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

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

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

The Challenges with Realizing Value from Data

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.

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

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.

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 For data to become valuable, data needs to be put into context  When data is outdated, information derived from it can be misleading There is negative value in data if information cannot be derived in near real time.

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

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?

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

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)

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

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

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

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

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

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

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.

Questions? Comments? Thank You! Please visit www.covisint.com or our office at 26533 Evergreen Rd, Southfield, MI