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

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/datamonetization-opportunities-beyond-ott-finance-retail-telecom-and-connectedobjects-market

List of players reviewed Amazon Apple Axa Barclays Cardlytics Citibank Discovery emozia Facebook Google Intersec Intuit JP Morgan Chase Macy’s MasterCard

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

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

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

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

Contact Us Deep Joshi 5933 NE Win Sivers Drive, #205, Portland, OR 97220 United States Direct :+1 (617) 674-4143 Toll Free : +1 (855) 711-1555 Fax : +1 (855) 550-5975 Email: [email protected] Web: http://www.bigmarketresearch.com

Data monetization - Opportunities beyond OTT finance, retail ...

Data monetization - Opportunities beyond OTT finance, retail, telecom and connected objects.pdf. Data monetization - Opportunities beyond OTT finance, retail, ...
Download PDF
987KB Sizes 2 Downloads 141 Views
Report

Recommend Documents

App Monetization
Guaranteed revenue for every download means less stress over conversion rates and impressions . •. Setting a budget for marketing your app is often straightforward . Assuming you only have one paid app to promote, if your app costs $0 .99, and the
Evaluating Retail Recommender Systems via Retrospective Data ...
tion, Model Selection & Comparison, Business Applications,. Lessons Learnt ...... and Data Mining, Lecture Notes in Computer Science 3918 Springer,. 2006, pp.
Retail Access Data Form.pdf
Sign in. Page. 1. /. 3. Loading… ... Professional. Anti-underage. “We Card”. Other ... Are alcohol ads or signs located three feet above the floor or below? YES NO.
Retail Access Data Form.pdf
Retrying... Retail Access Data Form.pdf. Retail Access Data Form.pdf. Open. Extract. Open with. Sign In. Main menu. Displaying Retail Access Data Form.pdf.
Read PDF Multinational Finance: Evaluating Opportunities, Costs, and ...
Opportunities, Costs, and Risks of Operations ,kindle lese app Multinational ... ,create epub online Multinational Finance: Evaluating Opportunities, Costs, and ...
Retail POS + Data Sheet.pdf
Retail POS + Data Sheet.pdf. Retail POS + Data Sheet.pdf. Open. Extract. Open with. Sign In. Main menu. Displaying Retail POS + Data Sheet.pdf.
code_CR5000-Retail-Data-Sheet.pdf
There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item.
Mobirix's secret to success: Hybrid Monetization - PDFKUL.COM
Based on AdMob's recommendation, they decided to implement a hybrid monetization model, using a combination of in-app ads and in-app purchases together to maximize revenue. That way, Mobirix would be meeting Rainfallsoft in the middle, using in-app a
App Monetization Made Easy
“Touch the Numbers” touches millions. App developers know only too well the challenges of gaining traction in the crowded apps marketplace. Just ask Noriaki Kamata, CEO, and Keisuke. Miyanaga, sales planning director, of Tekunodo, Inc. Their game
Data Initiatives in Africa-Opportunities and Challenges.pdf ...
Data Initiatives in Africa-Opportunities and Challenges.pdf. Data Initiatives in Africa-Opportunities and Challenges.pdf. Open. Extract. Open with. Sign In.
ePub Beyond Greed and Fear Understanding Behavioral Finance and ...
Behavioral Finance and the Psychology of. Investing (Financial Management Association. Survey and ..... Publisher : Oxford University Press, U.S.A.. 2007-05- ...
Sales and Price Spikes in Retail Scanner Data
Nov 30, 2010 - Using this filter, I show that price spikes are much smaller and less frequent .... M. Kilts Center, Chicago Graduate School of Business. The data ...
Mobirix's secret to success: Hybrid Monetization
Young, CEO of Rainfallsoft, didn't want to show in-app ads because he believed that ads would disrupt the user experience. Mobirix understood that it was ...
Data-driven innovation in the Retail Industry.pdf
Page 2 of 15. 2. Author(s) Rosanna Lifonti, Alis Woodward, Giorgio Micheletti, Gabriella. Cattaneo, (IDC). Deliverable D 3.1 Quarterly Stories – Story 1.
Building a Data Warehouse for a Retail Chain
information that can improve business performance such as increasing .... and Windows Installer. The Data .... Figure 3: Network Architecture of Data Warehouse System. [15] ... consisted of four stages namely, unit testing, integration testing,.