powering Small- and Medium-Sized Merchant Effectiveness; Summary Chapter 9 Identifying Big Data Use Cases |
Record Nr. | UNINA-9910811248803321 |
Schmarzo Bill | ||
Indianapolis, IN : , : John Wiley & Sons, , [2013] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares |
Autore | Soares Sunil |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Boise, : MC Press, 2012 |
Descrizione fisica | 1 online resource (369 p.) |
Disciplina | 005.74 |
Soggetto topico |
Information resources management
Knowledge management |
Soggetto genere / forma | Electronic books. |
ISBN | 1-58347-718-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
Chapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles Appendix D: Contributor ProfilesIndex |
Record Nr. | UNINA-9910453193003321 |
Soares Sunil | ||
Boise, : MC Press, 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares |
Autore | Soares Sunil |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Boise, : MC Press, 2012 |
Descrizione fisica | 1 online resource (369 p.) |
Disciplina | 005.74 |
Soggetto topico |
Information resources management
Knowledge management |
ISBN | 1-58347-718-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
Chapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles Appendix D: Contributor ProfilesIndex |
Record Nr. | UNINA-9910790515403321 |
Soares Sunil | ||
Boise, : MC Press, 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Big data governance : an emerging imperative / / Sunil Soares |
Autore | Soares Sunil |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Boise, : MC Press, 2012 |
Descrizione fisica | 1 online resource (369 p.) |
Disciplina | 005.74 |
Soggetto topico |
Information resources management
Knowledge management |
ISBN | 1-58347-718-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
Chapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles Appendix D: Contributor ProfilesIndex |
Record Nr. | UNINA-9910810324503321 |
Soares Sunil | ||
Boise, : MC Press, 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Big Data in Organizations and the Role of Human Resource Management |
Autore | M. Scholz Tobias |
Pubbl/distr/stampa | Peter Lang International Academic Publishing Group, 2017 |
Descrizione fisica | 1 electronic resource (237 p.) |
Collana | Personalmanagement und Organisation |
Soggetto topico |
Economics, finance, business & management
Knowledge management Business & management Business studies: general Business strategy Business innovation Business ethics & social responsibility Management & management techniques Management: leadership & motivation Management of specific areas |
Soggetto non controllato |
new world of work
socio-technological concurrence ethical data usage homeodynamic organization data constructivism human-data interaction Big data Human resource management |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910563159803321 |
M. Scholz Tobias | ||
Peter Lang International Academic Publishing Group, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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