user and iot data analytics

User and Iot Data Analytics Empowered by Ericsson User Data Consolidation (UDC)


Source: Ericsson Mobility Report, Nov 2015

Connected Devices

in 2021 28 BILLION

15 billion INDUSTRY and CONSUMER M2M / IoT DEVICES

13 billion MOBILE PHONES, PC’S, LAPTOPS, TABLETS



new demands from IoT

IoT

Consumer IoT devices (Cellular and non-Cellular)

Industries IoT devices (Cellular and non-Cellular)



Leverage on the data asset


User

Cellular and non-Cellular communication

Consumer IoT Industry IoT

+ + Leverage existing subscriber data asset

Identification Security Authentication Services

~12.5B* ~5.5B* ~10B*

* Estimated numbers for 2021. Source: Ericsson Mobility Report November 2015


Launching Ericsson User and IoT Data Analytics


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


User and IOT data analytics solution characteristics

Analyze Expose

Report View

Data management embedded analytics

Real-time

Massive data analysis

Database performance

› FAST to deploy

› FLEXIBLE to customize

› QUICK to scale

› SIMPLE to integrate


Consolidate - Analyze - Expose

Protecting users privacy


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


New Values from Insights

User experience


Personal management of connected devices

Monetize insights towards the industry


Internal efficiency on IOT and User data

management

Analytics use cases


IOT Cross DB consistency

Plan-to-provision

Smart alarm

KPI monitoring

Roaming analytics

Roaming analytics

Connected house

Connected bicycle

Connected smart billboard


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:

http://www.google.se/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&uact=8&ved=0ahUKEwjbhsm0utHJAhVBXBQKHaV5ALcQjRwIBw&url=http://www.cardchange.ch/en/buy-swisscom-gift-cards&psig=AFQjCNGGWjY-gR8bkLSSukwMpHQswP9HQA&ust=1449842508299199

Use case examples Ericsson User and IoT Data Analytics | Commercial in confidence | © Ericsson AB 2015 | 2015-12-15 |


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


DB Consistency

Efficiency Customer Vertical



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



› 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)


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

Analyze Expose

› Know if a device moved location › Status monitoring › Check video streaming quality from cameras › Data consumption from different device types

Examples

Kpi reporting





› 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


Connected bicycle User experience and Vertical opportunities

› Device monitoring (e.g. find my bike) › Control from distance (e.g. lock/unlock)

Consumer

Smart bike


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


Empowering Operators to provide more value in the IoT chain



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



3. Predictive analytics about traffic conditions


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




Analyze and

Expose

Connected house App


IoT roaming Analytics


Global insights › Providing better device tracking

capabilities › Improving revenues › Ensuring QoS when roaming


Operational efficiency and Vertical opportunities


› 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


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





Ericsson- The right partner

Experience, credibility and market presence

Analytics with simplicity

Device agnostic solution


user and iot data analytics

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