1. Thursday October 27th - Friday October 28th
@ The Henry, Detroit - MI
Lyudmila Mishra Director – Automotive Solutions/ Covisint

2. Unlocking The Value of Connected Car Data
Lyudmila Mishra,
Director of automotive solutions - covisint

3. Connected Car – A rich source of data for multiple consumers
OTA
SW Update
Value Added Services
Usage
Telemetry
Usage data
VAS Provider
Vehicle
Designer
Component Telemetry
Personalized Experience
Content Notifications
Operational Health
Part Supplier
OTA SW Update
Commands
Commands
Vehicle Driver/
Passenger
Operational Data
Usage Data Customer Data
Notifications
Service Offers
Auto OEM
Telemetry Diagnostics
Operational Data Customer Data
Commands
DSC Rep
DSC Manager

4. The Challenges
with Realizing Value from Data

5. Unprecedented growth in volume of data.
Industry estimates show that data is growing at a rate as high as 45 percent per year.
Connected cars are one of the fastest growing sources of data.

6. Explosion in number of sources of data
Increasing cloud adoption and decreasing data storage costs are enabling OEM IT teams to manage staggering quantities of data from disparate sources but with limited ability to tap into its value

7. Unstructured data makes it hard to draw insights or value
Many disparate sources
Each sends data in proprietary format
Many consumers
Each needs data translated to its own conforming data models before data can be transformed into information.
Many to many relationships between data sources and data consumers
Forces big upfront IT spend and slow realization of value from data.

8. Value in Data is Context Sensitive Value in Data is Time Sensitive
 Data are the facts or details from which information is derived.
Value is realized when information is derived. Individual pieces of data are rarely useful alone.
For data to become valuable, data needs to be put into context
 When data is outdated, information derived from it can be misleading
There is negative value in data if information cannot be derived in near real time.

9. Organizations are drowning in data
Automotive related businesses are embracing new applications and data is being repurposed and imported into services and repositories.
Competing requirements for data access, data protection, data security and data retention is causing data to be replicated across applications

10. Data ownership is not well understood
Organizations are struggling with data ownership.
Who owns data generated by sensors?
Sensor manufacturer?
Tier-2 supplier who utilized the sensor in a part?
Tier-1 supplier who utilized the part?
OEM who assembled the vehicle?
Vehicle owner?
DMS/DSP who reads the data?

11. Data must be secured appropriately
Organizations need to apply governance to where sensitive data resides
Regulations and privacy laws differ by country
Individual owners of connected vehicles have a right to opt-in or opt-out of data sharing thereby complicating matters

12. How to define a Solution
USE concepts From THE REAL World
CONCEPTS SHOULD BE reusable to address multiple opportunities
FACTS
The real world can be represented by a collection of overlapping ecosystems.
Ecosystems are formed when interactions are established between interconnected entities, whether people, systems, or things.
Monetization opportunities exist because of interactions between entities.
SOLUTION
Create a platform that can easily model ecosystems
Create a platform that can easily establish dynamic and controlled interactions
within an ecosystem
between ecosystems
Create opportunity for monetary incentive to both producer and consumer of data per interaction (thereby removing contention over data ownership)

13. How to model the connected car ecosystem
OTA
SW Update
Value Added Services
Usage
Telemetry
Usage data
VAS Provider
Vehicle
Designer
Component Telemetry
Personalized Experience
Content Notifications
Operational Health
Part Supplier
OTA SW Update
Commands
Commands
Vehicle Driver/
Passenger
Operational Data
Usage Data Customer Data
Notifications
Service Offers
Auto OEM
Telemetry Diagnostics
Operational Data Customer Data
Commands
DSC Rep
DSC Manager

14. Dynamic Entity Relationship Mapping
People
Things
Systems
Customer – Partners - Suppliers
Machines – Cars – Phones - Homes
SORs – SOEs – 3rd Party Apps
Key concept is to manage complex web of relationships between entities in an ecosystem
Identity lifecycle management, identity relationship management are must have features
Ability to register, authenticate and authorize interaction across the entire lifecycle of people, systems and things.
Fine-grained audit and tracking

15. Portable Digital Identities
Another key concept is to enable identities to be portable across ecosystems.
Value of data increases as more identities, especially from other ecosystems, interact with it.
A must have feature is to have the ability to dynamically inject identities into cooperating ecosystems and establish relationships based on
Identity attributes,
Identity lifecycle state
Relationship to other identities

16. Real Time/ Near Real Time Data Exchange
Yet another key concept is the ability to establish communication channels to create interactions between entities in an ecosystem
Data streams are such communication channels.
In order to support the time-sensitive needs for value, data streams should be able to support millions of message exchanges per second, between millions of things in near real-time

17. Injectable Data Orchestration and Control
Ecosystem interaction requires dynamic control of what things can do, with whom & when
Requires injection of context via business rules dynamically for routing to the right recipient (application) for real time decision- making
Data streams must
Support multiple protocols,
Allow new identities to subscribe to messages flowing on the data stream
Allow new identities to publish messages to the data stream

18. Stitching the Concepts Together
OTA
SW Update
Value Added Services
Usage
Telemetry
Usage data
VAS Provider
Vehicle
Designer
Component Telemetry
Personalized Experience
Content Notifications
Operational Health
Part Supplier
OTA SW Update
Commands
Commands
Vehicle Driver/
Passenger
Operational Data
Usage Data Customer Data
Notifications
Service Offers
Auto OEM
Telemetry Diagnostics
Operational Data Customer Data
Commands
DSC Rep
DSC Manager

19. Monetizing Vehicle Data
Vehicle Driver
Auto Insurance Provider
Dealership Service Center
Source of Data (driving pattern)
Authorizes temporary access to driving patterns and driving history to receive insurance premium discounts
Opts in to receive vehicle maintenance reminders and coupons from preferred dealerships
Pays to participates in OEM marketplace and become a registered service provider
Pays to subscribe to vehicle data when driver authorizes temporary access
Reduces cost due to non- targeted advertising
Personalized incentives for good driving behavior helps reduce number of claims and increases profitability for insurance provider
Pays to subscribe to vehicle data when driver opts in to receive maintenance reminders
Reduces cost of non-targeted advertising – pushes coupons directly to car based on specific trouble codes
Earns revenue by sharing customer satisfaction scores with OEM, parts performance reports, etc.

20. Questions? Comments? Thank You! Please visit www.covisint.com
or our office at Evergreen Rd, Southfield, MI