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Automotive data aggregation and analytics platform: enabling new business models for vehicle OEM's and service providers
Yaroslav Domaratsky, PhD
https://www.linkedin.com/in/yaroslav-domaratsky
Product conceptTarget market
Target customers and customer needs
Product idea
Opportunities• Could leverage team experience to minimize
product development cost
• End customer will minimize investment to IT
infrastructure
• Could cooperate with local OEMs and service
providers to verify the product with real vehicle
data.
Threats• Vehicle OEMs and service providers do not
believe in new business models enabled by
prescriptive data analytics and continuous
insight
• Delays in ADV and (or) Internet of Cars market
adoption.
Customers Common customer needs Customer specific needs
Vehicle OEM Need secure and highly available data aggregation and analytics platform.
Want to minimize investment to the platform development and operation.
May benefit from new business models enabled by prescriptive data
analytics and continuous insight.
Own vehicle data. Want to control end user services ecosystem.
Automotive insurance service provider Own customer data. Own data analytics algorithms.
1st phase: Develop the platform for vehicle OEMs. Show leadership in the
prescriptive vehicle data analytics. Launch the service
2nd phase: Develop IP and data analytics algorithms for the new business
models based on ADV and car sharing. Sell the service to the
service providers.
Monetization strategy
Annual WW sales of CVs will exceed 45M in 2020.
We target the below customers:
• Vehicle OEM’s who not yet launched CV services
massively
• Automotive insurance service providers who deploy
new business models based on ADV and car sharing.
CV = Connected Vehicle WW = World Wide OSS = Open Source Software
ADV = Autonomous Driving Vehicle IP = Intellectual Property OEM = Original Equipment Manufacturer
Provide the following features based on OSS data platform:
• Enable new business models through prescriptive data analytics and
continuous insight
• Real time and batch analytics for vehicle data, full data encryption
• Unlimited horizontal scalability, high availability and fault tolerance
• The product validated with real vehicle data.
Technical detailsOSS based data platform (*)
Available software assetsThe team already integrated core OSS components and prototyped day 1 services.
* - additional information could be provided upon request VAS = Value Added Service VM = Virtual Machine
VM layered view
Benefits for the customer• Flexible deployment options including on-prem, private and public cloud
• High availablity, high performance and fault tolerance
• Highest security level, full data encryption
• There are no license fees for base SW components
• Core data analytics algorithms and services validated with real vehicle data
• State of the art continious insight concept supported.
Lambda architecture supported Data analytics maturity levels
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Competitive differentiation• New business models and unique service differentiation features enabled by
prescriptive analytics and continuous insight (see next slide)
• New business models enabled by ADV, IoT and Internet of Cars concepts
• Customers could use core data analytics algorithms validated with real vehicle
data.
New features enabled by continuous insight
Continuous insight conceptContinuous insight through advanced situation detection (*)
Decision
automation and
continuous insight
1. Intelligently aggregate and analyze information relevant to particular
vehicle (user) context / situation including the data collected from
• Vehicle OEM pre installed and aftermarket devices
• Road infrastructure elements, other ITS and smart city devices
• Driver and vehicle occupants personal devices
• Other devices related to vehicle (user) context / situation.
2. Analyze the current vehicle (user) situation, predict the situation
progression, formulate decisions and to trigger actions to:
• Minimize risks for
• Driver and vehicle occupants
• Other vehicles and pedestrians
• Vehicle OEM and insurance company
• Maximize ROI for
• Driver (vehicle owner)
• Vehicle OEM and insurance company
3. Constantly adjust system operation to
• Improve customer relationships
• Avoid negative situations and encourage positive ones to occur.
* - IBM SG24-8293-00: Systems of Insight for Digital Transformation
With the product you could
The solution enables new business models for vehicle OEMs and service providers
Specific use cases could be prototyped based on customer needs