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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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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
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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)
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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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+Aggregation Framework
+MapReduce Framework
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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
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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
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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...
