Agenda
• Challenges• Voice vs Data• Infrastructure Commoditization • Big Data Scenarios
• MongoDB to the rescue
• Network Dashboard
• Self Organizing Network
• Product Catalog
• Conclusions
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
Challenges
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Voice vs Data
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Landline vs Mobile
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Commoditization
Voice vs Data vs Apps
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
http://m2m.gemalto.com/tl_files/m2m_exp/content/home-top-3.jpg
M2M
Big Data Telcos - Use Cases
• M2M– The Internet of Things
• Everything connected– Devices
• Ubiquitous – Sensors
• Billions of inputs – Network
• Analysis• SON ( Self Organizing Network)
http://m2m.gemalto.com/tl_files/m2m_exp/content/home-top-3.jpg
User Modeling
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
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
2 minute QAChallenges
MongoDB to the Rescue
1717
MongoDB - Operational Big DataMongoDB - Operational Big Data
Horizontally Scalable-Sharding
AgileFlexible
High PerformanceStrong Consistency
Application
HighlyAvailable-Replica Sets
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texttext: : “Spirited Away”“Spirited Away”,, tagstags: : [“Tezuka”, “Manga”]}[“Tezuka”, “Manga”]}
+Aggregation Framework
+MapReduce Framework
http://semanticommunity.info/@api/deki/files/13708/DashboardReportDashboard.png
Network Quality Dashboard
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
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
http://www.visualcomplexity.com/vc/images/20_big02.jpg
Self Organizing Network
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
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
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
http://www.saveatreeprinting.com/images/BookStack.png
Digital Catalog Management
Catalog Management
• Telco Catalogs can have very different products
– Mobile phones– Landline subscriptions – Mobile
• Pre-paid• Contract• Different tariffs
– Concert tickets, music albums, movies
Catalog Management
• MongoDB for:– Consistent and up to date view across all
customer channels– Flexible Schema– High Availability– Performance – Low TCO – Fast Development Iterations
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...
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