© MYCOM OSI Confidential
Mounir Ladki, President and CTOMYCOM OSI
Oliver Rosenberg, Group Lead PerformanceManagement NT Operations PlanningTelefónica Germany
Moving TowardsAnalytics-SupportedNetwork Automation
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Company Overview
• Leading independent provider of Assurance, Automationand Analytics software & solutions for managing networkinfrastructure and improving customer experiences
• Deep telecoms expertise serving the world’s largestCommunications Services Providers
• Integrates network, service and customer assurance data tosupport key initiatives and use cases, such as:
– reducing churn, improving quality of service, monetizinginfrastructure and reducing costs
• Headquartered in London, UK with 250+ employeesworldwide
2016 Innovations in Big Data& Analytics
#1 in Unified NetworkPerformance Management #1 Customer Experience
Enabling Solution
2015 Product Line StrategyLeadership Award
2015 Network ManagementExcellence
2016 Outstanding Contributionto Enabling ImprovedCustomer Centricity
2016 Innovative ProjectAward
70+Customers Worldwide
8 out of 10Largest Global CSP
Groups
#1 RankedBy Industry Analysts
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Digital Service Environment-Challenges
• Business and customerawareness
• Extensive automation &self orchestration ofhybrid networks
• Network as a service forindustry verticals(energy, automotive,healthcare…)
• High network availabilityand reliability for IoTmanaged services
,Network and business metrics in silos
Big Data is not actionable insight
Data analysis not structured
Investments not based on predictions
,Delayed resolution
Increasing errors and faults
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Analytics-Driven Automation ARCHITECTURE
Policy Managem
entand O
rchestrationPolicy M
anagement
and Orchestration
Automation
(Open and Closed Loop)Autom
ation(Open and Closed Loop)
NetworkTeams
NetworkTeams
NetworkSystemsNetworkSystems
Marketing
Network Planning andService Design
AnalyticsAnalytics
Service Assurance
Business Policies Use CasesUsers
Business Driven
Personalized Offers
Business Driven
Network Optimization
Customer Experience
VIP and MVNO priorities
Real-TimeOperations
TechnicalPlanning
BusinessPlanning
• Capex efficiency through pre-integrated network, service,customer analytics
• Agile service launch usingorchestration across hybrid NFVnetworks
• Multi-team efficiency fromcollaborative platform fortechnical, marketing and careteams
• Customer insights and networkmonetization with predictiveanalytics
• Increased employee productivityby closed- loop automation
• Cloud-based, scalable, secure,network-independent platform
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Architecture for Analytics
Big Data Cluster
Network KPI Application KPI Subscriber KPI Handset KPI
Visualization & Multi-dimensional Analysis
Analytics System
Assurance SystemsPM
FM
SQM
Billing
Marketing
Trouble Tickets
Profiling Correlation Forecasting
Data Discovery and Filtering
Assurance BridgeAssurance Bridge Big Data BridgeBig Data Bridge
Speed and ScaleData discoveryEvery 15 m/1 h
Data Processing speed>150 billion import datarecords/h
Volume of processed data1.2 terabytes per hour
Correlation performance~300 analyticscorrelations/bh
ProbesCM
DistributionProbabilistic and
Cumulative Distributionfor behavior of network
or network elements
ProfilingIdentifies intersections
(same behavioralcriteria) betweennetwork elements
CorrelationPearson’s CorrelationCoefficient to analyze
linear correlationbetween driver variableand candidate variables
in a network area
ForecastingLinear projections frompast to future periods.For entire network or
specific areas
4 Pillars of Structured AnalyticsAnalytics System Architecture
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Customer CareValue: customer-centric, device-centric and collaborative
Benefit: ~ $ 10* million/year
Use Case: VIP/SLA monitoring, customer experiencescoring, troubleshooting, proactive messaging
Marketing/Business ServicesValue: Customer-centric, service monetization, device/OTTanalytics and collaborative
Benefit: ~ $ 10.3* million/year
Use case: Personalized services, device/apps experience,new service launches
Analytics-Driven Automation Users
Network PlanningValue: Network monetization, proactive/predictiveinvestments and collaborativeBenefit: ~ $ 16.5* million/yearUse Case: Customer-centric investments, capacitytracking, data/device usage tracking
Operations (NOC/SOC)Value: Pre-integrated, automated, employeeproductivity and collaborativeBenefit: ~ $ 9.5* million/yearUse case: Predictive faults, proactive resolution,congestion relief, data/device usage
*Figures have been based on Gartner calculationsof typical large network use case benefits
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Network Monetization
How long is itexpected to last?
What is theprofile
(preferences,devices, etc.) ofmy customers in
this area
Pushpersonalized
content to thecustomers at a
promotional rate
Monitor QoS,QoE, traffic,
capacity . Tune &adjust
Where do I haveexcess capacityin my network?(free spot map)
Automate
Analytics
Analytics
Analytics
Automate
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• Predict trends of new mobile/ IoTdevices
• Identify high traffic generatingmobile devices and IoT networks
• Reduce devices that generateabnormal traffic posing security andcongestion risks
• Visualize popular devices in real-time• Bundle tariff plans and devices based
on trends and usage
Mobile and IoT device analytics
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QoS Orchestration in NFV
Continuous analytics/datastreams from physical andvirtualized networks
VNF Manager
Orchestrator
VirtualInfrastructure
Manager
NFV MANO
EMSs
VNFs
NFVi
OSS
Detect policy violationidentifying probable causes
Trigger OSS and MANOlayers for orchestrationand correction
Execution of feedbackfrom physical andvirtualized network
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Telefonica’s Architecture and EcosystemTelefonica and MYCOM OSI
• Integration points betweenPM/Analytics and externalSystems
• Information schedules anddistribution between systems
• Supported business processes• Notifications to third parties• Data On-demand
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• Intelligent RAN Expansions,optimization, maintenance andplanning– Combine network congestion
and subscriber value densitymetrics
– Isolate top network/value sites– Prioritize capacity expansions– Explore and verify suitable
expansion option
Big Data Integration with Network Data
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Telefonica’s Value-based Capacity Planning
• Develop cell cluster profiles (cells withsimilar network/device/customercharacteristics)
• Forecast and prioritize capacity upgradesusing geo-location, ARPU, subscriber density,handset mix and OTT data
• Optimize capex planning• Telefonica is now thinking of automating
forecasting and capacity planning forweekly/monthly actions.
Data Sources: PM, CRM, Billing, Probes
User: Radio Access Planning EngineerAutomatable Process
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Network Centric approach Customer & Value Centric resolution
Re-prioritize
• Correlate PM KPIs with location data,subscriber density, technology andservice type
• Prioritize optimization and rolloutactions (capacity increase, traffic re-routing, re-configuration etc.) based onCongestion Score
• Tactical optimization and rolloutprioritization for future marketingstrategies (e.g. Apple device launch)
• Telefonica will use the above info toautomate optimization and rolloutactions
Telefonica’s Congestion Optimization
Data Sources: PM, CRM, Billing, ProbesUser: SOC Operator, Service Manager, Business Demand ManagerAutomatable Process
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Telefonica’s Usage-Driven Optimization• Analyze customer behavior/patterns• Develop optimization schemes to follow customer
patterns (eg a 4G user can be forced to 4G cell torelieve a congested 3G cell)
• The EMS parameter(3G to 4G) can be configured inreal-time using automation (eg via a SON system)
Handoffoptimization
through forcedattachment to 4G
sites
Data Sources: PM, CM, CRM, Billing, Probes
User: Radio Optimization Engineer, Radio Parameter Planning EngineerAutomatable Process
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• Big Data and Network Monetization– Strategic investments based on real network/customer demands– Monetize Big Data and Network Infrastructure on weekly/monthly
basis
• Opex Efficiency– Capacity analysis reduced from weeks to near
real-time– Reduced MTTR– Manpower savings– Solve QoS problems in hybrid NFV networks through real-time
policies and closed-loop automation
• Agile Service Upsells– Location based insights to create new services– Introduce contextual services/products faster– Personalized marketing
Relate CustomerBehavior to
NetworkUtilization
Single Point ofPlanning andOperationsDecisions
Rapid Valuebased Problem
Resolution
Predict CustomerBehavior
Forecast NetworkProblems
SmarterProactive
Investments
Analytics-Driven Automation: Summary
CONFIDENTIAL INFORMATION, RESTRICTED TO MYCOM OSI© MYCOM OSIThis document contains forward-looking statements based on current expectations, forecasts and assumptions of the Company that involve risks anduncertainties. Forward-looking statements are subject to risks and uncertainties associated with the Company's business that could cause actual results tovary materially from those stated or implied by such forward-looking statements.
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