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210: From Reporting Basics to AI Automation with Eric Dodds and John Wessel: Navigating the Complexities of Data Standardization, Observability, and Business Alignment

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Manage episode 444285476 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:

  • Reporting and Analytics Discussion (1:09)
  • Automation in Reporting (3:16)
  • AI's Impact on Analytics (5:00)
  • Data Quality Challenges (6:56)
  • Reinventing Reporting (9:23)
  • Automated Reporting Services (14:35)
  • Growth Trajectory of Reporting Tools (16:01)
  • Market Size Comparison (18:04)
  • Static vs. Time Series Data (21:27)
  • Differentiating Reporting and Analytics (26:26)
  • Ad Hoc Analysis vs. Reporting (29:52)
  • The Role of Data Scientists (34:03)
  • Planning the Reset (38:36)
  • Focus on Business Problems (41:30)
  • Identifying Business Needs (44:01)
  • Heuristics and Intuition (48:03)
  • Importance of Monitoring (52:20)
  • Observability in Analytics (55:53)
  • Observability in Metrics (58:08)
  • Consistency in Definitions (1:02:39)
  • Impact of Changing Definitions and Final Takeaways (1:04:15)

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

399 episodes

Artwork
iconShare
 
Manage episode 444285476 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:

  • Reporting and Analytics Discussion (1:09)
  • Automation in Reporting (3:16)
  • AI's Impact on Analytics (5:00)
  • Data Quality Challenges (6:56)
  • Reinventing Reporting (9:23)
  • Automated Reporting Services (14:35)
  • Growth Trajectory of Reporting Tools (16:01)
  • Market Size Comparison (18:04)
  • Static vs. Time Series Data (21:27)
  • Differentiating Reporting and Analytics (26:26)
  • Ad Hoc Analysis vs. Reporting (29:52)
  • The Role of Data Scientists (34:03)
  • Planning the Reset (38:36)
  • Focus on Business Problems (41:30)
  • Identifying Business Needs (44:01)
  • Heuristics and Intuition (48:03)
  • Importance of Monitoring (52:20)
  • Observability in Analytics (55:53)
  • Observability in Metrics (58:08)
  • Consistency in Definitions (1:02:39)
  • Impact of Changing Definitions and Final Takeaways (1:04:15)

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

399 episodes

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