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Data Monetization Market - Opportunities beyond OTT

Big Market Research presents a report on "Data Monetization Market - Opportunities beyond OTT: finance, retail, telecom and connected objects" Read The Full Report On : http://www.bigmarketresearch.com/data-monetization-opportunities-beyond-ott-finance-retail-telecom-and-connected-objects-market This report presents data monetisation options for selected verticals, beyond traditional development in pure online markets.

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Data Monetization Market - Opportunities beyond OTT

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  1. Data monetization - Opportunities beyond OTT: finance, retail, telecom and connected objects

  2. 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.bigmarketresearch.com/data-monetization-opportunities-beyond-ott-finance-retail-telecom-and-connected-objects-market

  3. List of players reviewed Amazon Apple Axa Barclays Cardlytics Citibank Discovery emozia Facebook Google Intersec Intuit JP Morgan Chase Macy’s MasterCard To Get More Details Enquire @ http://www.bigmarketresearch.com/report-enquiry/178533

  4. 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

  5. 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

  6. 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

  7. 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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