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NIM Marketing Intelligence Review

Volume 8 (2016): Issue 2 (November 2016)

Marketing and Data Science

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9 Articoli
Accesso libero | 28 ott 2016
Editorial
Bernd Skiera
Bernd Skiera
  
Accesso libero | 28 ott 2016
Data, Data and Even More Data: Harvesting Insights From the Data Jungle
Bernd Skiera
Bernd Skiera
  
Accesso libero | 28 ott 2016
Marketing and Data Science: Together the Future is Ours
Pradeep Chintagunta
Pradeep Chintagunta
, 
Dominique M. Hanssens
Dominique M. Hanssens
 e 
John R. Hauser
John R. Hauser
  
Accesso libero | 28 ott 2016
On Storks and Babies: Correlation, Causality and Field Experiments
Anja Lambrecht
Anja Lambrecht
 e 
Catherine E. Tucker
Catherine E. Tucker
  
Accesso libero | 28 ott 2016
Tell Me Where You Are and I’ll Tell You What You Want: Using Location Data to Improve Marketing Decisions
Martin Spann
Martin Spann
, 
Dominik Molitor
Dominik Molitor
 e 
Stephan Daurer
Stephan Daurer
  
Accesso libero | 28 ott 2016
Using Big Data for Online Advertising Without Wastage: Wishful Dream, Nightmare or Reality?
Mark Grether
Mark Grether
  
Accesso libero | 28 ott 2016
The Art of Creating Attractive Consumer Experiences at the Right Time: Skills Marketers Will Need to Survive and Thrive
Katherine N. Lemon
Katherine N. Lemon
  
Accesso libero | 28 ott 2016
Data Analysis Trumps Specialist Advice: How Direct Banks Function
Bernd Skiera
Bernd Skiera
  
Accesso libero | 28 ott 2016
Big Data in Market Research: Why More Data Does Not Automatically Mean Better Information
Volker Bosch
Volker Bosch
  

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eISSN:
2628-166X
Lingua:
Inglese
Frequenza di pubblicazione:
2 volte all'anno
Argomenti della rivista:
Business and Economics, Political Economics, Public Finance and Fiscal Theory, Business Management, Marketing, Sales, Customer Relations, Management, Organization, Corporate Governance, other
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