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The visual organization : data visualization, big data, and the quest for better decisions / / Phil Simon
| The visual organization : data visualization, big data, and the quest for better decisions / / Phil Simon |
| Autore | Simon Phil |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 658.4/038 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Information technology - Management
Information visualization Big data Business - Data processing |
| ISBN |
1-118-85834-4
1-118-85841-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
The Visual Organization; Contents; List of Figures and Tables; Preface: A Tale of Two IPOs; Acknowledgments; How to Help This Book; Part One Book Overview and Background; Introduction; Adventures in Twitter Data Discovery; Contemporary Dataviz 101; Primary Objective; Benefits; More Important Than Ever; Revenge of the Laggards: The Current State of Dataviz; Book Overview; Defining the Visual Organization; Central Thesis of This Book; Cui Bono?; Methodology: Story Matters Here; The Quest for Knowledge and Case Studies; Differentiation: A Note on Other Dataviz Texts; Plan of Attack; Next; Notes
Chapter 1 The Ascent of the Visual OrganizationThe Rise of Big Data; Open Data; The Burgeoning Data Ecosystem; The New Web: Visual, Semantic, and API-Driven; The Arrival of the Visual Web; Linked Data and a More Semantic Web; The Relative Ease of Accessing Data; Greater Efficiency via Clouds and Data Centers; Better Data Tools; Greater Organizational Transparency; The Copycat Economy: Monkey See, Monkey Do; Data Journalism and the Nate Silver Effect; Digital Man; The Arrival of the Visual Citizen; Mobility; The Visual Employee: A More Tech- and Data-Savvy Workforce Navigating Our Data-Driven WorldNext; Notes; Chapter 2 Transforming Data into Insights: The Tools; Dataviz: Part of an Intelligent and Holistic Strategy; The Tyranny of Terminology: Dataviz, BI, Reporting, Analytics, and KPIs; Do Visual Organizations Eschew All Tried-and-True Reporting Tools?; Drawing Some Distinctions; The Dataviz Fab Five; Applications from Large Enterprise Software Vendors; LESVs: The Case For; LESVs: The Case Against; Best-of-Breed Applications; Cost; Ease of Use and Employee Training; Integration and the Big Data World; Popular Open-Source Tools; D3.js; R; Others Design FirmsStart-Ups, Web Services, and Additional Resources; The Final Word: One Size Doesn't Fit All; Next; Notes; Part Two Introducing the Visual Organization; Chapter 3 The Quintessential Visual Organization; Netflix 1.0: Upsetting the Applecart; Netflix 2.0: Self-Cannibalization; Dataviz: Part of a Holistic Big Data Strategy; Dataviz: Imbued in the Netflix Culture; Customer Insights; Better Technical and Network Diagnostics; Embracing the Community; Lessons; Next; Notes; Chapter 4 Dataviz in the DNA; The Beginnings; UX Is Paramount; The Plumbing; Embracing Free and Open-Source Tools Extensive Use of APIsLessons; Next; Notes; Chapter 5 Transparency in Texas; Background; Early Dataviz Efforts; Embracing Traditional BI; Data Discovery; Better Visibility into Student Life; Expansion: Spreading Dataviz Throughout the System; Results; Lessons; Next; Notes; Part Three Getting Started: Becoming a Visual Organization; Chapter 6 The Four-Level Visual Organization Framework; Big Disclaimers; A Simple Model; Limits and Clarifications; Progression; Is Progression Always Linear?; Can a Small Organization Best Position Itself to Reach Levels 3 and 4? If So, How? Can an Organization Start at Level 3 or 4 and Build from the Top Down? |
| Record Nr. | UNINA-9910787881703321 |
Simon Phil
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The visual organization : data visualization, big data, and the quest for better decisions / / Phil Simon
| The visual organization : data visualization, big data, and the quest for better decisions / / Phil Simon |
| Autore | Simon Phil |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 658.4/038 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Information technology - Management
Information visualization Big data Business - Data processing |
| ISBN |
1-118-85834-4
1-118-85841-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
The Visual Organization; Contents; List of Figures and Tables; Preface: A Tale of Two IPOs; Acknowledgments; How to Help This Book; Part One Book Overview and Background; Introduction; Adventures in Twitter Data Discovery; Contemporary Dataviz 101; Primary Objective; Benefits; More Important Than Ever; Revenge of the Laggards: The Current State of Dataviz; Book Overview; Defining the Visual Organization; Central Thesis of This Book; Cui Bono?; Methodology: Story Matters Here; The Quest for Knowledge and Case Studies; Differentiation: A Note on Other Dataviz Texts; Plan of Attack; Next; Notes
Chapter 1 The Ascent of the Visual OrganizationThe Rise of Big Data; Open Data; The Burgeoning Data Ecosystem; The New Web: Visual, Semantic, and API-Driven; The Arrival of the Visual Web; Linked Data and a More Semantic Web; The Relative Ease of Accessing Data; Greater Efficiency via Clouds and Data Centers; Better Data Tools; Greater Organizational Transparency; The Copycat Economy: Monkey See, Monkey Do; Data Journalism and the Nate Silver Effect; Digital Man; The Arrival of the Visual Citizen; Mobility; The Visual Employee: A More Tech- and Data-Savvy Workforce Navigating Our Data-Driven WorldNext; Notes; Chapter 2 Transforming Data into Insights: The Tools; Dataviz: Part of an Intelligent and Holistic Strategy; The Tyranny of Terminology: Dataviz, BI, Reporting, Analytics, and KPIs; Do Visual Organizations Eschew All Tried-and-True Reporting Tools?; Drawing Some Distinctions; The Dataviz Fab Five; Applications from Large Enterprise Software Vendors; LESVs: The Case For; LESVs: The Case Against; Best-of-Breed Applications; Cost; Ease of Use and Employee Training; Integration and the Big Data World; Popular Open-Source Tools; D3.js; R; Others Design FirmsStart-Ups, Web Services, and Additional Resources; The Final Word: One Size Doesn't Fit All; Next; Notes; Part Two Introducing the Visual Organization; Chapter 3 The Quintessential Visual Organization; Netflix 1.0: Upsetting the Applecart; Netflix 2.0: Self-Cannibalization; Dataviz: Part of a Holistic Big Data Strategy; Dataviz: Imbued in the Netflix Culture; Customer Insights; Better Technical and Network Diagnostics; Embracing the Community; Lessons; Next; Notes; Chapter 4 Dataviz in the DNA; The Beginnings; UX Is Paramount; The Plumbing; Embracing Free and Open-Source Tools Extensive Use of APIsLessons; Next; Notes; Chapter 5 Transparency in Texas; Background; Early Dataviz Efforts; Embracing Traditional BI; Data Discovery; Better Visibility into Student Life; Expansion: Spreading Dataviz Throughout the System; Results; Lessons; Next; Notes; Part Three Getting Started: Becoming a Visual Organization; Chapter 6 The Four-Level Visual Organization Framework; Big Disclaimers; A Simple Model; Limits and Clarifications; Progression; Is Progression Always Linear?; Can a Small Organization Best Position Itself to Reach Levels 3 and 4? If So, How? Can an Organization Start at Level 3 or 4 and Build from the Top Down? |
| Record Nr. | UNINA-9910807155903321 |
|
Simon Phil
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
