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 jobsHigher traffic, notifications

Operator cannot control the full chain

Partnerships

New standards for communication

Openness, security & quality

New services, newselling models

Relations & settlements

M2M connectivity product must be more than justSIM 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

ManagmentVertical 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