Welcome to Mining Your Own Business Podcast. Each episode will bring in data and analytics gurus from around the world as they regale us with their data analytics stories and enlighten us with their secrets for how to turn data into actionable insights.

In this episode, we are joined by Liping Wu, a Senior Manager of Data Science at Advance Auto Parts.

Liping and Evan discuss how the many applications of data science that the enterprise analytics team is deploying at Advance Auto Parts, how the enterprise team achieves success with the different business verticals, and the advantages and disadvantages of having an enterprise data science team vs a team embedded within a business function.

You will hear how the the pandemic has impacted their data, the models the use, and the initiatives they work on. Liping specifically discusses the opportunities in improving supply chain demand forecasting.

Key Takeaways

• Where Advance Auto Parts is applying analytics in their business
• How the enterprise analytics team achieves success working with the different business functions
• Advantages and disadvantages of having an enterprise data science team vs embedded teams
• The impact of the pandemic on their data, models, and analytic initiatives
• The opportunities for using analytics in supply chain forecasting

 
Quotes

• Folks like us who have similar skill sets find it easier to cross-pollinate the technologies as it evolves because the design is changing and we need to keep learning every day. - Liping
• The auto parts industry had record high DIY sales after the dip in March and April In 2020 - Liping
• We did find that simplicity is the virtue in these changing times - Liping

Featured in this episode
Evan Wimpey
Director of Analytics Strategy at Elder Research.
Company website: www.elderresearch.com
Linkedin: https://www.linkedin.com/in/evan-wimpey-40469b47

Liping Wu
Senior Manager, Data Science at Advance Auto Parts
Linkedin: https://www.linkedin.com/in/liping-wu
Company Website: https://shop.advanceautoparts.com/
 
Chapters
00:00 Intro
01:50 Liping’s background
03:34 About Advance Auto Parts
06:12 How the enterprise analytics team works with the different business functions
09:33 How the Advance Auto analytics team is structured
13:27 Pros and cons of enterprise data science team vs teams embedded in verticals
19:31 The impact of the pandemic on their data science efforts
26:02 If there was a magic “analytic success” button, where would Liping use it at Advance Auto Parts?

Find more show notes, transcripts, & more episodes at:
https://www.elderresearch.com/resource/podcasts/