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From:
© M.Wedel & PK Kannan
A Critical Examination of
Marketing Analytics for Data-
Rich Environments
How the “big data” era started and its role in
firms in the future.
Michel Wedel & PK Kannan (2016)
From:
© M.Wedel & PK Kannan© M.Wedel & PK Kannan
The Era of Big Data
 Data is assuming an ever more central role in organizations
- Build and maintain customer relationships
- Personalize products, services and the marketing mix
- Automate marketing processes in real time
 Big data may have been over hyped, but now:
- Spawns data-driven decision culture in companies
- Provides them with competitive advantages
- Significantly impacts their financial performance
 Has caused new forms of marketing to emerge
- Recommendations, geo-fencing, search marketing, retargeting
 Urgent demand for analytics capabilities
- Not always clear which types of analytics work for which new problems and new data
Michel Wedel & PK Kannan (2016)
From:
© M.Wedel & PK Kannan© M.Wedel & PK Kannan
1900 202519501925 20001975
Social
Location
Search
VideoClick-stream
POS
Scanning
Scanner PanelTransaction
Diary
Panels
Eye TrackingSurvey
ANOVA,
Regression
Bayesian
Decision
Market Share Models
MDS Conjoint
MNL
Latent
Class
HB
Structural
ORModels
Data
Big Data Analytics:
A History of Data and Models
8
Digital data
Rich
Data
Michel Wedel & PK Kannan (2016)
From:
© M.Wedel & PK Kannan
From:
© M.Wedel & PK Kannan
Segmen
tation
Trend
Analytics
Personalization
Web
Analytics
Marketing Mix
Recommendations
Keyword
Search
Analytics
Re
Targeting
Social
Analytics
Structured
Internal
Unstructured
External
Competitive
Intelligence
Path to
Purchase
Behavioral
Profiling &
Targeting
Sentiment
Analytics
Attribution
Analytics
GPS &
Mobile
Analytics
Online
Review
Analytics
CRM
Analytics
Retail
Analytics
A/B
Testing
Diagnostic Breadth
Advertising
Analytics
Evolution of Data-Rich Marketing Applications
Michel Wedel and PK Kannan (2016)
From:
© M.Wedel & PK Kannan© M.Wedel & PK Kannan
Issues Impacting Data Rich Environments in
the Near Future
 Privacy and security concerns will limit collection/retention of data
- Focus on the development of analytics for anonymized and minimized data
- Proactive development of methods for protection of customer privacy
 For marketing analytics to have its full impact for big data
- Firms need to have a culture that recognizes the importance of data, analytics, and data-driven
decision making
- Have a governance structure that prevents silos and facilitates integrating data analytics into
overall strategy (Big Data CoE + multidisciplinary teams)
 Marketing analytics involves disparate domains
- The next generation of marketing analysts need to learn how to integrate these fields in order to
have sufficiently broad and deep knowledge
Michel Wedel & PK Kannan (2016)

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Marketing Analytics for Data-Rich Environments

  • 1. From: © M.Wedel & PK Kannan A Critical Examination of Marketing Analytics for Data- Rich Environments How the “big data” era started and its role in firms in the future. Michel Wedel & PK Kannan (2016)
  • 2. From: © M.Wedel & PK Kannan© M.Wedel & PK Kannan The Era of Big Data  Data is assuming an ever more central role in organizations - Build and maintain customer relationships - Personalize products, services and the marketing mix - Automate marketing processes in real time  Big data may have been over hyped, but now: - Spawns data-driven decision culture in companies - Provides them with competitive advantages - Significantly impacts their financial performance  Has caused new forms of marketing to emerge - Recommendations, geo-fencing, search marketing, retargeting  Urgent demand for analytics capabilities - Not always clear which types of analytics work for which new problems and new data Michel Wedel & PK Kannan (2016)
  • 3. From: © M.Wedel & PK Kannan© M.Wedel & PK Kannan 1900 202519501925 20001975 Social Location Search VideoClick-stream POS Scanning Scanner PanelTransaction Diary Panels Eye TrackingSurvey ANOVA, Regression Bayesian Decision Market Share Models MDS Conjoint MNL Latent Class HB Structural ORModels Data Big Data Analytics: A History of Data and Models 8 Digital data Rich Data Michel Wedel & PK Kannan (2016)
  • 4. From: © M.Wedel & PK Kannan From: © M.Wedel & PK Kannan Segmen tation Trend Analytics Personalization Web Analytics Marketing Mix Recommendations Keyword Search Analytics Re Targeting Social Analytics Structured Internal Unstructured External Competitive Intelligence Path to Purchase Behavioral Profiling & Targeting Sentiment Analytics Attribution Analytics GPS & Mobile Analytics Online Review Analytics CRM Analytics Retail Analytics A/B Testing Diagnostic Breadth Advertising Analytics Evolution of Data-Rich Marketing Applications Michel Wedel and PK Kannan (2016)
  • 5. From: © M.Wedel & PK Kannan© M.Wedel & PK Kannan Issues Impacting Data Rich Environments in the Near Future  Privacy and security concerns will limit collection/retention of data - Focus on the development of analytics for anonymized and minimized data - Proactive development of methods for protection of customer privacy  For marketing analytics to have its full impact for big data - Firms need to have a culture that recognizes the importance of data, analytics, and data-driven decision making - Have a governance structure that prevents silos and facilitates integrating data analytics into overall strategy (Big Data CoE + multidisciplinary teams)  Marketing analytics involves disparate domains - The next generation of marketing analysts need to learn how to integrate these fields in order to have sufficiently broad and deep knowledge Michel Wedel & PK Kannan (2016)

Notas do Editor

  1. MW
  2. MW
  3. PK