Webinar: How Telcos Use MongoDB


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With consumers and businesses spending ever more time connected to the Internet, telecoms can expect growing demand for their services. But demand doesn’t always translate to profit, as competition, commoditization, operational complexity, and network investment costs threaten to turn telecommunications providers into low-margin “dumb pipes." To compete, telecoms need to develop new services, rapidly, before their competitive advantage is neutralised. In this webinar, you will learn how operators are increasingly leveraging MongoDB to develop new applications quickly and secure new revenue streams.

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Webinar: How Telcos Use MongoDB

  1. 1. #mongo&telco Edouard Servan-Schreiber, Ph.D. Director of Solution Architecture 10gen edouard@10gen.com
  2. 2. Agenda• Challenges• Voice vs Data• Infrastructure Commoditization• Big Data Scenarios• MongoDB to the rescue• Network Dashboard• Self Organizing Network• Product Catalog• Conclusions
  3. 3. Couple of notes• For each main section– 2 minute at the end for QA– Short recap at the end of each QA block• If some questions are not addressed please forward them offline
  4. 4. Challenges
  5. 5. Voice vs Data http://im.ft-static.com/content/images/be9bda8a-fb70-11e1- b5d0-00144feabdc0.img
  6. 6. Landline vs Mobile http://im.ft-static.com/content/images/be9bda8a-fb70-11e1- b5d0-00144feabdc0.img
  7. 7. Commoditization http://hometoys.com/ezine/08.10/wang/index_clip_image002.gif
  8. 8. Voice vs Data vs Apps
  9. 9. Churn• 1.5% - 6% of customers leave every MONTH!• This means your entire customer base can wither in less than 2 years if you are not careful
  10. 10. M2M http://m2m.gemalto.com/tl_files/m2m_exp/content/home-top-3.jpg
  11. 11. Big Data Telcos - Use Cases• M2M – The Internet of Things • Everything connected – Devices • Ubiquitous – Sensors • Billions of inputs – Network • Analysis • SON ( Self Organizing Network)
  12. 12. User Modeling http://m2m.gemalto.com/tl_files/m2m_exp/content/home-top-3.jpg
  13. 13. Big Data Telcos - Use Cases• User Modeling – Millions of customers – Personalization • Products • Services – Cross selling • Same customer across services – Knowing your customers • Preferences / Permissions / Profile • Sentiment Analysis
  14. 14. Big Data Telcos - Use Cases• Catalog Management – Several hundreds of options – Different tastes – Marketing campaigns• Geo Reference Services – Mobility companion – Mobile Life – Real time offerings – Advanced services – Distribution management
  15. 15. 2 minute QAChallenges
  16. 16. MongoDB to theRescue
  17. 17. MongoDB - Operational Big Data Application Agile Flexible { author: “roger”,High Performance Highly date: new Date(), text: “Spirited Away”,Strong Consistency Available tags: [“Tezuka”, “Manga”]} -Replica Sets +Aggregation Framework Horizontally Scalable +MapReduce -Sharding Framework 17
  18. 18. Network Quality Dashboard http://semanticommunity.info/@api/deki/files/13708/DashboardReportDashboard.png
  19. 19. Network Quality Dashboard• MongoDB is Used To Store Captured Events – ADSL Landlines • Capture SNMP Traps from ADSL switch • Metrics on several KPI – Event handler stores the data • Very unstructured data • High variability – Different devices – Different metrics – Different thresholds
  20. 20. Network Quality Dashboard• MongoDB Performance – Allows realtime aggregation to plot dashboards – Customer Care can have immediate access to failure • Before the customer even notices problems • Preemptive support• Tech Department Dashboard – Allows to identify regional outages • Geo Spacial Data – Allows Faster Maintenance • Mobile services for field technicians
  21. 21. Self Organizing Network http://www.visualcomplexity.com/vc/images/20_big02.jpg
  22. 22. Self Organizing Network• Overload of Mobile Cell Towers – High call drop rate – Bad Mobile Connectivity – Sad Users• Intelligent Distribution of Load – Better Usage – Better Connectivity – Happy Users
  23. 23. Self Organizing Network• Needs to access regional tower data – To calculate local unbalanced towers – To avoid performing queries on non-relevant data• Overview Dashboards – Aggregate data based on regional sensor data – Thresholds and alerts – Overall network overview – Overlapping zones calculation
  24. 24. Self Organizing Network• MongoDB Allows – Distributed Data Across Network – Geo Localized Queries – Aggregate Data Based on Metrics – Fast Access to Data for Load Balance Calculation – Direct Integration with Software – Horizontal Growth for Future versions using more metrics – Identifying impact at customer level and engaging valuable customers to mitigate high value churn
  25. 25. Digital Catalog Management http://www.saveatreeprinting.com/images/BookStack.png
  26. 26. Catalog Management• Telco Catalogs can have very different products – Mobile phones – Landline subscriptions – Mobile • Pre-paid • Contract • Different tariffs – Concert tickets, music albums, movies
  27. 27. Catalog Management• MongoDB for: – Consistent and up to date view across all customer channels – Flexible Schema – High Availability – Performance – Low TCO – Fast Development Iterations
  28. 28. Conclusions• Telco is the ultimate Big Data customer• Success depends on agility and capacity to adapt as fast as the market• MongoDB enables Telco to benefit from Operational Big Data – Real Time Network Dashboard – Self Organizing Network and Customer satisfaction – Multi-Channel Product Catalog – and new ones everyday...