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Expansion of Connectivity Management into the New World:
Billing of Everything & IoT Quality of Service
Wojciech Martyniak
M2M/IoT Product Manager
Connectivity Management Dealing With New Challenges
Billions of objects
talk to each other
Higher number of entities
Things inform on
their status and
actual jobs
Higher traffic, notifications
Operator cannot
control the full chain
Partnerships
New standards for
communication
Openness, security &
quality
New services, new
selling models
Relations & settlements
 M2M connectivity product must be more than just
SIM cards, sold in a new way
 Some verticals require better quality of service
 E.g. Healthcare or Utilities
 QoS means different things in different verticals
 QoS in M2M cannot be guaranteed
 PCRF wont help to guarantee
high quality of connectivity service
 Services may require immediate reaction
 E.g. connectivity problems in Healthcare
 Customers are looking for new pricing models
 Pay as you use
 Pay not-for-connectivity
So What Are Customers Looking For?
Connectivity Management Adopted to the New IoT World
How to complement Connectivity Management Platform?
Operational
Efficiency
Revenue
Protection
Revenue
Generation
Connectivity
Managment
Vertical Specific
Pricing Models
Network
QoS
Actionable
Analytics
Customer
Contract &SLA
 Device & App centric SLA monitoring
 Device & App centric alarming
QoS for IoT
 Network centric SLA monitoring
 Network centric alarming
 Reliable connectivity
 Actionable analytics
 Custom dashboards
 End to end SLA management
 Best quality assurance
Quality of Service for the IoT area
Network related
• Network availability
• Best Network
availability
• Call performance
• Network Coverage
Level
• Network Quality Level
• Data Service availability
• Start up time
• No Service/Limited
Service
Device related
• Model & Manufacturer
• Software version
• Capabilities
• Reboots per device
Complementary data feed directly from IoT
Device and/or eSIM/SIM/MIM
Dimensions:
• Timestamp
• Operator
• Location
• Device manufacturer &
model
• Device capabilities
• Device group/company
• MIM card ID (eID, IMSI,
ICCID)
Connectivity Management
QoS for IoT
Actionable Analytics
Partner Lifecycle Management
SLA Management
 Division of customers into different SLA groups
 Gold, Silver, Bronze, etc.
 Grouping influences pricing, monitoring, automatic prioritization (of Trouble Ticketing, Ordering, etc.)
 Different tariffs
 SLA Gold – separate channel for communication, separate users for resolving issues
 Monitoring KPIs, availability of functionalities, activation time, maximum time of unavailability of
the Platform
 KPI concerning customer service
 KPI concerning network
 KPI concerning technical service in event of error
 KPI concerning device, application
 Dashboards for analytics
End to End Process for SLA Management
 Billing on the levels of connectivity, devices
and applications
 Advanced new pricing models for IoT
service (Device Usage models)
 Various business models are supported
 B2C, B2B, B2B2C, B2B2B2C
 Multinationality (multi-currency, multi-country)
 Verticals/B2B partners requires well-defined,
personalized, innovative products
 IoT generates large amount of data from
different sources
 Real-time processing, monitoring, pricing
is a must for smart activities
Billing of Everything in the IoT world
 Observation: Why is this device in Australia?
Intuitive, Convergent Actionable Analytics Helps
 Observation: How devices move? How to optimize costs?
Intuitive, Convergent Actionable Analytics Helps
 Observation of QoS: Do all devices in the same cell have similar issues?
Intuitive, Convergent Actionable Analytics Helps
Real Case Studies
 Electricity company or photovoltaic company (static devices)
 Applet on SIM installed
 Reliable connectivity with KPIs measured:
 Data about meter (type, model, firmware)
 Reboot information (ie. how many reboots per day)
 Placement of the meter is bad (poor connectivity but energy consumptions is continuos)
 KPIs arising from connectivity (such as zero sessions, too long sessions)
 Erroneus behaviours - hundred of machines are running – but one is taking longer to connect
 Analytics showing KPIs and trends, device types, models, SLA type information
 Actions
 Notifications
 Alarms
 Pricing per kW, connectivity for free, possible billing on behalf
Smart Metering Vertical
 Big Automotive Manufacturer (dynamic devices)
 Applet on SIM, agent on device, eUICC
 Reliable connectivity with KPIs measured:
 Information about placement and mobility (also on remaining too long in one place)
 Wrong device used (wrong IMEI used)
 Access to wrong service attempted from car (voice not allowed)
 Battery power is low
 Device SW version changed without permission
 Geolocation beyond cell ID
 International benchmark – coverage quality, service time (i.e. quality of MNO1 is worse than MNO2)
 Analytics showing maps in paticular (placement, mobility)
 Actions
 Notifications
 Suspensions
 Blocking
 Pricing per km, connectivity for free, bundled pricing (insurance company)
Automotive Vertical
 Manufacturer of heart monitoring equipment (dynamic & static device)
 Applet on SIM, agent on device
 Real time measures:
 Quality of service
 Anomalies – device behaves other than expected (out of coverage and family has to be informed)
 Device reboot takes too long
 Battery life
 Analytics – KPI trends (too many reboots, too many lost connections)
 Actions
 Mail
 Sms
 Calls
 Alarms
 Pricing per feature or per SLA level
Healthcare Vertical
Summary
 Reliable connectivity
 New pricing and business models
 Enhanced network service quality and reduced risk of connectivity issues
 Real experience and performance measures at the point of connectivity,
device and application
 End to end SLA
 Actionable analytics
What to propose to customers?
Thank You

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Connectivity Management for IoT Quality of Service and Billing

  • 1. Expansion of Connectivity Management into the New World: Billing of Everything & IoT Quality of Service Wojciech Martyniak M2M/IoT Product Manager
  • 2. Connectivity Management Dealing With New Challenges Billions of objects talk to each other Higher number of entities Things inform on their status and actual jobs Higher traffic, notifications Operator cannot control the full chain Partnerships New standards for communication Openness, security & quality New services, new selling models Relations & settlements
  • 3.  M2M connectivity product must be more than just SIM cards, sold in a new way  Some verticals require better quality of service  E.g. Healthcare or Utilities  QoS means different things in different verticals  QoS in M2M cannot be guaranteed  PCRF wont help to guarantee high quality of connectivity service  Services may require immediate reaction  E.g. connectivity problems in Healthcare  Customers are looking for new pricing models  Pay as you use  Pay not-for-connectivity So What Are Customers Looking For?
  • 4. Connectivity Management Adopted to the New IoT World
  • 5. How to complement Connectivity Management Platform? Operational Efficiency Revenue Protection Revenue Generation Connectivity Managment Vertical Specific Pricing Models Network QoS Actionable Analytics Customer Contract &SLA  Device & App centric SLA monitoring  Device & App centric alarming QoS for IoT  Network centric SLA monitoring  Network centric alarming
  • 6.  Reliable connectivity  Actionable analytics  Custom dashboards  End to end SLA management  Best quality assurance Quality of Service for the IoT area Network related • Network availability • Best Network availability • Call performance • Network Coverage Level • Network Quality Level • Data Service availability • Start up time • No Service/Limited Service Device related • Model & Manufacturer • Software version • Capabilities • Reboots per device Complementary data feed directly from IoT Device and/or eSIM/SIM/MIM Dimensions: • Timestamp • Operator • Location • Device manufacturer & model • Device capabilities • Device group/company • MIM card ID (eID, IMSI, ICCID) Connectivity Management QoS for IoT Actionable Analytics Partner Lifecycle Management SLA Management
  • 7.  Division of customers into different SLA groups  Gold, Silver, Bronze, etc.  Grouping influences pricing, monitoring, automatic prioritization (of Trouble Ticketing, Ordering, etc.)  Different tariffs  SLA Gold – separate channel for communication, separate users for resolving issues  Monitoring KPIs, availability of functionalities, activation time, maximum time of unavailability of the Platform  KPI concerning customer service  KPI concerning network  KPI concerning technical service in event of error  KPI concerning device, application  Dashboards for analytics End to End Process for SLA Management
  • 8.  Billing on the levels of connectivity, devices and applications  Advanced new pricing models for IoT service (Device Usage models)  Various business models are supported  B2C, B2B, B2B2C, B2B2B2C  Multinationality (multi-currency, multi-country)  Verticals/B2B partners requires well-defined, personalized, innovative products  IoT generates large amount of data from different sources  Real-time processing, monitoring, pricing is a must for smart activities Billing of Everything in the IoT world
  • 9.  Observation: Why is this device in Australia? Intuitive, Convergent Actionable Analytics Helps
  • 10.  Observation: How devices move? How to optimize costs? Intuitive, Convergent Actionable Analytics Helps
  • 11.  Observation of QoS: Do all devices in the same cell have similar issues? Intuitive, Convergent Actionable Analytics Helps
  • 13.  Electricity company or photovoltaic company (static devices)  Applet on SIM installed  Reliable connectivity with KPIs measured:  Data about meter (type, model, firmware)  Reboot information (ie. how many reboots per day)  Placement of the meter is bad (poor connectivity but energy consumptions is continuos)  KPIs arising from connectivity (such as zero sessions, too long sessions)  Erroneus behaviours - hundred of machines are running – but one is taking longer to connect  Analytics showing KPIs and trends, device types, models, SLA type information  Actions  Notifications  Alarms  Pricing per kW, connectivity for free, possible billing on behalf Smart Metering Vertical
  • 14.  Big Automotive Manufacturer (dynamic devices)  Applet on SIM, agent on device, eUICC  Reliable connectivity with KPIs measured:  Information about placement and mobility (also on remaining too long in one place)  Wrong device used (wrong IMEI used)  Access to wrong service attempted from car (voice not allowed)  Battery power is low  Device SW version changed without permission  Geolocation beyond cell ID  International benchmark – coverage quality, service time (i.e. quality of MNO1 is worse than MNO2)  Analytics showing maps in paticular (placement, mobility)  Actions  Notifications  Suspensions  Blocking  Pricing per km, connectivity for free, bundled pricing (insurance company) Automotive Vertical
  • 15.  Manufacturer of heart monitoring equipment (dynamic & static device)  Applet on SIM, agent on device  Real time measures:  Quality of service  Anomalies – device behaves other than expected (out of coverage and family has to be informed)  Device reboot takes too long  Battery life  Analytics – KPI trends (too many reboots, too many lost connections)  Actions  Mail  Sms  Calls  Alarms  Pricing per feature or per SLA level Healthcare Vertical
  • 17.  Reliable connectivity  New pricing and business models  Enhanced network service quality and reduced risk of connectivity issues  Real experience and performance measures at the point of connectivity, device and application  End to end SLA  Actionable analytics What to propose to customers?