User and Iot
Data Analytics
Empowered by Ericsson User Data Consolidation (UDC)
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 2
› Market trends
› Opportunities
› Ericsson solution
› Benefits
› Extended view
› Values from insights
› Use cases
› Conclusion
content
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 2
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 3
Source: Ericsson Mobility Report, Nov 2015
Connected Devices
in 2021
28 BILLION
15 billionINDUSTRY and CONSUMER M2M / IoT DEVICES
13 billionMOBILE PHONES, PC’S, LAPTOPS, TABLETS
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 3
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 4
new demands from IoT
IoT
Consumer IoT devices
(Cellular and non-Cellular)
Industries IoT devices
(Cellular and non-Cellular)
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 4
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 5
Leverage on the data asset
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 5
User
Cellular and non-Cellular communication
Consumer IoT Industry IoT
+ +Leverage
existing
subscriber
data asset
Identification SecurityAuthentication Services
~12.5B*~5.5B*~10B*
* Estimated numbers for 2021. Source: Ericsson Mobility Report November 2015
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 6
Launching Ericsson
User and IoT Data Analytics
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 6
User and IoT
subscriber
database
Other data
sources
Contributing to:
UDC
Operational
efficiency
User
experience
Vertical
opportunities
Extract
insights
Create
Value
Analyze
UDC embedded analytics
Unlock
data
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 7
User and IOT data analytics
solution characteristics
Analyze Expose
ReportView
Data management
embedded analytics
Real-time
Massive data
analysis
Database
performance
› FAST to deploy
› FLEXIBLE to customize
› QUICK to scale
› SIMPLE to integrate
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 7
Consolidate - Analyze - Expose
Protecting
users privacy
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 8
Ericsson subscriber data
management solution
Empowering the Internet of Things value chain
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 8
Real-time
analytics on
data
Controlled
access and
exposure of
data
Service access
for users and
IoT devices
Data consolidation Data monetization Data security
New New
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 9
New Values from Insights
User
experience
Vertical
opportunities
Personal management
of connected devices
Monetize insights
towards the industry
Operational
efficiency
Internal efficiency on
IOT and User data
management
Analytics use cases
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 9
IOT Cross DB
consistency
Plan-to-
provision
Smart
alarm
KPI
monitoring
Roaming
analytics
Roaming
analytics
Connected
house
Connected
bicycle
Connected smart
billboard
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 10
Ericsson and Swisscom working together to improve network and
operational efficiency based on subscriber data analytics.
CHALLENGE
› How to secure network performance
while extracting insights from
subscriber database in real time.
› Be prepared for the unknown.
Different stakeholders requesting
different answers - and they need
fast answers
SOLUTION
Ericsson User Data
Consolidation (UDC)
Empowered with embedded
Data Analytics functionality
GOALS TO SWISSCOM
› Efficiency and speed
› Answer to stakeholders
needs quickly
› Securely pave the way
towards Big Data
In collaboration with:
Use case examples
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 11
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 12
Iot cross DB Consistency
Ericsson
Subscriber
database
BSS/OSS
System
› Reduce revenue leakage
› Reduce cost by removing device data from core
network, in case these devices were deleted in
CRM OSS/BSS systems
› Reduce complaints from customers, due to data
inconsistency
Operator
Automating the
process to
ensure that all
connected
devices are
properly served
and paid for
Operational efficiency
DB
Consistency
Efficiency Customer Vertical
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 12
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 13
Plan-to-Provision IOT
Ericsson
Centralized
Database
Analyze
Expose
Fresh
database
360o view of data
› Be ready for massive roll-out of IoT devices with
different characteristics
› Agile management of devices (e.g. active,
deactivate, reconfigure)
› Optimize provisioning data for each device type
› Export only relevant data and attributes (no “noise”
data)
Operator
Bulk provision
Managing mass IoT
devices more efficiently
Be able to add, remove
and change device
configurations centrally
Operational efficiency
Examples
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 13
Efficiency Customer Vertical
› Optimize services quality settings on device basis
› De-provision inactive devices (upon certain
conditions)
› Move massive number of devices to new access
types or service (e.g. 3G to 4G and later 5G)
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 14
Facilitating devices monitoring and
KPI measurements
E.g. Imagine an enterprise or company that
wants to measure the effectiveness of a
marketing campaign immediately on daily
basis.
ATTACHED NOW
NOT ATTACHED
THIS WEEK
ATTACHED
YESTERDAY
ATTACHED NOW
ATTACHED LAST
MONDAY
ATTACHED NOW
AnalyzeExpose
› Know if a device moved location
› Status monitoring
› Check video streaming quality from cameras
› Data consumption from different device types
Examples
Kpi reporting
Efficiency Customer Vertical
Vertical opportunities
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 14
Ericsson
Centralized
Database
› Effective tool to measure existing KPIs
› Agility to implement new KPIs
› Enable forecasting of services planning
› Predicting how network changes may
affect the KPIs
› Reduce trouble shooting time
Devices monitoring
Operator and Verticals
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 15
Connected bicycle
User experience and Vertical opportunities
› Device monitoring (e.g. find my bike)
› Control from distance (e.g. lock/unlock)
Consumer
Smart bike
Ericsson
Centralized
Database
External
databases
User and
device data
Analyze Expose
User and IoT
data analytics
› Target offerings to owners of high-end
bikes (e.g. racing bikes or mountains bikes)
› Potential fraud/theft detection and control (e.g.
bike moving in a different location than its owner,
notify owner, lock, locate)
Vertical - Insurance company
› Bike rental history (who rented it, when)
› Planning and maintenance (insights and
reporting on bike service usage and bikes’
connectivity )
› Locate available bikes (service to consumers)
Vertical - Community bicycles
Insurance
City bikes
Efficiency Customer Vertical
Empowering Operators to provide
more value in the IoT chain
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 15
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 16
Smart alarm
› Easy procedure to connect IoT personal
device to the network and manage it
(download applications, manage status)
› Maximize sleeping time and wake up
quality making the alarm intelligent
Consumer
› Create Personal IoT devices ecosystem
around customers
› Connect new category of SIM/non-SIM
devices to the network
› Offer new IoT Consumer applications
playing a role of service provider in the
IoT value chain
Operator
City
+
Smart alarm
1. Connect device
and activate “Smart
alarm” application
2. Retrieve data about
traffic, weather
conditions, city events
Improving quality of life
E.g. Imagine an alarm that
every morning adjust its
time according to prediction
of traffic conditions
User experience
Transport
4. Automatically
configure the
ring time in the
morning
Efficiency Customer Vertical
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 16
3. Predictive analytics
about traffic conditions
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 17
Connected Heater
at remote location
(no Wi-Fi available)
Connected House
User experience
Device Status
data
Making interaction
between users
and home devices
easier
E.g. Make sure that
the water pipes in
the house does not
freeze on winter
› Remote control
› Status monitoring
› Automatic alerts (e.g. devices status,
weather conditions)
Consumer
Connected
Heater
Efficiency Customer Vertical
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 17
Ericsson
Centralized
Database
Analyze
and
Expose
Connected
house App
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 18
IoT roaming Analytics
Ericsson
Centralized
Database
Global insights
› Providing better device tracking
capabilities
› Improving revenues
› Ensuring QoS when roaming
Efficiency Customer Vertical
Operational efficiency and Vertical opportunities
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 18
› Track where the containers are
› Track where they have been and if they
deviated from the planned route
Vertical – Containers’ company
› Track roamers location
› Optimize roaming partnerships
› Evaluate how changes in regulation will
affect roaming revenue
Operator
Resources
Roaming
optimization
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 19
Connected smart Billboard
› Revenue from brokering anonymized
subscriber info
› Income from high volume data usage
(billboard content)
Operator
Changing the way companies
interact with consumers
E.g. Imagine a billboard that can
dynamically adjust advertisement to
segments of people passing-by
› Safe, simplified and centralized update
of advertisements remotely
› Reach consumers, based on their location,
country, phone type and spending behavior
› Insights on advertisement relevance
Vertical - Advertising company
Smart
Billboard
Efficiency Customer Vertical
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 19
Vertical opportunities
Ericsson User and IoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 20
Ericsson- The right partner
Experience, credibility and market presence
Analytics with simplicity
Device agnostic solution
Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 20
User and IoT Data Analytics

User and IoT Data Analytics

  • 1.
    User and Iot DataAnalytics Empowered by Ericsson User Data Consolidation (UDC)
  • 2.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 2 › Market trends › Opportunities › Ericsson solution › Benefits › Extended view › Values from insights › Use cases › Conclusion content Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 2
  • 3.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 3 Source: Ericsson Mobility Report, Nov 2015 Connected Devices in 2021 28 BILLION 15 billionINDUSTRY and CONSUMER M2M / IoT DEVICES 13 billionMOBILE PHONES, PC’S, LAPTOPS, TABLETS Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 3
  • 4.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 4 new demands from IoT IoT Consumer IoT devices (Cellular and non-Cellular) Industries IoT devices (Cellular and non-Cellular) Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 4
  • 5.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 5 Leverage on the data asset Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 5 User Cellular and non-Cellular communication Consumer IoT Industry IoT + +Leverage existing subscriber data asset Identification SecurityAuthentication Services ~12.5B*~5.5B*~10B* * Estimated numbers for 2021. Source: Ericsson Mobility Report November 2015
  • 6.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 6 Launching Ericsson User and IoT Data Analytics Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 6 User and IoT subscriber database Other data sources Contributing to: UDC Operational efficiency User experience Vertical opportunities Extract insights Create Value Analyze UDC embedded analytics Unlock data
  • 7.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 7 User and IOT data analytics solution characteristics Analyze Expose ReportView Data management embedded analytics Real-time Massive data analysis Database performance › FAST to deploy › FLEXIBLE to customize › QUICK to scale › SIMPLE to integrate Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 7 Consolidate - Analyze - Expose Protecting users privacy
  • 8.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 8 Ericsson subscriber data management solution Empowering the Internet of Things value chain Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 8 Real-time analytics on data Controlled access and exposure of data Service access for users and IoT devices Data consolidation Data monetization Data security New New
  • 9.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 9 New Values from Insights User experience Vertical opportunities Personal management of connected devices Monetize insights towards the industry Operational efficiency Internal efficiency on IOT and User data management Analytics use cases Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 9 IOT Cross DB consistency Plan-to- provision Smart alarm KPI monitoring Roaming analytics Roaming analytics Connected house Connected bicycle Connected smart billboard
  • 10.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 10 Ericsson and Swisscom working together to improve network and operational efficiency based on subscriber data analytics. CHALLENGE › How to secure network performance while extracting insights from subscriber database in real time. › Be prepared for the unknown. Different stakeholders requesting different answers - and they need fast answers SOLUTION Ericsson User Data Consolidation (UDC) Empowered with embedded Data Analytics functionality GOALS TO SWISSCOM › Efficiency and speed › Answer to stakeholders needs quickly › Securely pave the way towards Big Data In collaboration with:
  • 11.
    Use case examples EricssonUser and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 11
  • 12.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 12 Iot cross DB Consistency Ericsson Subscriber database BSS/OSS System › Reduce revenue leakage › Reduce cost by removing device data from core network, in case these devices were deleted in CRM OSS/BSS systems › Reduce complaints from customers, due to data inconsistency Operator Automating the process to ensure that all connected devices are properly served and paid for Operational efficiency DB Consistency Efficiency Customer Vertical Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 12
  • 13.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 13 Plan-to-Provision IOT Ericsson Centralized Database Analyze Expose Fresh database 360o view of data › Be ready for massive roll-out of IoT devices with different characteristics › Agile management of devices (e.g. active, deactivate, reconfigure) › Optimize provisioning data for each device type › Export only relevant data and attributes (no “noise” data) Operator Bulk provision Managing mass IoT devices more efficiently Be able to add, remove and change device configurations centrally Operational efficiency Examples Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 13 Efficiency Customer Vertical › Optimize services quality settings on device basis › De-provision inactive devices (upon certain conditions) › Move massive number of devices to new access types or service (e.g. 3G to 4G and later 5G)
  • 14.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 14 Facilitating devices monitoring and KPI measurements E.g. Imagine an enterprise or company that wants to measure the effectiveness of a marketing campaign immediately on daily basis. ATTACHED NOW NOT ATTACHED THIS WEEK ATTACHED YESTERDAY ATTACHED NOW ATTACHED LAST MONDAY ATTACHED NOW AnalyzeExpose › Know if a device moved location › Status monitoring › Check video streaming quality from cameras › Data consumption from different device types Examples Kpi reporting Efficiency Customer Vertical Vertical opportunities Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 14 Ericsson Centralized Database › Effective tool to measure existing KPIs › Agility to implement new KPIs › Enable forecasting of services planning › Predicting how network changes may affect the KPIs › Reduce trouble shooting time Devices monitoring Operator and Verticals
  • 15.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 15 Connected bicycle User experience and Vertical opportunities › Device monitoring (e.g. find my bike) › Control from distance (e.g. lock/unlock) Consumer Smart bike Ericsson Centralized Database External databases User and device data Analyze Expose User and IoT data analytics › Target offerings to owners of high-end bikes (e.g. racing bikes or mountains bikes) › Potential fraud/theft detection and control (e.g. bike moving in a different location than its owner, notify owner, lock, locate) Vertical - Insurance company › Bike rental history (who rented it, when) › Planning and maintenance (insights and reporting on bike service usage and bikes’ connectivity ) › Locate available bikes (service to consumers) Vertical - Community bicycles Insurance City bikes Efficiency Customer Vertical Empowering Operators to provide more value in the IoT chain Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 15
  • 16.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 16 Smart alarm › Easy procedure to connect IoT personal device to the network and manage it (download applications, manage status) › Maximize sleeping time and wake up quality making the alarm intelligent Consumer › Create Personal IoT devices ecosystem around customers › Connect new category of SIM/non-SIM devices to the network › Offer new IoT Consumer applications playing a role of service provider in the IoT value chain Operator City + Smart alarm 1. Connect device and activate “Smart alarm” application 2. Retrieve data about traffic, weather conditions, city events Improving quality of life E.g. Imagine an alarm that every morning adjust its time according to prediction of traffic conditions User experience Transport 4. Automatically configure the ring time in the morning Efficiency Customer Vertical Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 16 3. Predictive analytics about traffic conditions
  • 17.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 17 Connected Heater at remote location (no Wi-Fi available) Connected House User experience Device Status data Making interaction between users and home devices easier E.g. Make sure that the water pipes in the house does not freeze on winter › Remote control › Status monitoring › Automatic alerts (e.g. devices status, weather conditions) Consumer Connected Heater Efficiency Customer Vertical Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 17 Ericsson Centralized Database Analyze and Expose Connected house App
  • 18.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 18 IoT roaming Analytics Ericsson Centralized Database Global insights › Providing better device tracking capabilities › Improving revenues › Ensuring QoS when roaming Efficiency Customer Vertical Operational efficiency and Vertical opportunities Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 18 › Track where the containers are › Track where they have been and if they deviated from the planned route Vertical – Containers’ company › Track roamers location › Optimize roaming partnerships › Evaluate how changes in regulation will affect roaming revenue Operator Resources Roaming optimization
  • 19.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 19 Connected smart Billboard › Revenue from brokering anonymized subscriber info › Income from high volume data usage (billboard content) Operator Changing the way companies interact with consumers E.g. Imagine a billboard that can dynamically adjust advertisement to segments of people passing-by › Safe, simplified and centralized update of advertisements remotely › Reach consumers, based on their location, country, phone type and spending behavior › Insights on advertisement relevance Vertical - Advertising company Smart Billboard Efficiency Customer Vertical Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 19 Vertical opportunities
  • 20.
    Ericsson User andIoT Data Analytics - .com version | Commercial in confidence | © Ericsson AB 2015 | 2015-12-22 | Page 20 Ericsson- The right partner Experience, credibility and market presence Analytics with simplicity Device agnostic solution Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 | Page 20