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Corporación 2020 : transformar los negocios para el mundo del mañana / / Pavan Sukhdev
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
Opac: Controlla la disponibilità qui
Corrugated slices : the social jalebi / / Shombit Sengupta
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
Opac: Controlla la disponibilità qui
Corrugated slices : the social jalebi / / Shombit Sengupta
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
Opac: Controlla la disponibilità qui
Corrugated slices : the social jalebi / / Shombit Sengupta
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
Opac: Controlla la disponibilità qui
Data mining techniques [[electronic resource] ] : for marketing, sales, and customer relationship management / / Gordon S. Linoff, Michael J.A. Berry
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
Opac: Controlla la disponibilità qui
Data mining techniques [[electronic resource] ] : for marketing, sales, and customer relationship management / / Gordon S. Linoff, Michael J.A. Berry
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
Opac: Controlla la disponibilità qui
Data mining techniques [[electronic resource] ] : for marketing, sales, and customer relationship management / / Gordon S. Linoff, Michael J.A. Berry
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
Opac: Controlla la disponibilità qui
Defining your market : winning strategies for high-tech, industrial, and service firms / Art Weinstein
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
Opac: Controlla la disponibilità qui
Effective advertising strategies for your business / / Cong Li
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
Opac: Controlla la disponibilità qui
Effective advertising strategies for your business / / Cong Li
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
Opac: Controlla la disponibilità qui