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The analytics revolution : how to improve your business by making analytics operational in the big data era / / Bill Franks
| The analytics revolution : how to improve your business by making analytics operational in the big data era / / Bill Franks |
| Autore | Franks Bill <1968-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (270 pages) |
| Disciplina | 658.4/013 |
| Soggetto topico |
Business intelligence
Big data |
| ISBN |
1-118-97676-2
1-118-93667-1 1-118-97675-4 |
| Classificazione | BUS000000 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Acknowledgments -- Part one. The revolution has begun. Chapter 1. Understanding operational analytics ; Defining operational analytics ; Welcome to analytics 3.0 ; How analytics are changing business ; Putting operational analytics in perspective ; Wrap up ; Notes ; Chapter 2. More data ; "More data" Big data! ; Cutting through the hype ; Preparing for big data ; Putting big data in context ; Wrap up ; Notes ; Chapter 3. Operational analytics in action ; Improving customer experiences ; Time is of the essence ; Making us safer ; Increasing operational efficiency ; Improving our lives in the future ; Finding unexpected value in data ; Wrap up ; Notes -- Part two. Laying the foundation. Chapter 4. Want budget? Build the business case! ; Setting the priorities ; Choosing the right decision criteria ; A business case framework to consider tips for creating a winning business case ; Wrap up ; Notes ; Chapter 5. Creating an analytic platform ; Planning building using ; Wrap up ; Notes ; Chapter 6. Governance and privacy ; Setting the stage for governance ; Deciding where analytics happen ; Governing operational analytics privacy ; Wrap up ; Notes -- Part three. Making analytics operational. Chapter 7. The analytics ; Creating operational analytic processes ; Expanding into new analytic disciplines ; Focusing analytic efforts ; Comparing analytic approaches ; Lessons from the past ; Wrap up ; Notes ; Chapter 8. The analytics organization ; A major shift has occurred ; Staffing organizing ; Succeeding ; Wrap up ; Notes ; Chapter 9. The analytics culture ; Instilling the proper mindset ; Implementing effective policies ; Facilitating success ; Enabling and handling the right failures ; Wrap up ; Notes -- Conclusion. Join the revolution! -- Index. |
| Record Nr. | UNINA-9910132166103321 |
Franks Bill <1968->
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The analytics revolution : how to improve your business by making analytics operational in the big data era / / Bill Franks
| The analytics revolution : how to improve your business by making analytics operational in the big data era / / Bill Franks |
| Autore | Franks Bill <1968-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (270 pages) |
| Disciplina | 658.4/013 |
| Soggetto topico |
Business intelligence
Big data |
| ISBN |
1-118-97676-2
1-118-93667-1 1-118-97675-4 |
| Classificazione | BUS000000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Acknowledgments -- Part one. The revolution has begun. Chapter 1. Understanding operational analytics ; Defining operational analytics ; Welcome to analytics 3.0 ; How analytics are changing business ; Putting operational analytics in perspective ; Wrap up ; Notes ; Chapter 2. More data ; "More data" Big data! ; Cutting through the hype ; Preparing for big data ; Putting big data in context ; Wrap up ; Notes ; Chapter 3. Operational analytics in action ; Improving customer experiences ; Time is of the essence ; Making us safer ; Increasing operational efficiency ; Improving our lives in the future ; Finding unexpected value in data ; Wrap up ; Notes -- Part two. Laying the foundation. Chapter 4. Want budget? Build the business case! ; Setting the priorities ; Choosing the right decision criteria ; A business case framework to consider tips for creating a winning business case ; Wrap up ; Notes ; Chapter 5. Creating an analytic platform ; Planning building using ; Wrap up ; Notes ; Chapter 6. Governance and privacy ; Setting the stage for governance ; Deciding where analytics happen ; Governing operational analytics privacy ; Wrap up ; Notes -- Part three. Making analytics operational. Chapter 7. The analytics ; Creating operational analytic processes ; Expanding into new analytic disciplines ; Focusing analytic efforts ; Comparing analytic approaches ; Lessons from the past ; Wrap up ; Notes ; Chapter 8. The analytics organization ; A major shift has occurred ; Staffing organizing ; Succeeding ; Wrap up ; Notes ; Chapter 9. The analytics culture ; Instilling the proper mindset ; Implementing effective policies ; Facilitating success ; Enabling and handling the right failures ; Wrap up ; Notes -- Conclusion. Join the revolution! -- Index. |
| Record Nr. | UNINA-9910811187803321 |
|
Franks Bill <1968->
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Taming the big data tidal wave [[electronic resource] ] : finding opportunities in huge data streams with advanced analytics / / Bill Franks
| Taming the big data tidal wave [[electronic resource] ] : finding opportunities in huge data streams with advanced analytics / / Bill Franks |
| Autore | Franks Bill <1968-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey, : John Wiley & Sons, Inc., 2012 |
| Descrizione fisica | 1 online resource (334 p.) |
| Disciplina | 006.3/12 |
| Collana | Wiley & SAS business series |
| Soggetto topico |
Data mining
Database searching |
| ISBN |
1-118-24117-7
1-119-20427-5 1-280-58929-9 9786613619129 1-118-22866-9 |
| Classificazione | BUS000000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Taming the Big Data Tidal Wave; Contents; Foreword; Preface; Acknowledgments; PART ONE: The Rise of Big Data; CHAPTER 1: What Is Big Data and Why Does It Matter?; WHAT IS BIG DATA?; IS THE "BIG" PART OR THE "DATA" PART MORE IMPORTANT?; HOW IS BIG DATA DIFFERENT?; HOW IS BIG DATA MORE OF THE SAME?; RISKS OF BIG DATA; WHY YOU NEED TO TAME BIG DATA; THE STRUCTURE OF BIG DATA; EXPLORING BIG DATA; MOST BIG DATA DOESN'T MATTER; FILTERING BIG DATA EFFECTIVELY; MIXING BIG DATA WITH TRADITIONAL DATA; THE NEED FOR STANDARDS; TODAY'S BIG DATA IS NOT TOMORROW'S BIG DATA; WRAP-UP; NOTES
CHAPTER 2: Web Data: The Original Big DataWEB DATA OVERVIEW; WHAT WEB DATA REVEALS; WEB DATA IN ACTION; WRAP-UP; NOTE; CHAPTER 3: A Cross-Section of Big Data Sources and the Value They Hold; AUTO INSURANCE: THE VALUE OF TELEMATICS DATA; MULTIPLE INDUSTRIES: THE VALUE OF TEXT DATA; MULTIPLE INDUSTRIES: THE VALUE OF TIME AND LOCATION DATA; RETAIL AND MANUFACTURING: THE VALUE OF RADIO FREQUENCY IDENTIFICATION DATA; UTILITIES: THE VALUE OF SMART-GRID DATA; GAMING: THE VALUE OF CASINO CHIP TRACKING DATA; INDUSTRIAL ENGINES AND EQUIPMENT: THE VALUE OF SENSOR DATA VIDEO GAMES: THE VALUE OF TELEMETRY DATA TELECOMMUNICATIONS AND OTHER INDUSTRIES: THE VALUE OF SOCIAL NETWORK DATA; WRAP-UP; PART TWO: Taming Big Data: The Technologies, Processes, and Methods; CHAPTER 4: The Evolution of Analytic Scalability; A HISTORY OF SCALABILITY; THE CONVERGENCE OF THE ANALYTIC AND DATA ENVIRONMENTS; MASSIVELY PARALLEL PROCESSING SYSTEMS; CLOUD COMPUTING; GRID COMPUTING; MAPREDUCE; IT ISN'T AN EITHER/OR CHOICE!; WRAP-UP; NOTES; CHAPTER 5: The Evolution of Analytic Processes; THE ANALYTIC SANDBOX; WHAT IS AN ANALYTIC DATA SET?; ENTERPRISE ANALYTIC DATA SETS EMBEDDED SCORING WRAP-UP; CHAPTER 6: The Evolution of Analytic Tools and Methods; THE EVOLUTION OF ANALYTIC METHODS; THE EVOLUTION OF ANALYTIC TOOLS; WRAP-UP; NOTES; PART THREE: Taming Big Data: The People and Approaches; CHAPTER 7: What Makes a Great Analysis?; ANALYSIS VERSUS REPORTING; ANALYSIS: MAKE IT G.R.E.A.T.!; CORE ANALYTICS VERSUS ADVANCED ANALYTICS; LISTEN TO YOUR ANALYSIS; FRAMING THE PROBLEM CORRECTLY; STATISTICAL SIGNIFICANCE VERSUS BUSINESS IMPORTANCE; SAMPLES VERSUS POPULATIONS; MAKING INFERENCES VERSUS COMPUTING STATISTICS; WRAP-UP CHAPTER 8: What Makes a Great Analytic Professional?WHO IS THE ANALYTIC PROFESSIONAL?; THE COMMON MISCONCEPTIONS ABOUT ANALYTIC PROFESSIONALS; EVERY GREAT ANALYTIC PROFESSIONAL IS AN EXCEPTION; THE OFTEN UNDERRATED TRAITS OF A GREAT ANALYTIC PROFESSIONAL; IS ANALYTICS CERTIFICATION NEEDED, OR IS IT NOISE?; WRAP-UP; CHAPTER 9: What Makes a Great Analytics Team?; ALL INDUSTRIES ARE NOT CREATED EQUAL; JUST GET STARTED!; THERE'S A TALENT CRUNCH OUT THERE; TEAM STRUCTURES; KEEPING A GREAT TEAM'S SKILLS UP; WHO SHOULD BE DOING ADVANCED ANALYTICS?; WHY CAN'T IT AND ANALYTIC PROFESSIONALS GET ALONG? WRAP-UP |
| Record Nr. | UNINA-9910141295903321 |
|
Franks Bill <1968->
|
||
| Hoboken, New Jersey, : John Wiley & Sons, Inc., 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Taming the big data tidal wave : finding opportunities in huge data streams with advanced analytics / / Bill Franks
| Taming the big data tidal wave : finding opportunities in huge data streams with advanced analytics / / Bill Franks |
| Autore | Franks Bill <1968-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey, : John Wiley & Sons, Inc., 2012 |
| Descrizione fisica | 1 online resource (334 p.) |
| Disciplina | 006.3/12 |
| Collana | Wiley & SAS business series |
| Soggetto topico |
Data mining
Database searching |
| ISBN |
9786613619129
9781118241172 1118241177 9781119204275 1119204275 9781280589294 1280589299 9781118228661 1118228669 |
| Classificazione | BUS000000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Taming the Big Data Tidal Wave; Contents; Foreword; Preface; Acknowledgments; PART ONE: The Rise of Big Data; CHAPTER 1: What Is Big Data and Why Does It Matter?; WHAT IS BIG DATA?; IS THE "BIG" PART OR THE "DATA" PART MORE IMPORTANT?; HOW IS BIG DATA DIFFERENT?; HOW IS BIG DATA MORE OF THE SAME?; RISKS OF BIG DATA; WHY YOU NEED TO TAME BIG DATA; THE STRUCTURE OF BIG DATA; EXPLORING BIG DATA; MOST BIG DATA DOESN'T MATTER; FILTERING BIG DATA EFFECTIVELY; MIXING BIG DATA WITH TRADITIONAL DATA; THE NEED FOR STANDARDS; TODAY'S BIG DATA IS NOT TOMORROW'S BIG DATA; WRAP-UP; NOTES
CHAPTER 2: Web Data: The Original Big DataWEB DATA OVERVIEW; WHAT WEB DATA REVEALS; WEB DATA IN ACTION; WRAP-UP; NOTE; CHAPTER 3: A Cross-Section of Big Data Sources and the Value They Hold; AUTO INSURANCE: THE VALUE OF TELEMATICS DATA; MULTIPLE INDUSTRIES: THE VALUE OF TEXT DATA; MULTIPLE INDUSTRIES: THE VALUE OF TIME AND LOCATION DATA; RETAIL AND MANUFACTURING: THE VALUE OF RADIO FREQUENCY IDENTIFICATION DATA; UTILITIES: THE VALUE OF SMART-GRID DATA; GAMING: THE VALUE OF CASINO CHIP TRACKING DATA; INDUSTRIAL ENGINES AND EQUIPMENT: THE VALUE OF SENSOR DATA VIDEO GAMES: THE VALUE OF TELEMETRY DATA TELECOMMUNICATIONS AND OTHER INDUSTRIES: THE VALUE OF SOCIAL NETWORK DATA; WRAP-UP; PART TWO: Taming Big Data: The Technologies, Processes, and Methods; CHAPTER 4: The Evolution of Analytic Scalability; A HISTORY OF SCALABILITY; THE CONVERGENCE OF THE ANALYTIC AND DATA ENVIRONMENTS; MASSIVELY PARALLEL PROCESSING SYSTEMS; CLOUD COMPUTING; GRID COMPUTING; MAPREDUCE; IT ISN'T AN EITHER/OR CHOICE!; WRAP-UP; NOTES; CHAPTER 5: The Evolution of Analytic Processes; THE ANALYTIC SANDBOX; WHAT IS AN ANALYTIC DATA SET?; ENTERPRISE ANALYTIC DATA SETS EMBEDDED SCORING WRAP-UP; CHAPTER 6: The Evolution of Analytic Tools and Methods; THE EVOLUTION OF ANALYTIC METHODS; THE EVOLUTION OF ANALYTIC TOOLS; WRAP-UP; NOTES; PART THREE: Taming Big Data: The People and Approaches; CHAPTER 7: What Makes a Great Analysis?; ANALYSIS VERSUS REPORTING; ANALYSIS: MAKE IT G.R.E.A.T.!; CORE ANALYTICS VERSUS ADVANCED ANALYTICS; LISTEN TO YOUR ANALYSIS; FRAMING THE PROBLEM CORRECTLY; STATISTICAL SIGNIFICANCE VERSUS BUSINESS IMPORTANCE; SAMPLES VERSUS POPULATIONS; MAKING INFERENCES VERSUS COMPUTING STATISTICS; WRAP-UP CHAPTER 8: What Makes a Great Analytic Professional?WHO IS THE ANALYTIC PROFESSIONAL?; THE COMMON MISCONCEPTIONS ABOUT ANALYTIC PROFESSIONALS; EVERY GREAT ANALYTIC PROFESSIONAL IS AN EXCEPTION; THE OFTEN UNDERRATED TRAITS OF A GREAT ANALYTIC PROFESSIONAL; IS ANALYTICS CERTIFICATION NEEDED, OR IS IT NOISE?; WRAP-UP; CHAPTER 9: What Makes a Great Analytics Team?; ALL INDUSTRIES ARE NOT CREATED EQUAL; JUST GET STARTED!; THERE'S A TALENT CRUNCH OUT THERE; TEAM STRUCTURES; KEEPING A GREAT TEAM'S SKILLS UP; WHO SHOULD BE DOING ADVANCED ANALYTICS?; WHY CAN'T IT AND ANALYTIC PROFESSIONALS GET ALONG? WRAP-UP |
| Altri titoli varianti | Finding opportunities in huge data streams with advanced analytics |
| Record Nr. | UNINA-9910825345903321 |
|
Franks Bill <1968->
|
||
| Hoboken, New Jersey, : John Wiley & Sons, Inc., 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||