User and Iot Data Analytics Empowered by Ericsson User Data Consolidation (UDC)
content Market trends Opportunities Ericsson solution Benefits Extended view Values from insights Use cases Conclusion Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB Page 2015-12-22 2 Page 2
Connected Devices in 2021 28 BILLION 13 billion MOBILE PHONES, PC S, LAPTOPS, TABLETS Source: Ericsson Mobility Report, Nov 2015 15 billion INDUSTRY and CONSUMER M2M / IoT DEVICES Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB Page 2015-12-22 3 Page 3
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 -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB Page 2015-12-22 4 Page 4
Leverage on the data asset ~10B* ~5.5B* ~12.5B* Leverage existing subscriber data asset User + + Consumer IoT Industry IoT Cellular and non-cellular communication Identification Authentication Services Security * Estimated numbers for 2021. Source: Ericsson Mobility Report November 2015 Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB 2015-12-22 Page 5 Page 5
Launching Ericsson User and IoT Data Analytics User and IoT subscriber database Other data sources UDC Unlock data UDC embedded analytics Analyze Extract insights Create Value Contributing to: Operational efficiency User experience Vertical opportunities Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB 2015-12-22 Page 6 Page 6
User and IOT data analytics solution characteristics Data management embedded analytics View Analyze Report Expose Real-time Massive data analysis Database performance Protecting users privacy FAST to deploy FLEXIBLE to customize QUICK to scale SIMPLE to integrate Consolidate - Analyze - Expose Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB 2015-12-22 Page 7 Page 7
Ericsson subscriber data management solution Data consolidation Data monetization Data security Service access for users and IoT devices Real-time analytics on data Controlled access and exposure of data New New Empowering the Internet of Things value chain Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB 2015-12-22 Page 8 Page 8
New Values from Insights Analytics use cases Operational efficiency User experience Vertical opportunities Internal efficiency on IOT and User data management Personal management of connected devices Monetize insights towards the industry IOT Cross DB consistency Connected bicycle Smart alarm Roaming analytics KPI monitoring Plan-toprovision Roaming analytics Connected house Connected smart billboard Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB 2015-12-22 Page 9 Page 9
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: Ericsson User and IoT Data Analytics -.com version Commercial in confidence Ericsson AB 2015 2015-12-22 Page 10
Use case examples Ericsson User and IoT Data Analytics Commercial in confidence Ericsson AB 2015 2015-12-15 Page 11
Iot cross DB Consistency Operational efficiency Automating the process to ensure that all connected devices are properly served and paid for Ericsson Subscriber database Operator 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 DB Consistency BSS/OSS System Efficiency Customer Vertical Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB Page 2015-12-2212 Page 12
Plan-to-Provision IOT Operational efficiency Managing mass IoT devices more efficiently Be able to add, remove and change device configurations centrally Operator 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) Bulk provision Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB Page 2015-12-22 13 Page 13 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) Ericsson Centralized Database Analyze Expose Fresh database 360 o view of data Efficiency Customer Vertical
Kpi reporting Vertical opportunities Devices monitoring ATTACHED NOW Operator and Verticals 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. Ericsson Centralized Database NOT ATTACHED THIS WEEK ATTACHED YESTERDAY ATTACHED NOW ATTACHED LAST MONDAY ATTACHED NOW 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 Expose Analyze Examples Know if a device moved location Status monitoring Check video streaming quality from cameras Data consumption from different device types Efficiency Customer Vertical Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB Page 2015-12-22 14 Page 14
Connected bicycle User experience and Vertical opportunities External databases Ericsson Centralized Database Empowering Operators to provide more value in the IoT chain User and device data User and IoT data analytics Analyze Expose Consumer Device monitoring (e.g. find my bike) Control from distance (e.g. lock/unlock) Vertical - Insurance company 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 - Community bicycles 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) Smart bike Insurance City bikes Efficiency Customer Vertical Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB 2015-12-22 Page Page 15
Smart alarm User experience 4. Automatically configure the ring time in the morning Smart alarm + 3. Predictive analytics about traffic conditions 2. Retrieve data about traffic, weather conditions, city events 1. Connect device and activate Smart alarm application Improving quality of life E.g. Imagine an alarm that every morning adjust its time according to prediction of traffic conditions Transport City Consumer 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 Operator 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 Efficiency Customer Vertical Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB 2015-12-22 Page 16 Page 16
Connected House User experience Consumer Remote control Status monitoring Automatic alerts (e.g. devices status, weather conditions) Connected Heater Making interaction between users and home devices easier Device Status data E.g. Make sure that the water pipes in the house does not freeze on winter Connected Heater at remote location (no Wi-Fi available) Ericsson Centralized Database Analyze and Expose Connected house App Efficiency Customer Vertical Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB 2015-12-22 Page 17 Page 17
IoT roaming Analytics Operational efficiency and Vertical opportunities Providing better device tracking capabilities Improving revenues Ensuring QoS when roaming Global insights Vertical Containers company Track where the containers are Track where they have been and if they deviated from the planned route Resources Operator Track roamers location Optimize roaming partnerships Evaluate how changes in regulation will affect roaming revenue Roaming optimization Ericsson Centralized Database Efficiency Customer Vertical Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB Page 2015-12-22 18 Page 18
Connected smart Billboard Vertical opportunities Changing the way companies interact with consumers E.g. Imagine a billboard that can dynamically adjust advertisement to segments of people passing-by Vertical - Advertising company Safe, simplified and centralized update of advertisements remotely Reach consumers, based on their location, country, phone type and spending behavior Insights on advertisement relevance Smart Billboard Operator Revenue from brokering anonymized subscriber info Income from high volume data usage (billboard content) Efficiency Customer Vertical Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB Page 2015-12-22 19 Page 19
Ericsson- The right partner Experience, credibility and market presence Analytics with simplicity Device agnostic solution Ericsson User and IoT Data Analytics -.com Commercial version in Commercial confidence in confidence Ericsson AB 2015 Ericsson 2015-12-15 AB Page 2015-12-22 Page 20