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Innhold levert av Auto Care Association. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Auto Care Association eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Indicators: Navigating Automotive Data: Quality, Precision, and Predictions

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Manage episode 444078966 series 3588104
Innhold levert av Auto Care Association. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Auto Care Association eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Host, Mike Chung and Todd Campau from S&P Global Mobility explore the immense potential of vehicle registration data. You'll uncover how this crucial information not only monitors industry performance but also aids government and insurance sectors in strategic decision-making. Todd shares his unique journey from working directly with manufacturers to providing invaluable data insights, emphasizing the importance of data quality and precision sourcing in driving actionable results.
Ever wondered how vehicle registration data evolved from the days of Henry Ford to today's sophisticated systems? We take you on a historical tour, illustrating how state registrations and manufacturer data are meticulously aggregated to ensure accuracy and privacy. Learn about the Vehicle Identification Number (VIN) system and its pivotal role in decoding essential vehicle attributes for market trend analysis and vehicle recalls. We'll also dive into the challenges of data management across all 50 states and the burgeoning trends in alternative propulsion vehicles like EVs. Despite some hurdles, discover why EV sales have plateaued yet remain a critical area for industry focus.
In our final segment, we shift gears to predictive analytics and the aging vehicle market. Todd sheds light on why the average age of vehicles continues to climb and how economic conditions and consumer hesitancy towards new technologies like EVs contribute to this trend. We'll discuss the implications for the aftermarket, from part proliferation to managing diverse powertrains. Plus, Todd offers invaluable advice for recent graduates aiming to enter this fascinating field—curiosity and challenging the status quo are key. This episode is packed with insights that will transform how you think about the intersection of data and the automotive industry. Join us and stay ahead of the curve!

Send us a text

To learn more about the Auto Care Association visit autocare.org.
To learn more about our show and suggest future topics and guests, visit autocare.org/podcast

  continue reading

Kapitler

1. Indicators: Navigating Automotive Data: Quality, Precision, and Predictions (00:00:00)

2. Exploring Data for Automotive Industry (00:00:08)

3. Vehicle Data Aggregation and Analysis (00:06:28)

4. Challenges of Alternative Vehicle Adoption (00:17:18)

5. Trends in Vehicle Age and Market (00:30:53)

6. Analyzing Vehicle Data for Forecasting (00:39:05)

18 episoder

Artwork
iconDel
 
Manage episode 444078966 series 3588104
Innhold levert av Auto Care Association. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Auto Care Association eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Host, Mike Chung and Todd Campau from S&P Global Mobility explore the immense potential of vehicle registration data. You'll uncover how this crucial information not only monitors industry performance but also aids government and insurance sectors in strategic decision-making. Todd shares his unique journey from working directly with manufacturers to providing invaluable data insights, emphasizing the importance of data quality and precision sourcing in driving actionable results.
Ever wondered how vehicle registration data evolved from the days of Henry Ford to today's sophisticated systems? We take you on a historical tour, illustrating how state registrations and manufacturer data are meticulously aggregated to ensure accuracy and privacy. Learn about the Vehicle Identification Number (VIN) system and its pivotal role in decoding essential vehicle attributes for market trend analysis and vehicle recalls. We'll also dive into the challenges of data management across all 50 states and the burgeoning trends in alternative propulsion vehicles like EVs. Despite some hurdles, discover why EV sales have plateaued yet remain a critical area for industry focus.
In our final segment, we shift gears to predictive analytics and the aging vehicle market. Todd sheds light on why the average age of vehicles continues to climb and how economic conditions and consumer hesitancy towards new technologies like EVs contribute to this trend. We'll discuss the implications for the aftermarket, from part proliferation to managing diverse powertrains. Plus, Todd offers invaluable advice for recent graduates aiming to enter this fascinating field—curiosity and challenging the status quo are key. This episode is packed with insights that will transform how you think about the intersection of data and the automotive industry. Join us and stay ahead of the curve!

Send us a text

To learn more about the Auto Care Association visit autocare.org.
To learn more about our show and suggest future topics and guests, visit autocare.org/podcast

  continue reading

Kapitler

1. Indicators: Navigating Automotive Data: Quality, Precision, and Predictions (00:00:00)

2. Exploring Data for Automotive Industry (00:00:08)

3. Vehicle Data Aggregation and Analysis (00:06:28)

4. Challenges of Alternative Vehicle Adoption (00:17:18)

5. Trends in Vehicle Age and Market (00:30:53)

6. Analyzing Vehicle Data for Forecasting (00:39:05)

18 episoder

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