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Big data : understanding how data powers big business / / Bill Schmarzo
| 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
| 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
| 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 MBA : driving business strategies with data science / / Bill Schmarzo
| Big data MBA : driving business strategies with data science / / Bill Schmarzo |
| Autore | Schmarzo Bill |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (275 p.) |
| Disciplina | 658.4038 |
| Soggetto topico |
Business intelligence - Data processing
Big data Business planning - Statistical methods Data mining |
| ISBN |
1-119-23884-6
1-119-23888-9 1-119-18138-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Business potential of big data. The big data business mandate -- Big data business model maturity index -- The big data strategy document -- The importance of the user experience -- Data science. Differences between business intelligence and data science -- Data science 101 -- The data lake -- Data science for business stakeholders. Thinking like a data scientist -- "By" analysis technique -- Score development technique -- Monetization exercise -- Metamorphosis exercise -- Building cross-organizational support -- Power of envisioning -- Organizational ramifications -- Stories. |
| Record Nr. | UNINA-9910137168103321 |
|
Schmarzo Bill
|
||
| Indianapolis, Indiana : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data MBA : driving business strategies with data science / / Bill Schmarzo
| Big data MBA : driving business strategies with data science / / Bill Schmarzo |
| Autore | Schmarzo Bill |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (275 p.) |
| Disciplina | 658.4038 |
| Soggetto topico |
Business intelligence - Data processing
Big data Business planning - Statistical methods Data mining |
| ISBN |
1-119-23884-6
1-119-23888-9 1-119-18138-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Business potential of big data. The big data business mandate -- Big data business model maturity index -- The big data strategy document -- The importance of the user experience -- Data science. Differences between business intelligence and data science -- Data science 101 -- The data lake -- Data science for business stakeholders. Thinking like a data scientist -- "By" analysis technique -- Score development technique -- Monetization exercise -- Metamorphosis exercise -- Building cross-organizational support -- Power of envisioning -- Organizational ramifications -- Stories. |
| Record Nr. | UNINA-9910812816603321 |
|
Schmarzo Bill
|
||
| Indianapolis, Indiana : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||