Corporación 2020 : transformar los negocios para el mundo del mañana / / Pavan Sukhdev |
Autore | Sukhdev Pavan |
Pubbl/distr/stampa | Bogotá : , : Ecoe Ediciones, , 2013 |
Descrizione fisica | 1 online resource (xxxiii, 251 páginas) |
Disciplina | 658.802 |
Soggetto topico |
Sustainable development
Desarrollo sostenible Green marketing Mercado verde Business - Environmental aspects Negocios - Aspectos ambientales |
Soggetto genere / forma | Libros electronicos. |
ISBN | 958-771-038-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | spa |
Record Nr. | UNINA-9910671513703321 |
Sukhdev Pavan | ||
Bogotá : , : Ecoe Ediciones, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Corrugated slices : the social jalebi / / Shombit Sengupta |
Autore | Sengupta Shombit |
Pubbl/distr/stampa | New Delhi, India ; ; Thousand Oaks, California : , : SAGE Publications, , 2015 |
Descrizione fisica | 1 online resource (328 p.) |
Disciplina | 658.802 |
Soggetto topico |
Management
Information technology Imagination Social history - 21st century |
Soggetto genere / forma | Electronic books. |
ISBN |
93-5150-487-5
93-5150-211-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; Contents; Preface; 1 - Indiscope; 2 - My Political Whiff; 3 - Globetrotter; 4 - Societal and Business Convergence; Postface - Actioning the Jalebi |
Record Nr. | UNINA-9910463833903321 |
Sengupta Shombit | ||
New Delhi, India ; ; Thousand Oaks, California : , : SAGE Publications, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Corrugated slices : the social jalebi / / Shombit Sengupta |
Autore | Sengupta Shombit |
Pubbl/distr/stampa | New Delhi, India ; ; Thousand Oaks, California : , : SAGE Publications, , 2015 |
Descrizione fisica | 1 online resource (328 p.) |
Disciplina | 658.802 |
Soggetto topico |
Management
Information technology Imagination Social history - 21st century |
ISBN |
93-5150-487-5
93-5150-211-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; Contents; Preface; 1 - Indiscope; 2 - My Political Whiff; 3 - Globetrotter; 4 - Societal and Business Convergence; Postface - Actioning the Jalebi |
Record Nr. | UNINA-9910788054203321 |
Sengupta Shombit | ||
New Delhi, India ; ; Thousand Oaks, California : , : SAGE Publications, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Corrugated slices : the social jalebi / / Shombit Sengupta |
Autore | Sengupta Shombit |
Pubbl/distr/stampa | New Delhi, India ; ; Thousand Oaks, California : , : SAGE Publications, , 2015 |
Descrizione fisica | 1 online resource (328 p.) |
Disciplina | 658.802 |
Soggetto topico |
Management
Information technology Imagination Social history - 21st century |
ISBN |
93-5150-487-5
93-5150-211-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; Contents; Preface; 1 - Indiscope; 2 - My Political Whiff; 3 - Globetrotter; 4 - Societal and Business Convergence; Postface - Actioning the Jalebi |
Record Nr. | UNINA-9910812551203321 |
Sengupta Shombit | ||
New Delhi, India ; ; Thousand Oaks, California : , : SAGE Publications, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Data mining techniques [[electronic resource] ] : for marketing, sales, and customer relationship management / / Gordon S. Linoff, Michael J.A. Berry |
Autore | Linoff Gordon S |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Indianapolis, Ind., : Wiley Pub., Inc., 2011 |
Descrizione fisica | 1 online resource (889 p.) |
Disciplina | 658.802 |
Altri autori (Persone) | BerryMicahel J. A |
Soggetto topico |
Data mining
Marketing - Data processing Business - Data processing |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-68619-7
9786613663139 1-118-08745-3 1-118-08750-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Data Mining Techniques; Contents; Introduction; Chapter 1 What Is Data Mining and Why Do It?; What Is Data Mining?; Data Mining Is a Business Process; Large Amounts of Data; Meaningful Patterns and Rules; Data Mining and Customer Relationship Management; Why Now?; Data Is Being Produced; Data Is Being Warehoused; Computing Power Is Affordable; Interest in Customer Relationship Management Is Strong; Every Business Is a Service Business; Information Is a Product; Commercial Data Mining Software Products Have Become Available; Skills for the Data Miner; The Virtuous Cycle of Data Mining
A Case Study in Business Data Mining Identifying B of A's Business Challenge; Applying Data Mining; Acting on the Results; Measuring the Effects of Data Mining; Steps of the Virtuous Cycle; Identify Business Opportunities; Transform Data into Information; Act on the Information; Measure the Results; Data Mining in the Context of the Virtuous Cycle; Lessons Learned; Chapter 2 Data Mining Applications in Marketing and Customer Relationship Management; Two Customer Lifecycles; The Customer's Lifecycle; The Customer Lifecycle; Subscription Relationships versus Event-Based Relationships Event-Based Relationships Subscription-Based Relationships; Organize Business Processes Around the Customer Lifecycle; Customer Acquisition; Who Are the Prospects?; When Is a Customer Acquired?; What Is the Role of Data Mining?; Customer Activation; Customer Relationship Management; Winback; Data Mining Applications for Customer Acquisition; Identifying Good Prospects; Choosing a Communication Channel; Picking Appropriate Messages; A Data Mining Example: Choosing the Right Place to Advertise; Who Fits the Profile?; Measuring Fitness for Groups of Readers Data Mining to Improve Direct Marketing Campaigns Response Modeling; Optimizing Response for a Fixed Budget; Optimizing Campaign Profitability; Reaching the People Most Influenced by the Message; Using Current Customers to Learn About Prospects; Start Tracking Customers Before They Become "Customers"; Gather Information from New Customers; Acquisition-Time Variables Can Predict Future Outcomes; Data Mining Applications for Customer Relationship Management; Matching Campaigns to Customers; Reducing Exposure to Credit Risk; Predicting Who Will Default; Improving Collections Determining Customer Value Cross-selling, Up-selling, and Making Recommendations; Finding the Right Time for an Offer; Making Recommendations; Retention; Recognizing Attrition; Why Attrition Matters; Different Kinds of Attrition; Different Kinds of Attrition Model; Predicting Who Will Leave; Predicting How Long Customers Will Stay; Beyond the Customer Lifecycle; Lessons Learned; Chapter 3 The Data Mining Process; What Can Go Wrong?; Learning Things That Aren't True; Patterns May Not Represent Any Underlying Rule; The Model Set May Not Reflect the Relevant Population Data May Be at the Wrong Level of Detail |
Record Nr. | UNINA-9910464836703321 |
Linoff Gordon S | ||
Indianapolis, Ind., : Wiley Pub., Inc., 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Data mining techniques [[electronic resource] ] : for marketing, sales, and customer relationship management / / Gordon S. Linoff, Michael J.A. Berry |
Autore | Linoff Gordon S |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Indianapolis, Ind., : Wiley Pub., Inc., 2011 |
Descrizione fisica | 1 online resource (889 p.) |
Disciplina | 658.802 |
Altri autori (Persone) | BerryMicahel J. A |
Soggetto topico |
Data mining
Marketing - Data processing Business - Data processing |
ISBN |
1-280-68619-7
9786613663139 1-118-08745-3 1-118-08750-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Data Mining Techniques; Contents; Introduction; Chapter 1 What Is Data Mining and Why Do It?; What Is Data Mining?; Data Mining Is a Business Process; Large Amounts of Data; Meaningful Patterns and Rules; Data Mining and Customer Relationship Management; Why Now?; Data Is Being Produced; Data Is Being Warehoused; Computing Power Is Affordable; Interest in Customer Relationship Management Is Strong; Every Business Is a Service Business; Information Is a Product; Commercial Data Mining Software Products Have Become Available; Skills for the Data Miner; The Virtuous Cycle of Data Mining
A Case Study in Business Data Mining Identifying B of A's Business Challenge; Applying Data Mining; Acting on the Results; Measuring the Effects of Data Mining; Steps of the Virtuous Cycle; Identify Business Opportunities; Transform Data into Information; Act on the Information; Measure the Results; Data Mining in the Context of the Virtuous Cycle; Lessons Learned; Chapter 2 Data Mining Applications in Marketing and Customer Relationship Management; Two Customer Lifecycles; The Customer's Lifecycle; The Customer Lifecycle; Subscription Relationships versus Event-Based Relationships Event-Based Relationships Subscription-Based Relationships; Organize Business Processes Around the Customer Lifecycle; Customer Acquisition; Who Are the Prospects?; When Is a Customer Acquired?; What Is the Role of Data Mining?; Customer Activation; Customer Relationship Management; Winback; Data Mining Applications for Customer Acquisition; Identifying Good Prospects; Choosing a Communication Channel; Picking Appropriate Messages; A Data Mining Example: Choosing the Right Place to Advertise; Who Fits the Profile?; Measuring Fitness for Groups of Readers Data Mining to Improve Direct Marketing Campaigns Response Modeling; Optimizing Response for a Fixed Budget; Optimizing Campaign Profitability; Reaching the People Most Influenced by the Message; Using Current Customers to Learn About Prospects; Start Tracking Customers Before They Become "Customers"; Gather Information from New Customers; Acquisition-Time Variables Can Predict Future Outcomes; Data Mining Applications for Customer Relationship Management; Matching Campaigns to Customers; Reducing Exposure to Credit Risk; Predicting Who Will Default; Improving Collections Determining Customer Value Cross-selling, Up-selling, and Making Recommendations; Finding the Right Time for an Offer; Making Recommendations; Retention; Recognizing Attrition; Why Attrition Matters; Different Kinds of Attrition; Different Kinds of Attrition Model; Predicting Who Will Leave; Predicting How Long Customers Will Stay; Beyond the Customer Lifecycle; Lessons Learned; Chapter 3 The Data Mining Process; What Can Go Wrong?; Learning Things That Aren't True; Patterns May Not Represent Any Underlying Rule; The Model Set May Not Reflect the Relevant Population Data May Be at the Wrong Level of Detail |
Record Nr. | UNINA-9910789062603321 |
Linoff Gordon S | ||
Indianapolis, Ind., : Wiley Pub., Inc., 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Data mining techniques [[electronic resource] ] : for marketing, sales, and customer relationship management / / Gordon S. Linoff, Michael J.A. Berry |
Autore | Linoff Gordon S |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Indianapolis, Ind., : Wiley Pub., Inc., 2011 |
Descrizione fisica | 1 online resource (889 p.) |
Disciplina | 658.802 |
Altri autori (Persone) | BerryMicahel J. A |
Soggetto topico |
Data mining
Marketing - Data processing Business - Data processing |
ISBN |
1-280-68619-7
9786613663139 1-118-08745-3 1-118-08750-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Data Mining Techniques; Contents; Introduction; Chapter 1 What Is Data Mining and Why Do It?; What Is Data Mining?; Data Mining Is a Business Process; Large Amounts of Data; Meaningful Patterns and Rules; Data Mining and Customer Relationship Management; Why Now?; Data Is Being Produced; Data Is Being Warehoused; Computing Power Is Affordable; Interest in Customer Relationship Management Is Strong; Every Business Is a Service Business; Information Is a Product; Commercial Data Mining Software Products Have Become Available; Skills for the Data Miner; The Virtuous Cycle of Data Mining
A Case Study in Business Data Mining Identifying B of A's Business Challenge; Applying Data Mining; Acting on the Results; Measuring the Effects of Data Mining; Steps of the Virtuous Cycle; Identify Business Opportunities; Transform Data into Information; Act on the Information; Measure the Results; Data Mining in the Context of the Virtuous Cycle; Lessons Learned; Chapter 2 Data Mining Applications in Marketing and Customer Relationship Management; Two Customer Lifecycles; The Customer's Lifecycle; The Customer Lifecycle; Subscription Relationships versus Event-Based Relationships Event-Based Relationships Subscription-Based Relationships; Organize Business Processes Around the Customer Lifecycle; Customer Acquisition; Who Are the Prospects?; When Is a Customer Acquired?; What Is the Role of Data Mining?; Customer Activation; Customer Relationship Management; Winback; Data Mining Applications for Customer Acquisition; Identifying Good Prospects; Choosing a Communication Channel; Picking Appropriate Messages; A Data Mining Example: Choosing the Right Place to Advertise; Who Fits the Profile?; Measuring Fitness for Groups of Readers Data Mining to Improve Direct Marketing Campaigns Response Modeling; Optimizing Response for a Fixed Budget; Optimizing Campaign Profitability; Reaching the People Most Influenced by the Message; Using Current Customers to Learn About Prospects; Start Tracking Customers Before They Become "Customers"; Gather Information from New Customers; Acquisition-Time Variables Can Predict Future Outcomes; Data Mining Applications for Customer Relationship Management; Matching Campaigns to Customers; Reducing Exposure to Credit Risk; Predicting Who Will Default; Improving Collections Determining Customer Value Cross-selling, Up-selling, and Making Recommendations; Finding the Right Time for an Offer; Making Recommendations; Retention; Recognizing Attrition; Why Attrition Matters; Different Kinds of Attrition; Different Kinds of Attrition Model; Predicting Who Will Leave; Predicting How Long Customers Will Stay; Beyond the Customer Lifecycle; Lessons Learned; Chapter 3 The Data Mining Process; What Can Go Wrong?; Learning Things That Aren't True; Patterns May Not Represent Any Underlying Rule; The Model Set May Not Reflect the Relevant Population Data May Be at the Wrong Level of Detail |
Record Nr. | UNINA-9910823349203321 |
Linoff Gordon S | ||
Indianapolis, Ind., : Wiley Pub., Inc., 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Defining your market : winning strategies for high-tech, industrial, and service firms / Art Weinstein |
Autore | Weinstein, Art |
Pubbl/distr/stampa | New YorkLondon : The Haworth Press, c1998 |
Descrizione fisica | XVI, 180 p. ; 23 cm |
Disciplina | 658.802 |
Soggetto topico |
Mercati - Segmentazione
Marketing Aziende ad alta tecnologia - Marketing |
ISBN | 0789002515 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991002365419707536 |
Weinstein, Art | ||
New YorkLondon : The Haworth Press, c1998 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Effective advertising strategies for your business / / Cong Li |
Autore | Li Cong |
Edizione | [First edition.] |
Pubbl/distr/stampa | New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2014 |
Descrizione fisica | 1 online resource (134 p.) |
Disciplina | 658.802 |
Collana | Marketing strategy collection |
Soggetto topico |
Target marketing
Advertising |
Soggetto genere / forma | Electronic books. |
Soggetto non controllato |
advertising strategy
customization individualization personalization standardization targeting |
ISBN | 1-60649-869-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. How does advertising function in general? -- 2. What are the three advertising strategies? -- 3. How does standardized advertising strategy work? -- 4. How does targeted advertising strategy work? -- 5. How does individualized advertising strategy work? -- 6. How to gather consumer insights for advertising -- 7. How to incorporate consumer insights into advertising -- 8. How to integrate different advertising strategies together -- Notes -- References -- Index. |
Record Nr. | UNINA-9910458571403321 |
Li Cong | ||
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Effective advertising strategies for your business / / Cong Li |
Autore | Li Cong |
Edizione | [First edition.] |
Pubbl/distr/stampa | New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2014 |
Descrizione fisica | 1 online resource (134 p.) |
Disciplina | 658.802 |
Collana | Marketing strategy collection |
Soggetto topico |
Target marketing
Advertising |
Soggetto non controllato |
advertising strategy
customization individualization personalization standardization targeting |
ISBN | 1-60649-869-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. How does advertising function in general? -- 2. What are the three advertising strategies? -- 3. How does standardized advertising strategy work? -- 4. How does targeted advertising strategy work? -- 5. How does individualized advertising strategy work? -- 6. How to gather consumer insights for advertising -- 7. How to incorporate consumer insights into advertising -- 8. How to integrate different advertising strategies together -- Notes -- References -- Index. |
Record Nr. | UNINA-9910791179503321 |
Li Cong | ||
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|