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Hyper-Distribution Solutions. www.djingle.com. Contact : : +33 (0)9 52 055 055 : info@djingle.fr. Djingle : Company profile. Djingle is an software company expert in Content Predictive Delivery technologies since 2002, awarded by 2 leading RnD public agencies:.
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Hyper-Distribution Solutions www.djingle.com Contact : : +33 (0)9 52 055 055 : info@djingle.fr
Djingle: Company profile • Djingle is an software company expert in Content Predictive Delivery technologies since 2002, awarded by 2 leading RnD public agencies: Best IT (Capital IT 2004) and Best'Innov (Capital IT 2006) Awarded by OSEO and French Ministry of Research • The Djingle Hyper-Distribution Platform allows to improve content delivery over IP: • Making Internet infrastructure infinitely scalable • Killing distribution costs (up to 90% savings on bandwidth costs and server loads) • Guaranteeing HD Video Quality • Increasing ARPU and users’ loyalty thanks to One-to-One Predictive Delivery • Our mission: • Helping media to face online video market boom • Helping Brands and corporates to enter eCRM 2.0 strategies developing video marketing
Main references Main clients Partners Djingle won prestigious Travolution Award 2008 for “Widget by Air France”. Etc.
Video over Internet: opportunities and challenges • Video consumption drives Internet traffic explosion: Video on Demand, Personal TV, P2P, UGC, sharing sites, etc. • 15/30-year old now spend more time on Internet than in front of their TV sets • Video will drive 90% of the global Internet traffic in 2012 BUT • Huge distribution costs Bandwidth costs + server loads: when users nb Limited infrastructures • No scalability • Video availability and quality NOT guaranteed (peaks) • Success penalty • Vincent Dureau, Head of TV technologies @ Google, Feb. 2007 • « No web infrastructure, even not Google's one, could face video revolution » • « Nobody will be able to provide the quality of service people will expect » • Julien Coulon, Senior Executive @ Akamaï, Nov 2008 • « The Internet won’t scale for video over IP »
Main value propositions Value proposition #1 Hyper-Distribution Reversing the success penalty • Bandwidth costs and server loads • Unlimited scalability • Guaranteed video quality (HD) and availability regardless to peaks 90% • Dynamic behavior-based One-to-One push • Boosting audienceat no cost ARPU • Increasing users’ loyalty • Improving users Database knowledge • Developing and dematerializing eCRM • One-to-OneAdvertising ARPU • Improving Quality of Experience (QoE): • Widgets, media players • New services (podcasting, desktop alerting, offline playback, dynamic EPGs, recommendation engine) • Demonstrating your innovation capacity, entering the Web 2.0 era Proposition de valeur #2 Predictive delivery The right content to the right user
Value proposition #1: Reversing the success penalty • Killingbandwidth costs: You only pay the bandwidth consumed from your server or CDN. • Each Peer providing its own resources does not cost a cent! • From 50 to more than 90% of bandwidth costs saved • Reducing server loads: Your server or CDN is freed and made available for ever more users. • Unlimiting scalability: • The more users you have, the more seeds are available to serve the content. The scalability is theoretically unlimited. • Making HD quality possible • Distribution under central control: • Delivery parameters monitored in real-time in order to improve distribution efficiency and insure availability • Peaks smoothing • Zapping time improved (canceled), No (re)buffering • Security (Double DRM approach)
Value proposition #2:Delivering the right content to the right user BUSINESS CASE:Tiscali Player • Views x14 in only 3 months • Videos penetration: 73% Impact of video on sales: +326% on bestbuy.com Src: Bestbuy.com, 2007 • Push = automatic distribution of contents to users upon their choices as well as a dynamic behavior-based analysis • Boosting audience at no costs • Developing sales and marketing • Improving users’ loyalty • Developing eCRM strategies • Initiating new usages: • Video Podcasting & Desktop Alerting • Offline playback • One-to-One recommendation engine • Enering C-to-C (Consumer to Consumer) and community strategies • One-to-One advertising