Data Monetization Market - Opportunities beyond OTT: finance, retail, telecom and connected objects

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Data monetization - Opportunities beyond OTT
finance, retail, telecom and connected objects
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Report Description

• This report presents data monetization options
  for selected verticals, beyond traditional
  development in pure online market. The first part
  of the report provides an overview of the big
  data market and its impacts in terms of data
  monetization opportunities open to all verticals.
• The second part presents current initiatives for
  data monetization around upsell and
  cross-selling, direct advertising/marketing,
  value-added services (servicisation),
  intermediation and data resale for four key
  verticals finance, retail, telecom and connected
  objects.
• The report provides an assessment of the major
  real opportunities in the selected verticals and
  their articulation with aggregators and platforms
  coming from the online world.
• Read The Complete Report On http//www.bigmarket
  research.com/data-monetization-opportunities-beyon
  d-ott-finance-retail-telecom-and-connected-objects
  -market

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List of players reviewed
Amazon Apple Axa Barclays Cardlytics Citibank Disc
overy emozia Facebook Google Intersec Intuit JP
Morgan Chase Macys MasterCard To Get More
Details Enquire _at_ http//www.bigmarketresearch.com
/report-enquiry/178533
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Key Segment

• Slideshow contents
• Data monetization options for verticals
• Big data a disruptive concept for data
  monetization
• Big data technologies and market structure
• Big data market size
• Opportunities for verticals
• Opportunities for verticals
• Differences between verticals
• Retail
• Finance
• Telecom
• Connected objects
• Outlook
• Major opportunities for the four verticals
• Battle with aggregators

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Table Of Content
1. Executive Summary 2. Methodology
definitions 3. Data monetization options for
verticals 3.1. Introduction to big data 3.1.1.
Market description 3.1.2. Market structure 3.1.3.
Market size 3.2. Opportunities for
verticals 3.2.1. Major opportunities of big data
for verticals 3.2.2. Data monetization and
verticals 3.2.3. Differences between
verticals 3.3. The battle with aggregators
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Table Of Content
4. Data monetization and finance 4.1. Type of
data gathered 4.2. Privacy policies 4.3. Main
opportunities 5. Data monetization and
retail 5.1. Type of data gathered in retail 5.2.
Privacy policies 5.3. Main opportunities 5.3.1.
Geo-fencing 5.3.2. Loyalty card programs and
customer insights 5.3.3. In-store tracking 5.3.4.
Tracking buying emotions
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Table Of Content
6. Data monetization and Telco 6.1. Type of data
gathered 6.2. Privacy policies 6.3. Main
opportunities 7. Data monetization and smart
products 7.1. Introduction 7.2. Types of data
collected 7.3. Privacy policies 7.4.
Opportunities 7.4.1. Development of new services
associated with products (servicisation) 7.4.2.
Insights and Aggregated data sales
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