AutoMobility Advisors Trend Reports White Papers

An AutoMobility Advisors White Paper

7 RULES FOR CONNECTED VEHICLE DATA COLLECTION AND UTILIZATION

by AutoMobility Advisors' Allen Levenson and Chip Goetzinger

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AutoMobility Advisors (AMA) proudly presents its latest white paper: “AMA’s 7 Rules for Connected Vehicle Data Collection and Utilization.” Authored by Allen Levenson, Director of Data & Analytics, and Chip Goetzinger, Solutions Director, this comprehensive guide is essential reading for industry professionals navigating the complex landscape of connected mobility.

Today’s automobiles are more than mere vehicles; they are sophisticated computers on wheels, generating vast amounts of data with every mile driven. This data, ranging from vehicle usage patterns to telemetry insights, holds immense potential for both internal optimization and external monetization. However, realizing this potential requires a strategic approach to data collection and utilization.

In recent years, the automotive industry has witnessed ambitious projections regarding the monetization of vehicle data. Yet, despite initial optimism, challenges have emerged, including regulatory hurdles, ethical concerns, and customer backlash. The recent controversy surrounding General Motors’ sale of driving behavior data underscores the importance of responsible data practices.

In response to these challenges, AutoMobility Advisors has developed a set of guiding principles to ensure the responsible collection and utilization of connected vehicle data. These principles, encapsulated in AMA’s 7 Rules, serve as a blueprint for industry stakeholders seeking to navigate the complexities of data-driven mobility solutions.

As the automotive industry continues to embrace the era of connected mobility, responsible data practices are more critical than ever. AutoMobility Advisors stands at the forefront of this transformation, advocating for ethical, customer-centric approaches to data collection and utilization. With AMA’s 7 Rules as a guiding framework, industry stakeholders can navigate the complexities of data-driven innovation while upholding the highest standards of integrity and accountability.

Watch the webinar on AMA’s 7 Rules HERE

May 2024 White Paper Download

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About the Authors

About Allen Levenson

About Allen Levenson

Director of Data & Analytics
Allen is the Director of Data & Analytics for AMA. Prior to joining AMA in 2023, Allen was the Head of Sales, Marketing & Brand Analytics for General Motors’ Chief Data & Analytics Office (CDAO), where he led a 150-person AI-driven digital transformation and created enterprise data assets providing insights on a repeatable basis, resulting in $100+ million business value. Prior to GM, Allen led the turnaround and sale of Prospect Vision, the automotive industry’s pioneer in data “equity” mining. Allen was also the Chief Sales & Marketing Officer for Asbury Automotive Group, where he led brand marketing and a 200-person Internet sales team, and was an integral part of the company’s successful IPO. Previous to Asbury, Allen founded an e-commerce company (Gazelle.com) and was a management consultant with both McKinsey & Company and Bain & Company. Allen holds an MBA from The Wharton School at the University of Pennsylvania and a BA in International Relations from Tufts University.
Chip Goetzinger

Chip Goetzinger

Solutions Director
Chip is the Solutions Director for AMA. Previously, Chip worked for SiriusXM Connected Vehicle Services as VP and GM in various roles from Strategy to Connected Products to Planning, PMO, and Agile. Prior to SXM CVS, Chip was with Nissan North America for over 12 years. He was one of the founding members of NNA’s connected services organization and was Deputy GM of Technology for that team, responsible for requirements, architecture, program management, and quality assurance. Chip also has extensive experience in Silicon Valley in product management and business development including co-founding and running a decision software startup. He holds bachelor’s and master’s degrees in computer science from MIT and an MBA from the Kellogg School of Management.

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