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Behind every good decision : how anyone can use business analytics to turn data into profitable insight / / Piyanka Jain and Puneet Sharma ; edited by Lakshmi Jayaraman
| Behind every good decision : how anyone can use business analytics to turn data into profitable insight / / Piyanka Jain and Puneet Sharma ; edited by Lakshmi Jayaraman |
| Autore | Jain Piyanka |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York : , : American Management Association, , 2015 |
| Descrizione fisica | 1 online resource (276 p.) |
| Disciplina | 658.4/034 |
| Soggetto topico |
Business planning - Statistical methods
Decision making - Statistical methods Management - Statistical methods Data mining |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-8144-4922-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Cover""; ""Title""; ""Copyright""; ""Contents""; ""Preface""; ""Acknowledgments""; ""Introduction""; ""SECTION 1�HELLO ANALYTICS!""; ""1. Analytics or Die""; ""2. What Is Analytics?""; ""3. Top Seven Analytics Methodologies""; ""SECTION 2�DIVING DEEP""; ""4. B.A.D.I.R.: Business Analytics in Five Simple Steps""; ""5. Predictive Analytics, aka Rocket Science""; ""6. Data and Analytics Tools""; ""SECTION 3�LEADERSHIP TOOLKIT""; ""7. Analytics and Leadership""; ""8. Competing on Analytics""; ""9. Analytics Leader's Playbook""; ""10. Making It Happen""; ""11. Common Pitfalls""
""SECTION 4�ANALYTICS AT WORK: TEN CASE STUDIES""""Appendix""; ""Notes""; ""Index""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""K""; ""L""; ""M""; ""N""; ""O""; ""P""; ""Q""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""Y""; ""Z""; ""About the Authors""; ""Free Sample Chapter from Data Crush by Christopher Surdak"" |
| Record Nr. | UNINA-9910459948603321 |
Jain Piyanka
|
||
| New York : , : American Management Association, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Behind every good decision : how anyone can use business analytics to turn data into profitable insight / / Piyanka Jain and Puneet Sharma ; edited by Lakshmi Jayaraman
| Behind every good decision : how anyone can use business analytics to turn data into profitable insight / / Piyanka Jain and Puneet Sharma ; edited by Lakshmi Jayaraman |
| Autore | Jain Piyanka |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York : , : American Management Association, , 2015 |
| Descrizione fisica | 1 online resource (276 p.) |
| Disciplina | 658.4/034 |
| Soggetto topico |
Business planning - Statistical methods
Decision making - Statistical methods Management - Statistical methods Data mining |
| ISBN |
1-4002-3104-3
0-8144-4922-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Cover""; ""Title""; ""Copyright""; ""Contents""; ""Preface""; ""Acknowledgments""; ""Introduction""; ""SECTION 1�HELLO ANALYTICS!""; ""1. Analytics or Die""; ""2. What Is Analytics?""; ""3. Top Seven Analytics Methodologies""; ""SECTION 2�DIVING DEEP""; ""4. B.A.D.I.R.: Business Analytics in Five Simple Steps""; ""5. Predictive Analytics, aka Rocket Science""; ""6. Data and Analytics Tools""; ""SECTION 3�LEADERSHIP TOOLKIT""; ""7. Analytics and Leadership""; ""8. Competing on Analytics""; ""9. Analytics Leader's Playbook""; ""10. Making It Happen""; ""11. Common Pitfalls""
""SECTION 4�ANALYTICS AT WORK: TEN CASE STUDIES""""Appendix""; ""Notes""; ""Index""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""K""; ""L""; ""M""; ""N""; ""O""; ""P""; ""Q""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""Y""; ""Z""; ""About the Authors""; ""Free Sample Chapter from Data Crush by Christopher Surdak"" |
| Record Nr. | UNINA-9910787138803321 |
|
Jain Piyanka
|
||
| New York : , : American Management Association, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Behind every good decision : how anyone can use business analytics to turn data into profitable insight / / Piyanka Jain and Puneet Sharma ; edited by Lakshmi Jayaraman
| Behind every good decision : how anyone can use business analytics to turn data into profitable insight / / Piyanka Jain and Puneet Sharma ; edited by Lakshmi Jayaraman |
| Autore | Jain Piyanka |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York : , : American Management Association, , 2015 |
| Descrizione fisica | 1 online resource (276 p.) |
| Disciplina | 658.4/034 |
| Soggetto topico |
Business planning - Statistical methods
Decision making - Statistical methods Management - Statistical methods Data mining |
| ISBN |
1-4002-3104-3
0-8144-4922-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Cover""; ""Title""; ""Copyright""; ""Contents""; ""Preface""; ""Acknowledgments""; ""Introduction""; ""SECTION 1�HELLO ANALYTICS!""; ""1. Analytics or Die""; ""2. What Is Analytics?""; ""3. Top Seven Analytics Methodologies""; ""SECTION 2�DIVING DEEP""; ""4. B.A.D.I.R.: Business Analytics in Five Simple Steps""; ""5. Predictive Analytics, aka Rocket Science""; ""6. Data and Analytics Tools""; ""SECTION 3�LEADERSHIP TOOLKIT""; ""7. Analytics and Leadership""; ""8. Competing on Analytics""; ""9. Analytics Leader's Playbook""; ""10. Making It Happen""; ""11. Common Pitfalls""
""SECTION 4�ANALYTICS AT WORK: TEN CASE STUDIES""""Appendix""; ""Notes""; ""Index""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""K""; ""L""; ""M""; ""N""; ""O""; ""P""; ""Q""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""Y""; ""Z""; ""About the Authors""; ""Free Sample Chapter from Data Crush by Christopher Surdak"" |
| Record Nr. | UNINA-9910818103303321 |
|
Jain Piyanka
|
||
| New York : , : American Management Association, , 2015 | ||
| 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 | ||
| ||
Data driven : how performance analytics delivers extraordinary sales results / / Jenny Dearborn
| Data driven : how performance analytics delivers extraordinary sales results / / Jenny Dearborn |
| Autore | Dearborn Jenny |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Somerset, New Jersey : , : Wiley, , [2015] |
| Descrizione fisica | 1 recurso electrónico (272 páginas) : ilustraciones |
| Disciplina | 658.81 |
| Soggetto topico |
Management - Statistical methods
Business planning - Statistical methods Performance Big data Business intelligence Decision making - Statistical methods |
| ISBN |
1-119-20755-X
1-119-04336-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Dedication; Acknowledgments; Preface; Here's the Crux; Sharpen Your Competitive Edge; The Birth of a Vision; What You Can Expect from This Book; Going Holistic; In the Beginning ...; Chapter 1: Playing the Blame Game; The Dangers of Making Decisions Without the Right Data, Part I: A Prime Sales Example; The Dangers of Making Decisions Without the Right Data, Part II: Solving the Wrong Problem; The Dangers of Making Decisions Without the Right Data, Part III: Measuring Efficiency When What You Want Is Effectiveness; Management by Guesstimate
Chapter 2: Pulling Back the CurtainNotes; Chapter 3: Changing Mindsets; Notes; Chapter 4: Finding the Keys; Notes; Chapter 5: Describing What Happened; Notes; Chapter 6: Diagnosing What's Wrong; Chapter 7: Predicting What's Ahead; Chapter 8: Prescribing What to Do; Chapter 9: Celebrating Success; About the Author; Index; End User License Agreement |
| Record Nr. | UNINA-9910132392203321 |
|
Dearborn Jenny
|
||
| Somerset, New Jersey : , : Wiley, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data driven : how performance analytics delivers extraordinary sales results / / Jenny Dearborn
| Data driven : how performance analytics delivers extraordinary sales results / / Jenny Dearborn |
| Autore | Dearborn Jenny |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Somerset, New Jersey : , : Wiley, , [2015] |
| Descrizione fisica | 1 recurso electrónico (272 páginas) : ilustraciones |
| Disciplina | 658.81 |
| Soggetto topico |
Management - Statistical methods
Business planning - Statistical methods Performance Big data Business intelligence Decision making - Statistical methods |
| ISBN |
1-119-20755-X
1-119-04336-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Dedication; Acknowledgments; Preface; Here's the Crux; Sharpen Your Competitive Edge; The Birth of a Vision; What You Can Expect from This Book; Going Holistic; In the Beginning ...; Chapter 1: Playing the Blame Game; The Dangers of Making Decisions Without the Right Data, Part I: A Prime Sales Example; The Dangers of Making Decisions Without the Right Data, Part II: Solving the Wrong Problem; The Dangers of Making Decisions Without the Right Data, Part III: Measuring Efficiency When What You Want Is Effectiveness; Management by Guesstimate
Chapter 2: Pulling Back the CurtainNotes; Chapter 3: Changing Mindsets; Notes; Chapter 4: Finding the Keys; Notes; Chapter 5: Describing What Happened; Notes; Chapter 6: Diagnosing What's Wrong; Chapter 7: Predicting What's Ahead; Chapter 8: Prescribing What to Do; Chapter 9: Celebrating Success; About the Author; Index; End User License Agreement |
| Record Nr. | UNINA-9910812220803321 |
|
Dearborn Jenny
|
||
| Somerset, New Jersey : , : Wiley, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Heuristics in analytics : a practical perspective of what influences our analytical world / / Carlos Andre Reis Pinheiro, Fiona McNeill
| Heuristics in analytics : a practical perspective of what influences our analytical world / / Carlos Andre Reis Pinheiro, Fiona McNeill |
| Autore | Reis Pinheiro Carlos Andre <1940-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] |
| Descrizione fisica | 1 online resource (254 p.) |
| Disciplina | 658.4/033 |
| Altri autori (Persone) | McNeillFiona |
| Collana | Wiley & SAS business series |
| Soggetto topico |
Management - Statistical methods
Decision making - Statistical methods Business planning - Statistical methods Heuristic algorithms System analysis |
| ISBN |
1-118-41674-0
1-118-43426-9 1-118-42022-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World; Copyright; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: Introduction; The Monty Hall Problem; Evolving Analytics; The Business Relevance of Analytics; The Role of Analytics in Innovation; Innovation in a Changing World; Summary; Chapter 2: Unplanned Events, Heuristics, and the Randomness in Our World; Heuristics Concepts; Heuristics in Operations; The Butterfly Effect; Random Walks; The Drunkard's Walk; Probability and Chance; Summary
Chapter 3: The Heuristic Approach and Why We Use It Heuristics in Computing; Heuristic Problem-Solving Methods; Genetic Algorithms: A Formal Heuristic Approach; Foundation of Genetic Algorithms; Initialization; Selection; Reproduction; Termination; Pseudo-Code Algorithm; Benefits of Genetic Algorithms; Influences in Competitive Industries; Genetic Algorithms Solving Business Problems; Summary; Chapter 4: The Analytical Approach; Introduction to Analytical Modeling; The Competitive-Intelligence Cycle; Data; Information; Knowledge; Intelligence; Experience; Summary Chapter 5: Knowledge Applications That Solve Business Problems Customer Behavior Segmentation; Collection Models; Insolvency Segmentation; Collection Notice Recovery; Anticipating Revenue from Collection Actions; Insolvency Prevention; Bad-Debt Classification; Avoiding Taxes; Fraud-Propensity Models; New Fraud Detection; Classifying Fraudulent Usage Behavior; Summary; Chapter 6: The Graph Analysis Approach; Introduction to Graph Analysis; Graphs Structures, Network Metrics, and Analyses Approaches; Network Metrics; Types of Subgraphs; Summary; Chapter 7: Graph Analysis Case Studies Case Study: Identifying Influencers in Telecommunications Background in Churn and Sales; Internal Networks; Customer Influence; Customer Influence and Business Event Correlation; Possible Business Applications and Final Figures in Churn and Sales; Case Study: Claim Validity Detection in Motor Insurance; Background in Insurance and Claims; Network Definition; Participant Networks; Group Analysis; Identifying Outliers; Final Figures in Claims; Visualizing for More Insight; Final Figures in Insurance Exaggeration; Case Study: Fraud Identification in Mobile Operations Background in Telecommunications Fraud Social Networks and Fraud; Community Detection; Finding the Outliers within Communities; Rules and Thresholds for Community Outliers; Fraudster Visualization; Final Figures in Fraud; Summary; Chapter 8: Text Analytics; Text Analytics in the Competitive-Intelligence Cycle; Information Revisited; Knowledge Revisited; Linguistic Models; Text-Mining Models; Intelligence Revisited; Experience Revisited; Summary; Bibliography; Index |
| Record Nr. | UNINA-9910140289803321 |
|
Reis Pinheiro Carlos Andre <1940->
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Heuristics in analytics : a practical perspective of what influences our analytical world / / Carlos Andre Reis Pinheiro, Fiona McNeill
| Heuristics in analytics : a practical perspective of what influences our analytical world / / Carlos Andre Reis Pinheiro, Fiona McNeill |
| Autore | Reis Pinheiro Carlos Andre <1940-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] |
| Descrizione fisica | 1 online resource (254 p.) |
| Disciplina | 658.4/033 |
| Altri autori (Persone) | McNeillFiona |
| Collana | Wiley & SAS business series |
| Soggetto topico |
Management - Statistical methods
Decision making - Statistical methods Business planning - Statistical methods Heuristic algorithms System analysis |
| ISBN |
1-118-41674-0
1-118-43426-9 1-118-42022-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World; Copyright; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: Introduction; The Monty Hall Problem; Evolving Analytics; The Business Relevance of Analytics; The Role of Analytics in Innovation; Innovation in a Changing World; Summary; Chapter 2: Unplanned Events, Heuristics, and the Randomness in Our World; Heuristics Concepts; Heuristics in Operations; The Butterfly Effect; Random Walks; The Drunkard's Walk; Probability and Chance; Summary
Chapter 3: The Heuristic Approach and Why We Use It Heuristics in Computing; Heuristic Problem-Solving Methods; Genetic Algorithms: A Formal Heuristic Approach; Foundation of Genetic Algorithms; Initialization; Selection; Reproduction; Termination; Pseudo-Code Algorithm; Benefits of Genetic Algorithms; Influences in Competitive Industries; Genetic Algorithms Solving Business Problems; Summary; Chapter 4: The Analytical Approach; Introduction to Analytical Modeling; The Competitive-Intelligence Cycle; Data; Information; Knowledge; Intelligence; Experience; Summary Chapter 5: Knowledge Applications That Solve Business Problems Customer Behavior Segmentation; Collection Models; Insolvency Segmentation; Collection Notice Recovery; Anticipating Revenue from Collection Actions; Insolvency Prevention; Bad-Debt Classification; Avoiding Taxes; Fraud-Propensity Models; New Fraud Detection; Classifying Fraudulent Usage Behavior; Summary; Chapter 6: The Graph Analysis Approach; Introduction to Graph Analysis; Graphs Structures, Network Metrics, and Analyses Approaches; Network Metrics; Types of Subgraphs; Summary; Chapter 7: Graph Analysis Case Studies Case Study: Identifying Influencers in Telecommunications Background in Churn and Sales; Internal Networks; Customer Influence; Customer Influence and Business Event Correlation; Possible Business Applications and Final Figures in Churn and Sales; Case Study: Claim Validity Detection in Motor Insurance; Background in Insurance and Claims; Network Definition; Participant Networks; Group Analysis; Identifying Outliers; Final Figures in Claims; Visualizing for More Insight; Final Figures in Insurance Exaggeration; Case Study: Fraud Identification in Mobile Operations Background in Telecommunications Fraud Social Networks and Fraud; Community Detection; Finding the Outliers within Communities; Rules and Thresholds for Community Outliers; Fraudster Visualization; Final Figures in Fraud; Summary; Chapter 8: Text Analytics; Text Analytics in the Competitive-Intelligence Cycle; Information Revisited; Knowledge Revisited; Linguistic Models; Text-Mining Models; Intelligence Revisited; Experience Revisited; Summary; Bibliography; Index |
| Record Nr. | UNINA-9910811300003321 |
|
Reis Pinheiro Carlos Andre <1940->
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Predictive business analytics : forward-looking capabilities to improve business performance / / Lawrence Maisel, Gary Cokins
| Predictive business analytics : forward-looking capabilities to improve business performance / / Lawrence Maisel, Gary Cokins |
| Autore | Maisel Lawrence <1946-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] |
| Descrizione fisica | 1 online resource (274 p.) |
| Disciplina | 658.4/013 |
| Altri autori (Persone) | CokinsGary |
| Collana | Wiley & SAS business series |
| Soggetto topico |
Business planning - Statistical methods
Decision making - Statistical methods Business intelligence |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-78789-7
1-118-24015-4 1-118-22711-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | part one. "Why" -- part two. Principles and practices -- part three. Case studies -- part four. Integrating business methods and techniques -- part five. Trends and organizational challenges. |
| Record Nr. | UNINA-9910452775303321 |
|
Maisel Lawrence <1946->
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
