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191: From Amazon to Consulting: Time Series Forecasting and How to Communicate Data Analytics Insights with David McCandless of McCandless Consulting

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Manage episode 420869457 series 3264623
Content provided by Rudderstack. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rudderstack or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Highlights from this week’s conversation include:

  • David's Background and Journey in Data (0:30)
  • Transition to Time Series Forecasting (2:03)
  • Working on Time Series Forecasting at Amazon (2:55)
  • Challenges and Experience in Time Series Forecasting (4:32)
  • Transitioning to a New Role at Amazon (5:52)
  • Tools and Methods for Time Series Forecasting (8:17)
  • Forecasting Impact and Accuracy (15:30)
  • Explaining Variance and Lessons Learned (18:58)
  • Understanding Downstream Consumers and Empathy for Business Leaders (20:36)
  • Amazon's Culture and Decision-Making Process (24:27)
  • Assimilating into Amazon's Culture (26:04)
  • Interpreting Data for Business Stakeholders (28:34)
  • Consulting for Small Businesses (30:28)
  • Challenges in Automation and Maintenance (32:18)
  • Analyzing Financial Metrics for Small Businesses (34:51)
  • Tooling and Data Solutions for Small Businesses (39:52)
  • Empowering Small Businesses with Data (46:02)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

  continue reading

360 episodes

Artwork
iconShare
 
Manage episode 420869457 series 3264623
Content provided by Rudderstack. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rudderstack or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Highlights from this week’s conversation include:

  • David's Background and Journey in Data (0:30)
  • Transition to Time Series Forecasting (2:03)
  • Working on Time Series Forecasting at Amazon (2:55)
  • Challenges and Experience in Time Series Forecasting (4:32)
  • Transitioning to a New Role at Amazon (5:52)
  • Tools and Methods for Time Series Forecasting (8:17)
  • Forecasting Impact and Accuracy (15:30)
  • Explaining Variance and Lessons Learned (18:58)
  • Understanding Downstream Consumers and Empathy for Business Leaders (20:36)
  • Amazon's Culture and Decision-Making Process (24:27)
  • Assimilating into Amazon's Culture (26:04)
  • Interpreting Data for Business Stakeholders (28:34)
  • Consulting for Small Businesses (30:28)
  • Challenges in Automation and Maintenance (32:18)
  • Analyzing Financial Metrics for Small Businesses (34:51)
  • Tooling and Data Solutions for Small Businesses (39:52)
  • Empowering Small Businesses with Data (46:02)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

  continue reading

360 episodes

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