Data monetisation

Table des figures

Tables
Table 1: Main potential uses of big data by vertical players, by type of activity
Table 2: Key options for data monetisation
Table 3: Summary view of major opportunities for the four verticals
Table 4: Opportunities for verticals around data monetisation
Table 5: Key options for data monetisation for telcos
Table 6: Key options for data monetisation
Table 7: Examples of data available to social network platforms
Table 8: Key options for data monetisation in social network
Table 9: Key options for data monetisation in social network
Table 10: Car-sharing services by different players

Figures
Figure 1: Variety of data sources
Figure 2: Type of data used by big data users
Figure 3: Key application areas of big data projects
Figure 4: Key use cases for big data
Figure 5: Global text analytics market: segmentation and forecast, 2013-2020
Figure 6: Big data value chain
Figure 7: Big data landscape
Figure 8: Worldwide big data revenue forecasts, 2011-2020
Figure 9: State of big data investments
Figure 10: State of big data investments
Figure 11: Main challenges with big data
Figure 12: Data characteristics per vertical
Figure 13: Adoption of big data per vertical
Figure 14: Respective positioning of verticals regarding data monetisation
Figure 15: Types of data collected by telcos
Figure 16: Highly valued data types to telcos
Figure 17: « How we use your information » – privacy policy of O2
Figure 18: « How we share your information » – privacy policy of O2
Figure 19: O2 ‘Bolt Ons’ allow for additional sales on top of standard tariffs
Figure 20: Open carrier-billing API by Orange
Figure 21: Direct-to-bill on Facebook: some operators offer easy two-step process
Figure 22: Orange Datavenue platform
Figure 23: Swisscom Mobile ID service
Figure 24: The business cycle of cross-screen ads of AT&T AdWorks
Figure 25: How PrecisionID works
Figure 26: Verizon statement on user opt-out from advertising
Figure 27: i-concier service by NTT DOCOMO
Figure 28: Screenshot of a Smart Steps insight result
Figure 29: AT&T M2X for M2M applications
Figure 30: Fitbit Surge allowing heart rate and sleep monitoring
Figure 31: IntelliVue Cableless/wearable patient monitor by Philips
Figure 32: Different sensors on the human body
Figure 33: Type of data collected at Fitbit
Figure 34: Use of personal data at Fitbit
Figure 35: Exception of the share of identifiable data at Fitbit
Figure 36: The priority of disease treatment by personalised medicine, in two years
Figure 37: Technology enabler for data-driven personalised medicine
Figure 38: Validic data integration platform (clinical, fitness and wellness)
Figure 39: Incentive points gained on Walgreens Balance Reward app to Fitbit users
Figure 40: Philips Lifeline portfolio
Figure 41: Pricing of Philips Lifeline
Figure 42: Data resale business model
Figure 43: Benefits and rewards
Figure 44: Vitality Status levels linked with different saving rates
Figure 45: Withings Pulse
Figure 46: ELSIE genome queries for different diseases, conditions and therapeutic agents
Figure 47: Fitbit API Terms of Service regarding license
Figure 48: Type of information that Facebook collects
Figure 49: How is data being used and shared in Facebook?
Figure 50: With whom Facebook selects to share user data
Figure 51: How users select who shares their data
Figure 52: Range of confidence in different players in terms of data privacy and security
Figure 53: Users’ conditions for sharing data
Figure 54: Demographics for audience targeting
Figure 55: Facebook advertising revenues (2009 – 2015)
Figure 56: Facebook promotion of Skyscanner
Figure 57: Blue Jay for law enforcement
Figure 58: Social data analytics market
Figure 59: How General Motors uses the automobile data
Figure 60: How automobile data is shared
Figure 61: Commitments on data control
Figure 62: Preferred parties for connected-car data sharing
Figure 63: OnStar connected-car services
Figure 64: OnStar value proposition
Figure 65: Cooperative ITS Corridor – joint development by the Netherlands, Germany and Austria
Figure 66: Surge pricing with Uber
Figure 67: Uber shares user data with Starwood Hotels & Resorts
Figure 68: Usage-based insurance solutions by Vodafone and Cobra
Figure 69 Skypatrol Defender vehicle financing solution