White Papers

Big Data Transforms the Automotive Market

Data Commercialization Approaches, Business Model Strategies, and Best Practices for OEMs

Executive Summary


The challenge of commercializing data captured during the lifespan of a vehicle’s operation can be met with a comprehensive, multi-layered approach, but this takes a high degree of expertise and experience. In the interests of both the OEM and consumer, this approach must include provisions to protect user privacy, efficient data management processes, built-in data security mechanisms, and forward-looking engineering for the connected car. OEMs are only going to embrace data exchange programs with parties if certain considerations—outside of their core competencies—are skillfully handled.

This white paper discusses the key requirements that must be met to ensure Big Data provides a profitable avenue for automakers and a positive customer experience that helps sell cars. Complementary opportunities in other industry sectors are also highlighted.

Automotive OEM and Big Data

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Table of Contents

    • Pillar 1: Data Management: Integrity, Security, And Privacy
      • Transparency
      • Privacy
      • Security
      • Required Vehicle Equipment
    • Pillar 2: Sufficiency Of The Data
    • Pillar 3: Uses Of The Data
      • Emerging IoT Applications
      • Applying Analytics
    • Best Bets For Low-Risk Data Commercialization Benefits

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