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Big data, big innovation : enabling competitive differentiation through business analytics /
"A practical guide to leveraging your data to spur innovation and growth. Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth - you just need the proper analytics. In Big Data, Big Innovation: Enabl...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley,
2014.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Stubbs, Evan. | |
| 245 | 1 | 0 | |a Big data, big innovation : |b enabling competitive differentiation through business analytics / |c Evan Stubbs. |
| 264 | 1 | |a Hoboken, New Jersey : |b Wiley, |c 2014. | |
| 264 | 4 | |c ©2014 | |
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| 500 | |a Includes index. | ||
| 520 | |a "A practical guide to leveraging your data to spur innovation and growth. Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth - you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation. Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. Build an effective analytics team, and empower them with the right tools Learn how big data drives both evolutionary and revolutionary innovation, and who should be responsible Identify data collection and analysis opportunities and implement action plans Design the platform that suits your company's current and future needs Quantify performance with statistics, programming, and research for a more complete picture of operations Effective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics can show you how to use what you already have and acquire what you need to succeed"-- |c Provided by publisher | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Big Data, Big Innovation: Enabling Competitive Differentiation through Business Analytics; Wiley & SAS Business Series; Copyright; Contents; Preface; How to Read This Book; Core Concepts; Acknowledgments; Part 1: May You Live in Interesting Times; Chapter 1: Lead or Get Out of the Way; The Future Is Now; The Secret Is Leadership; Notes; Chapter 2: Disruption as a Way of Life; The Age of Uncertainty; The Emergence of Big Data; Rise of the Rōnin; The Knowledge Rush; Systematized Chaos; Notes; Part 2: Understanding Culture and Capability; Chapter 3: The Cultural Imperative; Intuitive Action | |
| 505 | 8 | |a The Lost ManufacturerCommon Characteristics; Expanding the Culture; Truth Seeking; Rise of the Technocrats; Common Characteristics; Expanding the Culture; Value Creation; The Unfortunate Regression; Common Characteristics; Expanding the Culture; Functional Innovation; The Benefits of Being Personal; Common Characteristics; Expanding the Culture; Revolutionary Disruption; Common Characteristics; Notes; Chapter 4: The Intelligent Enterprise; Level 1: Unstructured Chaos; Freedom Can Be Constraining; Common Characteristics; Taking the Next Step; Level 2: Structured Chaos | |
| 505 | 8 | |a Total Agility Can Be CostlyCommon Characteristics; Taking the Next Step; Levels 3-5: The Intelligent Enterprise; Common Characteristics; Taking the Next Step; Notes; Part 3: Making It Real; Chapter 5: Organizational Design; What Should It Look Like?; Group Formality; Cost Recovery; What Should It Focus On?; Communities of Practice; Competency Centers; Centers of Excellence; What Services Can It Offer?; Strategic Services; Operational Services; Optimization Services; What Data Does It Need?; Granularity; Temporality; Comprehensiveness; Completeness; Notes; Chapter 6: Operating Models | |
| 505 | 8 | |a What's the Goal?Quality Information; The Knowledge of Insight; The Need for Action; What's the Enabler?; The Efficiency of Automation; Reusing Assets; The Need for Governance; How Does It Create Value?; The Wheel of Value; Ensuring Sustainability; Notes; Chapter 7: Human Capital; What Capabilities Do I Need?; Data Science; Value Architecture; The Power of Both; How Do I Get the Right People?; The SMART Model; Art; Magic; Science; How Do I Keep Them?; Notes; Part 4: Making It Happen; Chapter 8: Innovating with Dynamic Value; The Innovation Cycle; The Innovation Paradox | |
| 505 | 8 | |a The Secret to Success: Dynamic ValueThe Innovation Engine; Reinventing the Rōnin; Notes; Chapter 9: Creating a Plan; Starting the Conversation; Defining the Vision; Approach; Instructions; Identifying Opportunities; Approach; Instructions; Mapping Responsibilities; Approach; Instructions; Taking It to the Next Level; Notes; Conclusion: The Final Chapter Is Up to You; Glossary; About the Author; Index; End User License Agreement | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Decision making |x Statistical methods. | |
| 650 | 0 | |a Industrial management |x Statistical methods. | |
| 650 | 6 | |a Planification stratégique. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Prise de décision |x Méthodes statistiques. | |
| 650 | 6 | |a Gestion d'entreprise |x Méthodes statistiques. | |
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| 776 | 0 | 8 | |i Print version: |a Stubbs, Evan. |t Big data, big innovation. |d Hoboken, New Jersey : John Wiley & Sons, 2014 |z 9781118724644 |w (DLC) 2014007690 |
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